_ | tumor | _ |
3-D RoI-Aware U-Net for Accurate and Efficient Colorectal | tumor | Segmentation |
3D brain | tumor | segmentation in MRI images based on a modified PSO technique |
3D Geometry-Based Quantification of Colocalizations in Multichannel 3D Microscopy Images of Human Soft Tissue | tumor | s |
3D Lacunarity in Multifractal Analysis of Breast | tumor | Lesions in Dynamic Contrast-Enhanced Magnetic Resonance Imaging |
3D Multi-Attention Guided Multi-Task Learning Network for Automatic Gastric | tumor | Segmentation and Lymph Node Classification |
3D Probabilistic Morphable Models for Brain | tumor | Segmentation |
3D Reconstruction of | tumor | s for Applications in Laparoscopy Using Conformal Geometric Algebra |
3D U-Net Brain | tumor | Segmentation Using VAE Skip Connection |
3D US-Based Evaluation and Optimization of | tumor | Coverage for US-Guided Percutaneous Liver Thermal Ablation |
3D Variational Brain | tumor | Segmentation using a High Dimensional Feature Set |
3D-DDA: 3D Dual-Domain Attention for Brain | tumor | Segmentation |
Accelerated brain | tumor | dynamic contrast-enhanced MRI using Adaptive Pharmaco-Kinetic Model Constrained method |
Accelerated liver | tumor | segmentation in four-phase computed tomography images |
Accurate | tumor | segmentation in FDG-PET images with guidance of complementary CT images |
Active deep neural network features selection for segmentation and recognition of brain | tumor | s using MRI images |
Adaptive Multiphase Liver | tumor | Segmentation With Multiscale Supervision |
Adaptive stochastic segmentation via energy-convergence for brain | tumor | in MR images |
Adrenal | tumor | characterization on magnetic resonance images |
Advanced imaging system for brain | tumor | automatic classification from MRI images using HOG and BOF feature extraction approaches |
ALA-Net: Adaptive Lesion-Aware Attention Network for 3D Colorectal | tumor | Segmentation |
AlexNet-NDTL: Classification of MRI brain | tumor | images using modified AlexNet with deep transfer learning and Lipschitz-based data augmentation |
Analysis of Brain | tumor | Using MR Images: A Brief Survey |
Analysis of | tumor | Vascularity Using Three-Dimensional Power Doppler Ultrasound Images |
Analyzing the evolution of breast | tumor | s through flow fields and strain tensors |
artificial intelligent algorithm for | tumor | detection in screening mammogram, An |
Assessment of Anti- | tumor | Immune Response in Colorectal Carcinomas from Whole Slide Images |
Assessment of | tumor | Blood Flow Distribution by Dynamic Contrast-Enhanced CT |
AST-Net: Lightweight Hybrid Transformer for Multimodal Brain | tumor | Segmentation |
Attempts to Bronchial | tumor | Motion Tracking in Portal Images during Conformal Radiotherapy Treatment |
Automated brain | tumor | detection and classification using weighted fuzzy clustering algorithm, deep auto encoder with barnacle mating algorithm and random forest classifier techniques |
Automated Brain | tumor | Diagnosis and Severity Analysis from Brain MRI |
Automated delineation of lung | tumor | s from CT images using a single click ensemble segmentation approach |
Automated Detection of Breast | tumor | s in Ultrasonic Images Using Fuzzy Reasoning |
Automated detection of glioblastoma | tumor | in brain magnetic imaging using ANFIS classifier |
Automated Localization of Brain | tumor | s in MRI Using Potential-K-Means Clustering Algorithm |
Automated Segmentation of Brain | tumor | Using Optimal Texture Features and Support Vector Machine Classifier |
Automated Segmentation of Brain | tumor | s in MRI Using Force Data Clustering Algorithm |
automatic and simple breast | tumor | classification using area matching, An |
Automatic brain | tumor | segmentation for a computer-aided diagnosis system |
Automatic Brain | tumor | Segmentation in Multispectral MRI Volumes Using a Random Forest Approach |
Automatic Classification System of Urine Bladder | tumor | s Employing Morphological and Textural Nuclear Features, An |
Automatic detection of brain | tumor | in magnetic resonance images using multi-texton histogram and support vector machine |
Automatic detection of malignant | tumor | s on mammogram |
Automatic detection of necrosis, normoxia and hypoxia in | tumor | s from multimodal cytological images |
Automatic Hepatic | tumor | Segmentation Using Composite Hypotheses |
Automatic liver | tumor | diagnosis with Dynamic-Contrast Enhanced MRI |
Automatic Liver | tumor | Segmentation on Dynamic Contrast Enhanced MRI Using 4D Information: Deep Learning Model Based on 3D Convolution and Convolutional LSTM |
Automatic liver | tumor | segmentation on multiphase computed tomography volume using SegNet deep neural network and K-means clustering |
Automatic Lung | tumor | Detection Based on GLCM Features |
Automatic method for | tumor | segmentation from 3-points dynamic PET acquisitions |
Automatic Quantification of Endothelial Nitric Oxide Levels in a Microvessel with and without | tumor | Cell Adhesion |
Automatic Radiofrequency Ablation Planning for Liver | tumor | s With Multiple Constraints Based on Set Covering |
Automatic Segmentation of Brain | tumor | Image Based on Region Growing with Co-constraint |
Automatic Segmentation of Kidney and Renal | tumor | in CT Images Based on 3D Fully Convolutional Neural Network with Pyramid Pooling Module |
Automatic segmentation system for liver | tumor | s based on the multilevel thresholding and electromagnetism optimization algorithm |
Automatic | tumor | Segmentation Using Knowledge-Based Techniques |
BayesCap: A Bayesian Approach to Brain | tumor | Classification Using Capsule Networks |
Bayesian model for brain | tumor | classification using clinical-based features, A |
BHAC-MRI: Backdoor and Hybrid Attacks on MRI Brain | tumor | Classification Using CNN |
Blob Segmentation Using Joint Space-Intensity Likelihood Ratio Test: Application to 3D | tumor | Segmentation |
Bone | tumor | segmentation from MR perfusion images with neural networks using multi-scale pharmacokinetic features |
Border detection on digitized skin | tumor | images |
Boundary detection in skin | tumor | images: An overall approach and a radial search algorithm |
Brain MR image | tumor | detection and classification using neuro fuzzy with binary cuckoo search technique |
Brain MR Image | tumor | Segmentation with Ventricular Deformation |
Brain MRI Image Segmentation in View of | tumor | Detection: Application to Multiple Sclerosis |
Brain MRI | tumor | Segmentation with 3D Intracranial Structure Deformation Features |
Brain | tumor | boundary detection in MR image with generalized fuzzy operator |
Brain | tumor | Cell Density Estimation from Multi-modal MR Images Based on a Synthetic Tumor Growth Model |
Brain | tumor | Cell Density Estimation from Multi-modal MR Images Based on a Synthetic Tumor Growth Model |
Brain | tumor | classification based on DWT fusion of MRI sequences using convolutional neural network |
Brain | tumor | classification by using a novel convolutional neural network structure |
Brain | tumor | Classification from Radiology and Histopathology using Deep Features and Graph Convolutional Network |
Brain | tumor | Classification in MRI Scans Using Sparse Representation |
Brain | tumor | Classification using Discrete Cosine Transform and Probabilistic Neural Network |
Brain | tumor | classification using sparse coding and dictionary learning |
Brain | tumor | Classification using Under-Sampled k-Space Data: A Deep Learning Approach |
Brain | tumor | detection and diagnosis using ANFIS classifier |
Brain | tumor | detection and patient survival prediction using U-Net and regression model |
Brain | tumor | diagnosis based on metaheuristics and deep learning |
Brain | tumor | extraction using graph based classification of MRI time series for diagnostic assistance |
Brain | tumor | grade classification using multi-step pre-training |
Brain | tumor | image pixel segmentation and detection using an aggregation of GAN models with vision transformer |
Brain | tumor | image segmentation based on prior knowledge via transformer |
Brain | tumor | segmentation and classification from magnetic resonance images: Review of selected methods from 2014 to 2019 |
Brain | tumor | segmentation and classification via adaptive CLFAHE with hybrid classification |
Brain | tumor | segmentation and multiview multiscale-based radiomic model for patient's overall survival prediction |
Brain | tumor | segmentation and survival time prediction using graph momentum fully convolutional network with modified Elman spike neural network |
Brain | tumor | segmentation based on the dual-path network of multi-modal MRI images |
Brain | tumor | segmentation from multiple MRI sequences using multiple kernel learning |
Brain | tumor | segmentation using a deep Shuffled-YOLO network |
Brain | tumor | Segmentation Using Convolutional Neural Networks in MRI Images |
Brain | tumor | severity analysis using modified multi-texton histogram and hybrid kernel SVM |
Brain | tumor | Type Classification via Capsule Networks |
Brain | tumor | s, Cortex, Cancer |
Breast Anatomy Enriched | tumor | Saliency Estimation |
Breast Cancer | tumor | Image Classification Using Deep Learning Image Data Generator |
Breast MRI Multi- | tumor | Segmentation Using 3d Region Growing |
Breast | tumor | Cellularity Assessment Using Deep Neural Networks |
Breast | tumor | Detection in MR Images Based on Density |
BUS-CAD: A computer-aided diagnosis system for breast | tumor | classification in ultrasound images using grid-search-optimized machine learning algorithms with extended and Boruta-selected features |
CANFIS based glioma brain | tumor | classification and retrieval system for tumor diagnosis |
CANFIS based glioma brain | tumor | classification and retrieval system for tumor diagnosis |
Capsule Networks' Interpretability for Brain | tumor | Classification Via Radiomics Analyses |
CARISI: Convolutional Autoencoder-Based Inter-Slice Interpolation of Brain | tumor | Volumetric Images |
Categorizing Extent of | tumor | Cell Death Response to Cancer Therapy Using Quantitative Ultrasound Spectroscopy and Maximum Mean Discrepancy |
CDANet: Channel Split Dual Attention Based CNN for Brain | tumor | Classification In Mr Images |
Characterizing the Survival-Associated Interactions Between | tumor | -Infiltrating Lymphocytes and Tumors From Pathological Images and Multi-Omics Data |
Characterizing the Survival-Associated Interactions Between | tumor | -Infiltrating Lymphocytes and Tumors From Pathological Images and Multi-Omics Data |
CKD-TransBTS: Clinical Knowledge-Driven Hybrid Transformer With Modality-Correlated Cross-Attention for Brain | tumor | Segmentation |
Classification of Benign and Malignant Breast | tumor | s by 2-D Analysis Based on Contour Description and Scatterer Characterization |
Classification of brain | tumor | from magnetic resonance images using probabilistic features and possibilistic Hanman-Shannon transform classifier |
Classification of patients with | tumor | using MR FLAIR images |
Classification of | tumor | Histology via Morphometric Context |
Classification of | tumor | in one single ultrasound image via a novel multi-view learning strategy |
Classification Task Assisted Segmentation Network for Breast | tumor | Segmentation in Ultrasound Images |
CLIP-Driven Universal Model for Organ Segmentation and | tumor | Detection |
Colon | tumor | localization using three input variants to Faster Region-based Convolutional Neural Network and lazy snapping |
Comment on Developing DCE-CT to Quantify Intra- | tumor | Heterogeneity in Breast Tumors With Differing Angiogenic Phenotype |
Comment on Developing DCE-CT to Quantify Intra- | tumor | Heterogeneity in Breast Tumors With Differing Angiogenic Phenotype |
comparative study of breast cancer | tumor | classification by classical machine learning methods and deep learning method, A |
Comparative Validation of Graphical Models for Learning | tumor | Segmentations from Noisy Manual Annotations |
Comparison of Breast MRI | tumor | Classification Using Human-Engineered Radiomics, Transfer Learning From Deep Convolutional Neural Networks, and Fusion Methods |
Comparison of Multi-resolution Analysis Patterns for Texture Classification of Breast | tumor | s Based on DCE-MRI |
complete automated algorithm for segmentation of tissues and identification of | tumor | region in T1, T2, and FLAIR brain images using optimization and clustering techniques, A |
Compound Neural Network for Brain | tumor | Segmentation, A |
comprehensive review on multi-organs | tumor | detection based on machine learning, A |
comprehensive review: Segmentation of MRI images: brain | tumor | , A |
Computer aided automated detection and classification of brain | tumor | s using CANFIS classification method |
Computer aided brain | tumor | detection system using watershed segmentation techniques |
Computer vision techniques for Upper Aero-Digestive Tract | tumor | grading classification: Addressing pathological challenges |
computer-aided approach for meningioma brain | tumor | detection using CANFIS classifier, A |
Computer-aided diagnosis system for tissue characterization of brain | tumor | on magnetic resonance images |
Computer-Aided | tumor | Detection Based on Multi-Scale Blob Detection Algorithm in Automated Breast Ultrasound Images |
Computer-Aided | tumor | Segmentation from T2-Weighted MR Images of Patient-Derived Tumor Xenografts |
Computer-Aided | tumor | Segmentation from T2-Weighted MR Images of Patient-Derived Tumor Xenografts |
Computer-assisted segmentation of brain | tumor | lesions from multi-sequence Magnetic Resonance Imaging using the Mumford-Shah model |
Computerized detection of malignant | tumor | s on digital mammograms |
Computerized | tumor | boundary detection using a Hopfield neural network |
Concatenated and Connected Random Forests With Multiscale Patch Driven Active Contour Model for Automated Brain | tumor | Segmentation of MR Images |
Convolutional Invasion and Expansion Networks for | tumor | Growth Prediction |
Coupled Dictionary Learning for Automatic Multi-Label Brain | tumor | Segmentation in Flair MRI images |
CR-SSL: A closely related self-supervised learning based approach for improving breast ultrasound | tumor | segmentation |
Cross-modality deep feature learning for brain | tumor | segmentation |
Crossbar-Net: A Novel Convolutional Neural Network for Kidney | tumor | Segmentation in CT Images |
Cu-net: Cascaded U-net with Loss Weighted Sampling for Brain | tumor | Segmentation |
D2-Net: Dual Disentanglement Network for Brain | tumor | Segmentation With Missing Modalities |
DA-Tran: Multiphase liver | tumor | segmentation with a domain-adaptive transformer network |
DARN: Deep Attentive Refinement Network for Liver | tumor | Segmentation from 3D CT volume |
data fusion approach to | tumor | delineation, A |
DCE-MRI Driven 3-D Reaction-Diffusion Model of Solid | tumor | Growth, A |
deep conventional neural network model for glioma | tumor | segmentation, A |
deep convolutional neural network trained on representative samples for circulating | tumor | cell detection, A |
deep fusion framework for unlabeled data-driven | tumor | recognition, A |
Deep learning approach for brain | tumor | classification using metaheuristic optimization with gene expression data |
deep learning approach for multi-stage classification of brain | tumor | through magnetic resonance images, A |
Deep Learning Meets Radiomics For End-To-End Brain | tumor | MRI Analysis |
deep learning model integrating convolution neural network and multiple kernel K means clustering for segmenting brain | tumor | in magnetic resonance images, A |
Deep learning-based robust hybrid approaches for brain | tumor | classification in magnetic resonance images |
Deep learning-based survival prediction of brain | tumor | patients using attention-guided 3D convolutional neural network with radiomics approach from multimodality magnetic resonance imaging |
Deep Neural Network With Consistency Regularization of Multi-Output Channels for Improved | tumor | Detection and Delineation |
Deformable registration model with local rigidity preservation for radiation therapy of lung | tumor | |
Design and analysis of a super compact UWB antenna for accurate detection of breast | tumor | s using monostatic radar-based microwave imaging technique |
Detecting brain | tumor | s using deep learning convolutional neural network with transfer learning approach |
Detecting the Edges of Lung | tumor | s by Classification Techniques |
Detection and diagnosis of brain | tumor | s using deep learning convolutional neural networks |
Detection and diagnosis of brain | tumor | s-framework using extreme machine learning and CANFIS classification algorithms |
Detection and diagnosis of meningioma brain | tumor | using ANFIS classifier |
Detection of Breast Cancer | tumor | Based on Morphological Watershed Algorithm |
Detection of breast | tumor | candidates using marker-controlled watershed segmentation and morphological analysis |
Detection of Cancerous | tumor | s on Chest X-ray Images: Candidate Detection Filter and Its Evaluation |
Detection of lung | tumor | using dual tree complex wavelet transform and co-active adaptive neuro fuzzy inference system classification approach |
Detection of the Invasion of Bladder | tumor | into Adjacent Wall Based on Textural Features Extracted from MRI Images |
Detection of | tumor | Cell Spheroids from Co-cultures Using Phase Contrast Images and Machine Learning Approach |
Detection of | tumor | Tissue Based on the Multispectral Imaging |
DetexNet: Accurately Diagnosing Frequent and Challenging Pediatric Malignant | tumor | s |
Developing DCE-CT to Quantify Intra- | tumor | Heterogeneity in Breast Tumors With Differing Angiogenic Phenotype |
Developing DCE-CT to Quantify Intra- | tumor | Heterogeneity in Breast Tumors With Differing Angiogenic Phenotype |
Development of automatic glioma brain | tumor | detection system using deep convolutional neural networks |
Development of computer-aided approach for brain | tumor | detection using random forest classifier |
Di-phase midway convolution and deconvolution network for brain | tumor | segmentation in MRI images |
Discrimination of Breast | tumor | s in Ultrasonic Images Using an Ensemble Classifier Based on the AdaBoost Algorithm With Feature Selection |
distinctive approach in brain | tumor | detection and classification using MRI, A |
DoDNet: Learning to Segment Multi-Organ and | tumor | s from Multiple Partially Labeled Datasets |
Domain Adaptation-Based Deep Learning for Automated | tumor | Cell (TC) Scoring and Survival Analysis on PD-L1 Stained Tissue Images |
Dual-force convolutional neural networks for accurate brain | tumor | segmentation |
Dual-pathway DenseNets with fully lateral connections for multimodal brain | tumor | segmentation |
Effective data augmentation for brain | tumor | segmentation |
efficient and automatic glioblastoma brain | tumor | detection using shift-invariant shearlet transform and neural networks, An |
efficient approach for brain image (tissue) compression based on the position of the brain | tumor | , An |
Efficient Brain | tumor | Segmentation with Dilated Multi-fiber Network and Weighted Bi-directional Feature Pyramid Network |
Efficient Framework for Brain | tumor | Segmentation in Magnetic Resonance Images, An |
Efficient Interactive Brain | tumor | Segmentation as Within-Brain kNN Classification |
Efficient Lattice Boltzmann Solver for Patient-Specific Radiofrequency Ablation of Hepatic | tumor | s |
Efficient Multilevel Brain | tumor | Segmentation With Integrated Bayesian Model Classification |
Efficient symmetry-driven fully convolutional network for multimodal brain | tumor | segmentation |
EM algorithm for brain | tumor | image registration: A tumor growth modeling based approach, An |
EM algorithm for brain | tumor | image registration: A tumor growth modeling based approach, An |
Encephalic NMR | tumor | Diversification by Textural Interpretation |
end-to-end brain | tumor | segmentation system using multi-inception-UNET, An |
enhanced framework for identifying brain | tumor | using discrete wavelet transform, deep convolutional network, and feature fusion-based machine learning techniques, An |
Enhancing brain | tumor | classification with transfer learning: Leveraging DenseNet121 for accurate and efficient detection |
Enhancing explainability in brain | tumor | detection: A novel DeepEBTDNet model with LIME on MRI images |
Enhancing level set brain | tumor | segmentation using fuzzy shape prior information and deep learning |
Enhancing Modality-Agnostic Representations via Meta-learning for Brain | tumor | Segmentation |
Ensemble Inversion for Brain | tumor | Growth Models With Mass Effect |
Ensemble of 2D Convolutional Neural Networks for | tumor | Segmentation, An |
Ensemble Prostate | tumor | Classification in H&E Whole Slide Imaging via Stain Normalization and Cell Density Estimation |
Entropy based segmentation of | tumor | from brain MR images: A study with teaching learning based optimization |
Entropy-Based Automatic Segmentation and Extraction of | tumor | s from Brain MRI Images |
Estimation of interlayer textural relationships to discriminate the benignancy/malignancy of brain | tumor | s |
Evaluating the Predictive Value of Glioma Growth Models for Low-Grade Glioma After | tumor | Resection |
Exploring Brain | tumor | Heterogeneity for Survival Time Prediction |
Exploring Task Structure for Brain | tumor | Segmentation From Multi-Modality MR Images |
Extended and optimized deep convolutional neural network-based lung | tumor | identification in big data |
Extended Res-UNet with Hierarchical Inner-Modules for Liver | tumor | Segmentation from CT Volumes |
Factorization-based active contour segmentation and pelican optimization-based modified bidirectional long short-term memory for ovarian | tumor | detection |
fast and efficient computer aided diagnostic system to detect | tumor | from brain magnetic resonance imaging, A |
Fast | tumor | Detector in Whole-Slide Image With Dynamic Programing Based Monte Carlo Sampling |
Feature Extraction from Contours Shape for | tumor | Analyzing in Mammographic Images |
Feature fusion and latent feature learning guided brain | tumor | segmentation and missing modality recovery network |
Feature-versus deep learning-based approaches for the automated detection of brain | tumor | with magnetic resonance images: A comparative study |
Focus, Segment and Erase: An Efficient Network for Multi-label Brain | tumor | Segmentation |
Forward-Looking Multimodal Endoscopic System Based on Optical Multispectral and High-Frequency Ultrasound Imaging Techniques for | tumor | Detection |
Fractal analysis of | tumor | in brain MR images |
Fractional wavelet transform based diagnostic system for brain | tumor | detection in MR imaging |
framework of fuzzy information fusion for the segmentation of brain | tumor | tissues on MR images, A |
Fully Automated Brain | tumor | Segmentation Using Two MRI Modalities |
Fully automatic and segmentation-robust classification of breast | tumor | s based on local texture analysis of ultrasound images |
Fully automatic brain | tumor | extraction and tissue segmentation from multimodal MRI brain images |
Fully Automatic Brain | tumor | Segmentation by Using Competitive EM and Graph Cut |
Fully automatic brain | tumor | segmentation using a normalized Gaussian Bayesian Classifier and 3D Fluid Vector Flow |
Fully Automatic Calibration of | tumor | -Growth Models Using a Single mpMRI Scan |
Fully Automatic Lesion Localization and Characterization: Application to Brain | tumor | s Using Multiparametric Quantitative MRI Data |
Fully automatic method for segmentation of brain | tumor | from multimodal magnetic resonance images using wavelet transformation and clustering technique |
Fully automatic multisegmentation approach for magnetic resonance imaging brain | tumor | detection using improved region-growing and quasi-Monte Carlo-expectation maximization algorithm |
Fully connected CRF with data-driven prior for multi-class brain | tumor | segmentation |
fuzzy logic-based meningioma | tumor | detection in magnetic resonance brain images using CANFIS and U-Net CNN classification, A |
Gamma Knife treatment planning: MR brain | tumor | segmentation and volume measurement based on unsupervised Fuzzy C-Means clustering |
GAN-segNet: A deep generative adversarial segmentation network for brain | tumor | semantic segmentation |
Generative Probabilistic Model and Discriminative Extensions for Brain Lesion Segmentation: With Application to | tumor | and Stroke, A |
Geometric techniques for 3D tracking of ultrasound sensor, | tumor | segmentation in ultrasound images, and 3D reconstruction |
Geometry-Aware Neural Solver for Fast Bayesian Calibration of Brain | tumor | Models |
Glioma brain | tumor | detection and segmentation using weighting random forest classifier with optimized ant colony features |
Glioma | tumor | detection in brain MRI image using ANFIS-based normalized graph cut approach |
Global and local anomaly detectors for | tumor | segmentation in dynamic PET acquisitions |
Global weighted average pooling network with multilevel feature fusion for weakly supervised brain | tumor | segmentation |
gradient-like variational Bayesian approach: Application to microwave imaging for breast | tumor | detection, A |
Graph cut segmentation technique for MRI brain | tumor | extraction |
Graph-based detection, segmentation and characterization of brain | tumor | s |
H-DenseUNet: Hybrid Densely Connected UNet for Liver and | tumor | Segmentation From CT Volumes |
Handheld Microwave Thermoacoustic Imaging System With an Impedance Matching Microwave-Sono Probe for Breast | tumor | Screening, A |
Haptically Assisting Breast | tumor | Detection by Augmenting Abnormal Lump |
Hierarchical Convolutional Neural Networks for Segmentation of Breast | tumor | s in MRI With Application to Radiogenomics |
HMDHBN: Hidden Markov Inducing a Dynamic Hierarchical Bayesian Network for | tumor | Growth Prediction |
Hybrid Feature-Based Diffeomorphic Registration for | tumor | Tracking in 2-D Liver Ultrasound Images |
Hybrid Framework for | tumor | Saliency Estimation, A |
Hybrid-NET: A fusion of DenseNet169 and advanced machine learning classifiers for enhanced brain | tumor | diagnosis |
Identification and extraction of brain | tumor | from MRI using local statistics of Zernike moments |
Identification of Malignant Breast | tumor | s Based on Acoustic Attenuation Mapping of Conventional Ultrasound Images |
Image Guided Personalization of Reaction-Diffusion Type | tumor | Growth Models Using Modified Anisotropic Eikonal Equations |
Image quality study of CT imaging examination in children with childhood | tumor | s under ultrasound-guided puncture |
Image registration-based brain | tumor | detection and segmentation using ANFIS classification approach |
improved algorithm For UWB based imaging of breast | tumor | s, An |
Improving 3D Brain | tumor | Segmentation With Predict-Refine Mechanism Using Saliency And Feature Maps |
Improving Brain | tumor | Segmentation with Dilated Pseudo-3d Convolution and Multi-direction Fusion |
In vivo correlation between semi-quantitative hemodynamic parameters and Ktrans derived from DCE-MRI of brain | tumor | s |
Inference With Collaborative Model for Interactive | tumor | Segmentation in Medical Image Sequences |
influence of the activation function in a capsule network for brain | tumor | type classification, The |
integrated design of particle swarm optimization (PSO) with fusion of features for detection of brain | tumor | , An |
integrated inverse space sparse representation framework for | tumor | classification, An |
Integrated segmentation of brain | tumor | images for radiotherapy and neurosurgery |
Integrated Spatio-Temporal Segmentation of Longitudinal Brain | tumor | Imaging Studies |
Integrating automatic and interactive brain | tumor | segmentation |
Integrating saliency with fuzzy thresholding for brain | tumor | extraction in MR images |
intelligent content-based image retrieval system for clinical decision support in brain | tumor | diagnosis, An |
interactive graph cut method for brain | tumor | segmentation, An |
interventional treatment plan system design on liver | tumor | , An |
Iterative brain | tumor | retrieval for MR images based on user's intention model |
Joint Freehand Ultrasound and Endoscopic Reconstruction of Brain | tumor | s |
Joint | tumor | Segmentation in PET-CT Images Using Co-Clustering and Fusion Based on Belief Functions |
Journey to the center of a | tumor | |
Kernel feature selection to fuse multi-spectral MRI images for brain | tumor | segmentation |
Kernelized Morphable Model for 3D Brain | tumor | Analysis, A |
L2-Normalized Spatial Attention Network for Accurate and Fast Classification of Brain | tumor | s in 2D T1-Weighted CE-MRI Images, An |
Label-Free Liver | tumor | Segmentation |
Ladder-Structured Decision Tree for Recognizing | tumor | s in Chest Radiographs, A |
Large-Scale Manifold Learning Approach for Brain | tumor | Progression Prediction, A |
Latent Correlation Representation Learning for Brain | tumor | Segmentation With Missing MRI Modalities |
Learning From Partially Labeled Data for Multi-Organ and | tumor | Segmentation |
Learning From Synthetic CT Images via Test-Time Training for Liver | tumor | Segmentation |
Learning Unified Hyper-Network for Multi-Modal MR Image Synthesis and | tumor | Segmentation With Missing Modalities |
Level-set evolution with region competition: Automatic 3-D segmentation of brain | tumor | s |
Level-Set Segmentation of Brain | tumor | s Using a New Hybrid Speed Function |
Level-set segmentation of brain | tumor | s using a threshold-based speed function |
Liver | tumor | detection in CT images by adaptive contrast enhancement and the EM/MPM algorithm |
Liver | tumor | Detection Via A Multi-Scale Intermediate Multi-Modal Fusion Network on MRI Images |
Liver | tumor | segmentation from computed tomography images using multiscale residual dilated encoder-decoder network |
Liver | tumor | segmentation using a new asymmetrical dilated convolutional semantic segmentation network in CT images |
Local Structure Prediction with Convolutional Neural Networks for Multimodal Brain | tumor | Segmentation |
Lung and Pancreatic | tumor | Characterization in the Deep Learning Era: Novel Supervised and Unsupervised Learning Approaches |
Lung | tumor | delineation in PET-CT images using a downhill region growing and a Gaussian mixture model |
Lung | tumor | Segmentation Using Electric Flow Lines for Graph Cuts |
Machine Learning Approach for Locating Boundaries of Liver | tumor | s in CT Images, A |
machine learning classification approach based glioma brain | tumor | detection, A |
MAEU-NET: A novel supervised architecture for brain | tumor | segmentation |
Malignant Brain | tumor | Classification Using the Random Forest Method |
Mammary Gland | tumor | Detection in Cats Using Ant Colony Optimisation |
MDF-Net: A Multi-Scale Dynamic Fusion Network for Breast | tumor | Segmentation of Ultrasound Images |
ME-Net: Multi-encoder net framework for brain | tumor | segmentation |
Measures of Acutance and Shape for Classification of Breast- | tumor | s |
Merged U-Net for Bone | tumor | s X-Ray Images Segmentation |
Method and apparatus for diagnosis of breast | tumor | s |
method for detecting and classifying the | tumor | regions in brain MRI images using vector index filtering and ANFIS classification process, A |
Method for early diagnostics of lymphatic system | tumor | s on the basis of the analysis of chromatin constitution in cell nucleus images |
Microwave Imaging of Breast | tumor | Using Time-Domain UWB Circular-SAR Technique |
Missing Data Imputation via Conditional Generator and Correlation Learning for Multimodal Brain | tumor | Segmentation |
mix-pooling CNN architecture with FCRF for brain | tumor | segmentation, A |
Model-based brain and | tumor | segmentation |
Modeling Clinical | tumor | s to Create Reference Data for Tumor Volume Measurement |
Modeling Clinical | tumor | s to Create Reference Data for Tumor Volume Measurement |
Modified transform-based gamma correction for MRI | tumor | image denoising and segmentation by optimized histon-based elephant herding algorithm |
Modified U-Net (mU-Net) With Incorporation of Object-Dependent High Level Features for Improved Liver and Liver- | tumor | Segmentation in CT Images |
Monitoring of | tumor | Response to Au Nanorod-Indocyanine Green Conjugates Mediated Therapy With Fluorescence Imaging and Positron Emission Tomography |
MRI Based Bayesian Personalization of a | tumor | Growth Model |
MRI brain image segmentation for spotting | tumor | s using improved mountain clustering approach |
Multi-Atlas Segmentation of MR | tumor | Brain Images Using Low-Rank Based Image Recovery |
Multi-classification of brain | tumor | by using deep convolutional neural network model in magnetic resonance imaging images |
Multi-Dimensional | tumor | Detection in Automated Whole Breast Ultrasound Using Topographic Watershed |
Multi-Feature Guided Brain | tumor | Segmentation Based on Magnetic Resonance Images |
Multi-Grid Phase Field Skin | tumor | Segmentation in 3D Ultrasound Images |
Multi-kernel SVM based classification for brain | tumor | segmentation of MRI multi-sequence |
Multi-modal brain | tumor | image segmentation based on SDAE |
Multi-modal Brain | tumor | Segmentation Using Cascaded 3D U-Net |
Multi-modal brain | tumor | segmentation via disentangled representation learning and region-aware contrastive learning |
Multi-Modal | tumor | Segmentation With Deformable Aggregation and Uncertain Region Inpainting |
Multi-Scale 3D U-Nets: An approach to automatic segmentation of brain | tumor | |
Multi-Scale Modeling and Oxygen Impact on | tumor | Temporal Evolution: Application on Rectal Cancer During Radiotherapy |
Multi-Stream Scale-Insensitive Convolutional and Recurrent Neural Networks for Liver | tumor | Detection in Dynamic Ct Images |
Multi-task Contextual Atrous Residual Network for Brain | tumor | Detection Segmentation, A |
Multi-Task Convolutional Neural Network for Renal | tumor | Segmentation and Classification Using Multi-Phasic CT Images, A |
Multichannel Markov Random Field Framework for | tumor | Segmentation With an Application to Classification of Gene Expression-Based Breast Cancer Recurrence Risk, A |
Multiclassifier for severity-level categorization of glioma | tumor | s using multimodal magnetic resonance imaging brain images |
Multiencoder-based federated intelligent deep learning model for brain | tumor | segmentation |
Multimodal brain | tumor | detection and classification using deep saliency map and improved dragonfly optimization algorithm |
Multimodal Brain | tumor | Image Segmentation Benchmark (BRATS), The |
Multimodal Brain | tumor | Segmentation Boosted by Monomodal Normal Brain Images |
Multimodal Brain | tumor | Segmentation Using Encoder-decoder with Hierarchical Separable Convolution |
Multiple Relaxation Time Lattice Boltzmann Models for Multigrid Phase-Field Segmentation of | tumor | s in 3D Ultrasound Images |
Multiple Resolution Residually Connected Feature Streams for Automatic Lung | tumor | Segmentation From CT Images |
Multiple-domain knowledge based MRF model for | tumor | segmentation in breast ultrasound images |
Multiscale Model of Liver DCE-MRI Towards a Better Understanding of | tumor | Complexity |
Multiscale Nakagami parametric imaging for improved liver | tumor | localization |
Multiscale superpixel classification for | tumor | segmentation in breast ultrasound images |
Multistage Discriminative Model for | tumor | and Lymph Node Detection in Thoracic Images, A |
new active contour model for | tumor | segmentation, A |
New Post-processing Method to Detect Brain | tumor | Using Rough-Fuzzy Clustering, A |
NeXt for neuro-radiosurgery: A fully automatic approach for necrosis extraction in brain | tumor | MRI using an unsupervised machine learning technique |
non-invasive and adaptive CAD system to detect brain | tumor | from T2-weighted MRIs using customized Otsu's thresholding with prominent features and supervised learning, A |
Non-Parametric Bayesian Registration (NParBR) of Body | tumor | s in DCE-MRI Data |
Non-parametric bootstrap ensembles for detection of | tumor | lesions |
Noninvasive estimation of the aorta input function for measurement of | tumor | blood flow with O15 water |
noninvasive, multimodality approach based on MRS and MRI techniques for monitoring intracranial brain | tumor | angiogenesis, A |
Nonlinear elastic registration of brain images with | tumor | pathology using a biomechanical model [MRI] |
novel approach for MR brain | tumor | classification and detection using optimal CNN-SVM model, A |
novel convolutional neural network-based approach for brain | tumor | classification using magnetic resonance images, A |
novel marker-less | tumor | tracking strategyonlow-rank fluoroscopic images for image-guided lung cancer radiotherapy, A |
novel prognosis and segmentation of necrosis (dead cells) in contrast enhanced T1-weighted glioblastoma | tumor | with automatic contextual clustering, A |
Novel Wavelet Based Image Fusion for Brain | tumor | Detection, A |
NPCNet: Jointly Segment Primary Nasopharyngeal Carcinoma | tumor | s and Metastatic Lymph Nodes in MR Images |
Nuclear morphometry of neoplastic cells as a method for diagnosis of histiocytoma, mastocytoma and transmissible venereal | tumor | in dogs |
One-Pass Multi-Task Networks With Cross-Task Guided Attention for Brain | tumor | Segmentation |
Optical Biopsy of Melanoma and Basal Cell Carcinoma Progression by Noncontact Photoacoustic and Optical Coherence Tomography: In Vivo Multi-Parametric Characterizing | tumor | Microenvironment |
Optical Signatures of Small, Deeply Embedded, | tumor | -like Inclusions in Tissue-like Turbid Media Based on a Random-walk Theory of Photon Migration |
Optimal Co-Segmentation of | tumor | in PET-CT Images With Context Information |
Optimized contrast enhancement for | tumor | detection |
Optimized segmentation and classification for liver | tumor | segmentation and classification using opposition-based spotted hyena optimization |
ORBIT: A Multiresolution Framework for Deformable Registration of Brain | tumor | Images |
Pancreatic | tumor | Growth Prediction With Elastic-Growth Decomposition, Image-Derived Motion, and FDM-FEM Coupling |
Parallel Adaptive Physics-Based Non-rigid Registration Framework for Brain | tumor | Resection, A |
Parasitic GAN for Semi-Supervised Brain | tumor | Segmentation |
Pathtr: Context-aware Memory Transformer for | tumor | Localization in Gigapixel Pathology Images |
Patient-by-Patient Deep Transfer Learning for Drug-Response Profiling Using Confocal Fluorescence Microscopy of Pediatric Patient-Derived | tumor | -Cell Spheroids |
Pattern classification in DNA microarray data of multiple | tumor | types |
Performance Analysis and Critical Review on Segmentation Techniques for Brain | tumor | Classification |
Performance analysis of brain tissues and | tumor | detection and grading system using ANFIS classifier |
Performance analysis of computer aided brain | tumor | detection system using ANFIS classifier |
Performance analysis of meningioma brain | tumor | classifications based on gradient boosting classifier |
Performance enhancement of respiratory | tumor | motion prediction using adaptive support vector regression: Comparison with adaptive neural network method |
Personalized Radiotherapy Design for Glioblastoma: Integrating Mathematical | tumor | Models, Multimodal Scans, and Bayesian Inference |
Personalized Radiotherapy Planning Based on a Computational | tumor | Growth Model |
PET Counting Response Variability Depending on | tumor | Location, Activity, and Patient Obesity: A Feasibility Study of Solitary Pulmonary Nodule Using Monte Carlo |
PET-Guided Attention Network for Segmentation of Lung | tumor | s from PET/CT Images |
Pharmacokinetic Perfusion Curves Estimation for Liver | tumor | Diagnosis from DCE-MRI |
PORTR: Pre-Operative and Post-Recurrence Brain | tumor | Registration |
Poultry Skin | tumor | Detection in Hyperspectral Reflectance Images by Combining Classifiers |
Preclinical Imaging Using Single Track Location Shear Wave Elastography: Monitoring the Progression of Murine Pancreatic | tumor | Liver Metastasis In Vivo |
Prediction of Brain | tumor | Recurrence Location Based on Kullback-Leibler Divergence and Nonlinear Correlation Learning |
Prediction of Lung | tumor | Evolution During Radiotherapy in Individual Patients With PET |
Preoperative planning for jugular-foramen | tumor | s: Preparation of a three-dimensional surgical drawing |
Preserving | tumor | Volumes for Unsupervised Medical Image Registration |
Privacy preserved collaborative transfer learning model with heterogeneous distributed data for brain | tumor | classification |
processing and recognition of X-rays of spine | tumor | , The |
professional estimate on the computed tomography brain | tumor | images using SVM-SMO for classification and MRG-GWO for segmentation, A |
Pure Versus Hybrid Transformers For Multi-Modal Brain | tumor | Segmentation: A Comparative Study |
Quantification of shrinkage of lung lobe from chest ct images using the 3d extended voronoi division and its application to the benign/malignant discrimination of | tumor | shadows |
Radiomic Deformation and Textural Heterogeneity (R-DepTH) Descriptor to Characterize | tumor | Field Effect: Application to Survival Prediction in Glioblastoma |
Random Walk and Graph Cut for Co-Segmentation of Lung | tumor | on PET-CT Images |
rapid automatic brain | tumor | detection method for MRI images using modified minimum error thresholding technique, A |
Real-Time GPU-Aided Lung | tumor | Tracking |
Realistic Simulation of the 3-D Growth of Brain | tumor | s in MR Images Coupling Diffusion With Biomechanical Deformation |
Renal | tumor | quantification and classification in contrast-enhanced abdominal CT |
Rendering of brain | tumor | s using endoneurosonography |
Research on the magnetic resonance imaging brain | tumor | segmentation algorithm based on DO-UNet |
Residual Swin Transformer Unet with Consistency Regularization for Automatic Breast Ultrasound | tumor | Segmentation |
Response to Letter Regarding Article: Developing DCE-CT to Quantify Intra- | tumor | Heterogeneity in Breast Tumors With Differing Angiogenic Phenotype |
Response to Letter Regarding Article: Developing DCE-CT to Quantify Intra- | tumor | Heterogeneity in Breast Tumors With Differing Angiogenic Phenotype |
Retraction: Optimal brain | tumor | diagnosis based on deep learning and balanced sparrow search algorithm |
RFNet: Region-aware Fusion Network for Incomplete Multi-modal Brain | tumor | Segmentation |
Robust Cell Detection of Histopathological Brain | tumor | Images Using Sparse Reconstruction and Adaptive Dictionary Selection |
Robust Texture Analysis Using Multi-Resolution Gray-Scale Invariant Features for Breast Sonographic | tumor | Diagnosis |
RRc-UNet 3D for lung | tumor | segmentation from CT scans of Non-Small Cell Lung Cancer patients |
Rule-based method for | tumor | recognition in liver ultrasonic images |
SA-LuT-Nets: Learning Sample-Adaptive Intensity Lookup Tables for Brain | tumor | Segmentation |
saliency model for automated | tumor | detection in breast ultrasound images, A |
Scale Selection for Anisotropic Scale-Space: Application to Volumetric | tumor | Characterization |
Scratch Each Other's Back: Incomplete Multi-modal Brain | tumor | Segmentation Via Category Aware Group Self-Support Learning |
Segmentation and Classification-Based Diagnosis of | tumor | s From Breast Ultrasound Images Using Multibranch Unet |
Segmentation for Classification of Screening Pancreatic Neuroendocrine | tumor | s |
Segmentation information with attention integration for classification of breast | tumor | in ultrasound image |
Segmentation of Bone | tumor | in MR Perfusion Images Using Neural Networks and Multiscale Pharmacokinetic Features |
Segmentation of brain | tumor | subregions with depthwise separable dense U-NET (DSDU-NET) |
Segmentation of Brain | tumor | s in CT Images Using Level Sets |
Segmentation of Brain | tumor | s in Multi-parametric MR Images via Robust Statistic Information Propagation |
Segmentation of glioma | tumor | s using convolutional neural networks |
Segmentation of liver | tumor | via nonlocal active contours |
Segmentation of Lung | tumor | in Cone Beam CT Images Based on Level-Sets |
Segmentation of medical images for the extraction of brain | tumor | s: A comparative study between the Hidden Markov and Deep Learning approaches |
Segmentation of multi-modality MR images by means of evidence theory for 3d reconstruction of brain | tumor | s |
Segmentation of osteosarcoma | tumor | using diffusion weighted MRI: A comparative study using nine segmentation algorithms |
Segmentation of Skull Base | tumor | s from MRI Using a Hybrid Support Vector Machine-Based Method |
Segmentation of | tumor | using PCA based modified fuzzy C means algorithms on MR brain images |
Segmentation-based Assessment of | tumor | -Vessel Involvement for Surgical Resectability Prediction of Pancreatic Ductal Adenocarcinoma |
Segmenting Brain | tumor | s with Conditional Random Fields and Support Vector Machines |
Self-learning | tumor | Segmentation Method on DCE-MRI Images, A |
Semi-automatic Liver | tumor | Segmentation in Dynamic Contrast-Enhanced CT Scans Using Random Forests and Supervoxels |
Semi-supervised Attentive Mutual-info Generative Adversarial Network for Brain | tumor | Segmentation |
Semi-Supervised Learning for ABUS | tumor | Detection Using Deep Learning Methodxo |
Semi-supervised | tumor | Detection in Magnetic Resonance Spectroscopic Images Using Discriminative Random Fields |
SF-Net: A Multi-Task Model for Brain | tumor | Segmentation in Multimodal MRI via Image Fusion |
Shape and Intensity Analysis of Glioblastoma Multiforme | tumor | s |
Simultaneous Nonrigid Registration, Segmentation, and | tumor | Detection in MRI Guided Cervical Cancer Radiation Therapy |
Simultaneous | tumor | segmentation, image restoration, and blur kernel estimation in PET using multiple regularizations |
Size and Texture-Based Classification of Lung | tumor | s with 3D CNNs |
Source Localization of Reaction-Diffusion Models for Brain | tumor | s |
Sparse Representation-Based Radiomics for the Diagnosis of Brain | tumor | s |
Spatial Statistics for | tumor | Cell Counting and Classification |
Spatio-Temporal Convolutional LSTMs for | tumor | Growth Prediction by Learning 4D Longitudinal Patient Data |
Spherical Harmonics Microwave Algorithm for Shape and Location Reconstruction of Breast Cancer | tumor | |
Stability effects of finite difference methods on a mathematical | tumor | growth model |
Stability evaluation of a classifier for detecting abdominal | tumor | s in FDG-PET/CT images |
Stacked Predictive Sparse Coding for Classification of Distinct Regions in | tumor | Histopathology |
Statistical Approach for Estimating Brain | tumor | -Induced Deformation, A |
Study on Effective Segmentation Network in MRI Images for Diagnosis of Brain | tumor | , A |
Study with RK4 ANOVA the location of the | tumor | at the smallest time for multi-images |
Superpixel with nanoscale imaging and boosted deep convolutional neural network concept for lung | tumor | classification |
Survey on brain | tumor | segmentation and feature extraction of MR images |
Survival Analysis based on Lung | tumor | Segmentation using Global Context-aware Transformer in Multimodality |
Synergistic Digital Twin and Holographic Augmented-Reality-Guided Percutaneous Puncture of Respiratory Liver | tumor | |
Synplex: In Silico Modeling of the | tumor | Microenvironment From Multiplex Images |
Synthetic medical image generator for data augmentation and anonymisation based on generative adversarial network for glioblastoma | tumor | s growth prediction |
System for Colorectal | tumor | Classification in Magnifying Endoscopic NBI Images, A |
Systematic study and design of multimodal MRI image augmentation for brain | tumor | detection with loss aware exchange and residual networks |
TensorMixup Data Augmentation Method for Fully Automatic Brain | tumor | Segmentation |
Texture and statistical analysis of mammograms: A novel method to detect | tumor | in Breast Cells |
Texture-Oriented Anisotropic Filtering and Geodesic Active Contours in Breast | tumor | Ultrasound Segmentation |
Thermal effect analysis of brain | tumor | on simulated T1-weighted MRI images |
Three-dimensional affinity learning based multi-branch ensemble network for breast | tumor | segmentation in MRI |
Threshold-based 3D | tumor | Segmentation using Level Set (TSL) |
Tissue-Specific Compartmental Analysis for Dynamic Contrast-Enhanced MR Imaging of Complex | tumor | s |
Topological Analysis of Amplicon Structure in Comparative Genomic Hybridization (CGH) Data: An Application to ERBB2/HER2/NEU Amplified | tumor | s |
Topological features in addition to radiomics signature predict 1P19Q status and | tumor | grade in low-grade gliomas |
Toward More Precise Radiotherapy Treatment of Lung | tumor | s |
Toward Precise Osteotomies: A Coarse-to-Fine 3D Cut Plane Planning Method for Image-Guided Pelvis | tumor | Resection Surgery |
Towards Interactive Breast | tumor | Classification Using Transfer Learning |
TPUAR-Net: Two Parallel U-Net with Asymmetric Residual-Based Deep Convolutional Neural Network for Brain | tumor | Segmentation |
Tracking kidney | tumor | dimensional measurements via image morphing |
Transfer learning networks with skip connections for classification of brain | tumor | s |
Triple novelty block detection and classification approach for lung | tumor | analysis |
Triple-attention interaction network for breast | tumor | classification based on multi-modality images |
| tumor | Burden Analysis on Computed Tomography by Automated Liver and Tumor Segmentation |
| tumor | Burden Analysis on Computed Tomography by Automated Liver and Tumor Segmentation |
| tumor | Cell Load and Heterogeneity Estimation From Diffusion-Weighted MRI Calibrated With Histological Data: an Example From Lung Cancer |
| tumor | Classification by Deep Polynomial Network and Multiple Kernel Learning on Small Ultrasound Image Dataset |
| tumor | Classification Using Eigengene-Based Classifier Committee Learning Algorithm |
| tumor | Detection in Automated Breast Ultrasound Using 3-D CNN and Prioritized Candidate Aggregation |
| tumor | Detection in Digital Mammograms |
| tumor | detection in T1, T2, FLAIR and MPR brain images using a combination of optimization and fuzzy clustering improved by seed-based region growing algorithm |
| tumor | detection on brain MR images using regional features: Method and preliminary results |
| tumor | Growth Estimation via Registration of DCE-MRI Derived Tumor Specific Descriptors |
| tumor | Growth Estimation via Registration of DCE-MRI Derived Tumor Specific Descriptors |
| tumor | growth parameters estimation and source localization from a unique time point: Application to low-grade gliomas |
| tumor | Lesion Segmentation from 3D PET Using a Machine Learning Driven Active Surface |
| tumor | segmentation by fusion of MRI images using copula based statistical methods |
| tumor | segmentation in brain MRI using a fuzzy approach with class center priors |
| tumor | -Cut: Segmentation of Brain Tumors on Contrast Enhanced MR Images for Radiosurgery Applications |
| tumor | -Cut: Segmentation of Brain Tumors on Contrast Enhanced MR Images for Radiosurgery Applications |
| tumor | -Induced Structural and Radiometric Asymmetry in Brain Images |
Two Automatic Color Segmentation Algorithms Applied to Six Skin | tumor | Features |
U-Net Model-Based Classification and Description of Brain | tumor | in MRI Images |
Ultrashort Microwave-Pumped Real-Time Thermoacoustic Breast | tumor | Imaging System |
Uncertainty-Driven Efficiently-Sampled Sparse Graphical Models for Concurrent | tumor | Segmentation and Atlas Registration |
Understanding | tumor | Micro Environment Using Graph Theory |
Unsupervised Segmentation for Automatic Detection of Brain | tumor | s in MRI |
Visualizing the | tumor | Microvasculature With a Nonlinear Plane-Wave Doppler Imaging Scheme Based on Amplitude Modulation |
ViT-AMC Network With Adaptive Model Fusion and Multiobjective Optimization for Interpretable Laryngeal | tumor | Grading From Histopathological Images, A |
Weakly Supervised Liver | tumor | Segmentation Using Couinaud Segment Annotation |
Wearable Microwave Antenna Array for Time-Domain Breast | tumor | Screening, A |
What is the Best Data Augmentation for 3D Brain | tumor | Segmentation? |
519 for tumor