Index for tumor

_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 tumors
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 tumors 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 tumors 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 tumors 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 tumors from CT images using a single click ensemble segmentation approach
Automated Detection of Breast tumors in Ultrasonic Images Using Fuzzy Reasoning
Automated detection of glioblastoma tumor in brain magnetic imaging using ANFIS classifier
Automated Localization of Brain tumors 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 tumors 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 tumors 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 tumors on mammogram
Automatic detection of necrosis, normoxia and hypoxia in tumors 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 tumors 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 tumors 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 tumors, 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 tumors 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 tumors 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 tumors 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 tumors 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 tumors using monostatic radar-based microwave imaging technique
Detecting brain tumors using deep learning convolutional neural network with transfer learning approach
Detecting the Edges of Lung tumors by Classification Techniques
Detection and diagnosis of brain tumors using deep learning convolutional neural networks
Detection and diagnosis of brain tumors-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 tumors 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 tumors
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 tumors 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 tumors 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 tumors
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 tumors from Brain MRI Images
Estimation of interlayer textural relationships to discriminate the benignancy/malignancy of brain tumors
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 tumors 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 tumors 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 tumors
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 tumors 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 tumors 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 tumors under ultrasound-guided puncture
Image registration-based brain tumor detection and segmentation using ANFIS classification approach
improved algorithm For UWB based imaging of breast tumors, 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 tumors
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 tumors
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 tumors in 2D T1-Weighted CE-MRI Images, An
Label-Free Liver tumor Segmentation
Ladder-Structured Decision Tree for Recognizing tumors 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 tumors
Level-Set Segmentation of Brain tumors Using a New Hybrid Speed Function
Level-set segmentation of brain tumors 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 tumors 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-tumors
Merged U-Net for Bone tumors X-Ray Images Segmentation
Method and apparatus for diagnosis of breast tumors
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 tumors 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 tumors to Create Reference Data for Tumor Volume Measurement
Modeling Clinical tumors 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 tumors 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 tumors 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 tumors 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 tumors 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 tumors 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 tumors 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 tumors: 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 tumors in MR Images Coupling Diffusion With Biomechanical Deformation
Renal tumor quantification and classification in contrast-enhanced abdominal CT
Rendering of brain tumors 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 tumors From Breast Ultrasound Images Using Multibranch Unet
Segmentation for Classification of Screening Pancreatic Neuroendocrine tumors
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 tumors in CT Images Using Level Sets
Segmentation of Brain tumors in Multi-parametric MR Images via Robust Statistic Information Propagation
Segmentation of glioma tumors 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 tumors: 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 tumors
Segmentation of osteosarcoma tumor using diffusion weighted MRI: A comparative study using nine segmentation algorithms
Segmentation of Skull Base tumors 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 tumors 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 tumors
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 tumors with 3D CNNs
Source Localization of Reaction-Diffusion Models for Brain tumors
Sparse Representation-Based Radiomics for the Diagnosis of Brain tumors
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 tumors 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 tumors 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 tumors
Topological Analysis of Amplicon Structure in Comparative Genomic Hybridization (CGH) Data: An Application to ERBB2/HER2/NEU Amplified tumors
Topological features in addition to radiomics signature predict 1P19Q status and tumor grade in low-grade gliomas
Toward More Precise Radiotherapy Treatment of Lung tumors
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 tumors
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 tumors 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

_tumoral_
Differentiation of tumoral and non-tumoral breast lesions using back reflection diffuse optical tomography: A pilot clinical study
Differentiation of tumoral and non-tumoral breast lesions using back reflection diffuse optical tomography: A pilot clinical study
Segmentation of Axillary and Supraclavicular tumoral Lymph Nodes in PET/CT: A Hybrid CNN/Component-Tree Approach

_tumorous_
Classification of Non-tumorous Facial Pigmentation Disorders Using Improved Smote and Transfer Learning
Discriminative Method For Semi-Automated tumorous Tissues Segmentation of MR Brain Images, A

Index for "t"


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