| _ | lesion | _ |
|---|
| 1.7-Micron Optical Coherence Tomography Angiography for Characterization of Skin | lesion | s: A Feasibility Study |
| 3-D Volume Reconstruction of Skin | lesion | s for Melanin and Blood Volume Estimation and Lesion Severity Analysis |
| 3-D Volume Reconstruction of Skin | lesion | s for Melanin and Blood Volume Estimation and Lesion Severity Analysis |
| 3D Cross-Hemisphere Neighborhood Difference Convnet for Chronic Stroke | lesion | Segmentation, A |
| 3D Lacunarity in Multifractal Analysis of Breast Tumor | lesion | s in Dynamic Contrast-Enhanced Magnetic Resonance Imaging |
| 3TP-CNN: Radiomics and Deep Learning for | lesion | s Classification in DCE-MRI |
| AAU-Net: An Adaptive Attention U-Net for Breast | lesion | s Segmentation in Ultrasound Images |
| adaptive feature extraction model for classification of thyroid | lesion | s in ultrasound images, An |
| Adaptive Imaging for | lesion | Detection Using a Zoom-in PET System |
| Adaptive Semi-automated Integrated System for Multiple Sclerosis | lesion | Segmentation in Longitudinal MRI Scans Based on a Convolutional Neural Network, An |
| ADC estimation of | lesion | s in diffusion-weighted MR images: A Maximum-Likelihood Approach |
| ALA-Net: Adaptive | lesion | -Aware Attention Network for 3D Colorectal Tumor Segmentation |
| AM-FM texture image analysis in brain white matter | lesion | s in the progression of Multiple Sclerosis |
| Analysis of | lesion | Detectability in Bayesian Emission Reconstruction With Nonstationary Object Variability |
| Analysis of Pigmented Skin | lesion | Border Irregularity Using the Harmonic Wavelet Transform |
| Analysis of Skin | lesion | s with Pigmented Networks |
| Analysis of the contour structural irregularity of skin | lesion | s using wavelet decomposition |
| Analysis of the spatial arrangement of cells in the proliferative breast | lesion | s |
| Anatomical region segmentation method from dermoscopic images of pigmented skin | lesion | s |
| Application of robust sequential edge detection and linking to boundaries of low contrast | lesion | s in medical images |
| Are Robotic-Assisted Catheter Ablation | lesion | s Different from Standard Catheter Ablation in Paroxysmal AF Patients? Novel CMRI Findings Made Possible with Semi-automatic 3-D Visualisation |
| Artifact-based Domain Generalization of Skin | lesion | Models |
| Assessing the Generalizability of Deep Neural Networks-based Models for Black Skin | lesion | s |
| Assessment of Crohn's disease | lesion | s in Wireless Capsule Endoscopy images using SVM based classification |
| Atlas-Based Segmentation of Pathological MR Brain Images Using a Model of | lesion | Growth |
| Attention Residual Learning for Skin | lesion | Classification |
| Attention to | lesion | : Lesion-Aware Convolutional Neural Network for Retinal Optical Coherence Tomography Image Classification |
| Attention to | lesion | : Lesion-Aware Convolutional Neural Network for Retinal Optical Coherence Tomography Image Classification |
| Attributes based skin | lesion | detection and recognition: A mask RCNN and transfer learning-based deep learning framework |
| Automated and Interactive | lesion | Detection and Segmentation in Uterine Cervix Images |
| Automated Characterization of Breast | lesion | s Imaged With an Ultrafast DCE-MR Protocol |
| Automated diabetic retinopathy grading and | lesion | detection based on the modified R-FCN object-detection algorithm |
| Automated | lesion | border detection of dermoscopy images using spectral clustering |
| Automated | lesion | data base building for the treatment of retinal disorders |
| Automated | lesion | detection methods for 2D and 3D chest X-ray images |
| Automated | lesion | segmentation in fundus images with many-to-many reassembly of features |
| Automated segmentation of multiple sclerosis | lesion | in intensity enhanced flair MRI using texture features and support vector machine |
| Automated segmentation of multiple sclerosis | lesion | s by model outlier detection |
| Automated skin | lesion | segmentation of dermoscopic images using GrabCut and k-means algorithms |
| Automated Skin | lesion | Segmentation Via an Adaptive Dual Attention Module |
| Automated System for the Detection and Diagnosis of Kidney | lesion | s in Children from Scintigraphy Images, An |
| Automatic boundary detection and symmetry calculation in dermoscopy images of skin | lesion | s |
| Automatic classification of skin | lesion | s using geometrical measurements of adaptive neighborhoods and local binary patterns |
| Automatic Detection and Segmentation of Focal Liver | lesion | s in Contrast Enhanced CT Images |
| Automatic Detection of Gadolinium-Enhancing Multiple Sclerosis | lesion | s in Brain MRI Using Conditional Random Fields |
| Automatic detection of liver | lesion | from 3D computed tomography images |
| Automatic detection of multiple sclerosis | lesion | s using Mask R-CNN on magnetic resonance scans |
| Automatic Detection of Red | lesion | s in Digital Color Fundus Photographs |
| Automatic detection of small spherical | lesion | s using multiscale approach in 3D medical images |
| Automatic fine-grained glomerular | lesion | recognition in kidney pathology |
| Automatic | lesion | Detection in Breast DCE-MRI |
| Automatic | lesion | detection in wireless capsule endoscopy: A simple solution for a complex problem |
| Automatic | lesion | s Segmentation in Ultrasound Nonlinear Imaging |
| Automatic liver and | lesion | segmentation: A primary step in diagnosis of liver diseases |
| Automatic method for white matter | lesion | segmentation based on T1-fluid-attenuated inversion recovery images |
| Automatic Registration of Images of Pigmented Skin | lesion | s |
| Automatic Segmentation of Skin | lesion | Images using Evolutionary Strategy |
| Automatic Skin | lesion | Segmentation Based on Texture Analysis and Supervised Learning |
| Automatic Skin | lesion | Segmentation Using Deep Fully Convolutional Networks With Jaccard Distance |
| autoSMIM: Automatic Superpixel-Based Masked Image Modeling for Skin | lesion | Segmentation |
| Background Masked Guided Network for Skin | lesion | Segmentation in Dermoscopy Image |
| Bag of temporal co-occurrence words for retrieval of focal liver | lesion | s using 3D multiphase contrast-enhanced CT images |
| Bayesian Model Selection for Pathological Neuroimaging Data Applied to White Matter | lesion | Segmentation |
| Bayesian MS | lesion | Classification Modeling Regional and Local Spatial Information |
| Bayesian Saliency Model for Focal Liver | lesion | Enhancement and Detection |
| Benchmark Dataset for Segmenting Liver, Vasculature and | lesion | s from Large-scale Computed Tomography Data, A |
| Bi-Directional Dermoscopic Feature Learning and Multi-Scale Consistent Decision Fusion for Skin | lesion | Segmentation |
| Bio-Inspired Feed-Forward System for Skin | lesion | Analysis, Screening and Follow-Up |
| Blotch Detection in Pigmented Skin | lesion | s Using Fuzzy Co-clustering and Texture Segmentation |
| Blue Whitish Veil, Atypical Vascular Pattern and Regression Structures Detection in Skin | lesion | s Images |
| Bottleneck Transformer model with Channel Self-Attention for skin | lesion | classification |
| Brain | lesion | Detection in 3D PET Images Using Max-Trees and a New Spatial Context Criterion |
| brain | lesion | segmentation |
| Brain | lesion | Segmentation through Physical Model Estimation |
| Breast | lesion | classification using features fusion and selection of ensemble ResNet method |
| CAGAN: Classifier-augmented generative adversarial networks for weakly-supervised COVID-19 lung | lesion | localisation |
| Can self-training identify suspicious ugly duckling | lesion | s? |
| Cascade Learning Method for Liver | lesion | Detection in CT Images, A |
| Case-based decision strategy using outlier probability in detection of microcalcifications in mammographic | lesion | s |
| CCF-Net: Composite Context Fusion Network with Inter-Slice Correlative Fusion for Multi-Disease | lesion | Detection |
| Cervical Histopathology Dataset for Computer Aided Diagnosis of Precancerous | lesion | s, A |
| Cervicographic image retrieval by spatial similarity of | lesion | s |
| Characterization of Primary and Secondary Malignant Liver | lesion | s from B-Mode Ultrasound |
| Characterization of Spiculation on Ultrasound | lesion | s |
| Check and Link: Pairwise | lesion | Correspondence Guides Mammogram Mass Detection |
| CI-Net: Clinical-Inspired Network for Automated Skin | lesion | Recognition |
| Circle: Color Invariant Representation Learning for Unbiased Classification of Skin | lesion | s |
| Classification of Dynamic Contrast-Enhanced Magnetic Resonance Breast | lesion | s by Support Vector Machines |
| Classification of Gait Anomaly due to | lesion | Using Full-Body Gait Motions |
| Classification of hepatic | lesion | s using the matching metric |
| Classification of malignant melanoma and benign skin | lesion | s: implementation of automatic ABCD rule |
| Classification of Melanoma | lesion | s Using Wavelet-Based Texture Analysis |
| Classification of Skin | lesion | s by Combining Multilevel Learnings in a DenseNet Architecture |
| Classification of skin | lesion | s with generative adversarial networks and improved MobileNetV2 |
| Classification of small | lesion | s in dynamic breast MRI: eliminating the need for precise lesion segmentation through spatio-temporal analysis of contrast enhancement |
| Classification of small | lesion | s in dynamic breast MRI: eliminating the need for precise lesion segmentation through spatio-temporal analysis of contrast enhancement |
| Classifying Small | lesion | s on Breast MRI through Dynamic Enhancement Pattern Characterization |
| Clinical Skin | lesion | Diagnosis Using Representations Inspired by Dermatologist Criteria |
| clustering algorithm for liver | lesion | segmentation of diffusion-weighted MR images, A |
| Co-heterogeneous and Adaptive Segmentation from Multi-source and Multi-phase CT Imaging Data: A Study on Pathological Liver and | lesion | Segmentation |
| Coherent Concept-based Explanations in Medical Image and Its Application to Skin | lesion | Diagnosis |
| COLI-Net: Deep learning-assisted fully automated COVID-19 lung and infection pneumonia | lesion | detection and segmentation from chest computed tomography images |
| Combine unlabeled with labeled MR images to measure acute ischemic stroke | lesion | by stepwise learning |
| Combining deep learning and hand-crafted features for skin | lesion | classification |
| Combining low-, high-level and empirical domain knowledge for automated segmentation of ultrasonic breast | lesion | s |
| Comments on A New Algorithm for Border Description of Polarized Light Surface Microscopic Images of Pigmented Skin | lesion | s |
| Compact Deep Ensemble for High Quality Skin | lesion | Classification, A |
| Comparative Characterisation of Susceptibility Weighted MRI for Brain White Matter | lesion | s in MS |
| comparative study of computer-aided classification systems for focal hepatic | lesion | s from B-mode ultrasound, A |
| comparative study on deep feature selection methods for skin | lesion | classification, A |
| Computer Aided Diagnosis System to Detect Breast Cancer Pathological | lesion | s |
| Computer Aided Evaluation (CAE) of Morphologic Changes in Pigmented Skin | lesion | s |
| Computer Aided Skin | lesion | Diagnosis with Humans in the Loop |
| Computer-Aided Classification of Gastrointestinal | lesion | s in Regular Colonoscopy |
| Computer-Aided Diagnosis of Focal Liver | lesion | s Using Contrast-Enhanced Ultrasonography With Perflubutane Microbubbles |
| Computer-Aided | lesion | Diagnosis in Automated 3-D Breast Ultrasound Using Coronal Spiculation |
| Computer-assisted segmentation of brain tumor | lesion | s from multi-sequence Magnetic Resonance Imaging using the Mumford-Shah model |
| Computerised Skin | lesion | Surface Analysis for Pigment Asymmetry Quantification |
| Computerized radiographic mass detection. I. | lesion | site selection by morphological enhancement and contextual segmentation |
| Concurrent Ischemic | lesion | Age Estimation and Segmentation of CT Brain Using a Transformer-Based Network |
| Conditional dependence tests reveal the usage of ABCD rule features and bias variables in automatic skin | lesion | classification |
| Content-based medical image retrieval of CT images of liver | lesion | s using manifold learning |
| Contribution of a classifier of skin | lesion | s to the dermatologist's decision |
| COVID-index: A texture-based approach to classifying lung | lesion | s based on CT images |
| CT | lesion | recognition algorithm based on improved particle reseeding method |
| Cut-Paste Consistency Learning for Semi-Supervised | lesion | Segmentation |
| D-LEMA: Deep Learning Ensembles from Multiple Annotations - Application to Skin | lesion | Segmentation |
| DAE-CNN: Exploiting and disentangling contrast agent effects for breast | lesion | s classification in DCE-MRI |
| Dark Corner on Skin | lesion | Image Dataset: Does it matter? |
| DB-TASNet for disease diagnosis and | lesion | segmentation in medical images |
| Debiasing Skin | lesion | Datasets and Models? Not So Fast |
| Decoupling multi-task causality for improved skin | lesion | segmentation and classification |
| Deep 3D Convolutional Encoder Networks With Shortcuts for Multiscale Feature Integration Applied to Multiple Sclerosis | lesion | Segmentation |
| Deep chest X-ray: Detection and classification of | lesion | s based on deep convolutional neural networks |
| Deep Convolutional Network-based Framework for Melanoma | lesion | Detection and Segmentation |
| Deep Features Fusion with Mutual Attention Transformer for Skin | lesion | Diagnosis |
| Deep Learning Approach for Red | lesion | s Detection in Video Capsule Endoscopies, A |
| Deep Learning Based Segmentation of Breast | lesion | s in DCE-MRI |
| Deep Learning Based Skin | lesion | s Diagnosis |
| Deep Learning in the Identification of Psoriatic Skin | lesion | s |
| Deep Learning Model for Skin | lesion | Segmentation: Fully Convolutional Network |
| Deep Learning of Image Features from Unlabeled Data for Multiple Sclerosis | lesion | Segmentation |
| deep learning-based illumination transform for devignetting photographs of dermatological | lesion | s, A |
| Deep | lesion | Graphs in the Wild: Relationship Learning and Organization of Significant Radiology Image Findings in a Diverse Large-Scale Lesion Database |
| Deep | lesion | Graphs in the Wild: Relationship Learning and Organization of Significant Radiology Image Findings in a Diverse Large-Scale Lesion Database |
| Deep | lesion | Tracker: Monitoring Lesions in 4D Longitudinal Imaging Studies |
| Deep | lesion | Tracker: Monitoring Lesions in 4D Longitudinal Imaging Studies |
| deep symmetry convnet for stroke | lesion | segmentation, A |
| DeepLIMa: Deep Learning Based | lesion | Identification in Mammograms |
| deeply supervised maximum response texton based SegNet for simultaneous multi retinal | lesion | segmentation, A |
| Deformation analysis to detect and quantify active | lesion | s in three-dimensional medical image sequences |
| Delving into Universal | lesion | Segmentation: Method, Dataset, and Benchmark |
| Denoising adversarial autoencoders: classifying skin | lesion | s using limited labelled training data |
| Dense and shuffle attention U-Net for automatic skin | lesion | segmentation |
| Dense-Gated U-Net for Brain | lesion | Segmentation, A |
| Design and evaluation of a parallel and optimized light-tissue interaction-based method for fast skin | lesion | assessment |
| Despeckle Filtering: Performance Evaluation for Malignant Focal Hepatic | lesion | s |
| Detecting Protrusion | lesion | in Digestive Tract Using a Single-stage Detection Method |
| Detecting Stellate | lesion | s in Mammograms via Statistical Models |
| Detection and Analysis of Irregular Streaks in Dermoscopic Images of Skin | lesion | s |
| Detection and classification of bright | lesion | s in color fundus images |
| Detection of Chickenpox Vesicles in Digital Images of Skin | lesion | s |
| Detection of Fundus | lesion | s Using Classifier Selection |
| Detection of hard exudates and red | lesion | s in the macula using a multiscale approach |
| Detection of | lesion | s in Endoscopic Video Using Textural Descriptors on Wavelet Domain Supported by Artificial Neural Network Architectures |
| Detection of Micro-calcification to Characterize Malignant Breast | lesion | |
| Detection of skin | lesion | s using diffuse polarisation |
| Determination of Optimal Axes for Skin | lesion | Asymmetry Quantification |
| Developed Newton-Raphson based deep features selection framework for skin | lesion | recognition |
| Development of an intravascular impedance catheter for detection of fatty | lesion | s in arteries |
| Differentiation of tumoral and non-tumoral breast | lesion | s using back reflection diffuse optical tomography: A pilot clinical study |
| Digital hair removal by deep learning for skin | lesion | segmentation |
| Direct Regularization From Co-Registered Contrast MRI Improves Image Quality of MRI-Guided Near-Infrared Spectral Tomography of Breast | lesion | s |
| Directional Vector-Based Skin | lesion | Segmentation: A Novel Approach to Skin Segmentation |
| Discovery Radiomics for Detection of Severely Atypical Melanocytic | lesion | s (SAML) from Skin Imaging via Deep Residual Group Convolutional Radiomic Sequencer |
| disk expansion segmentation method for ultrasonic breast | lesion | s, A |
| Don't Tear Your Hair Out: Analysis of the Impact of Skin Hair on the Diagnosis of Microscopic Skin | lesion | s |
| Dual-Attention Dilated Residual Network for Liver | lesion | Classification and Localization on CT Images, A |
| effect of quantization at different resolutions on the classification of | lesion | texture in dermoscopic images using support vector machine, The |
| Effective Approach to Detect | lesion | s in Color Retinal Images, An |
| Efficient Detection of | lesion | s During Endoscopy |
| Enhanced classification of focal hepatic | lesion | s in ultrasound images using novel texture features |
| Enhanced grasshopper optimization-based selection of ultrasound and elastography features for breast | lesion | classification |
| Enhanced Level-Set Approach to Segmentation of 3-D Heterogeneous | lesion | s from Dynamic Contrast-Enhanced MR Images |
| Enhancement approach for liver | lesion | diagnosis using unenhanced CT images |
| Enhancing Recognition of | lesion | s in Radiographic Images Using Perceptual Feedback |
| Estimating the Detectability of Small | lesion | s in High Resolution MR Compressed Images |
| Estimation of Necrosis Volumes in Focal Liver | lesion | s Based on Multi-phase Hepatic CT Images |
| Evaluation of feature sensitivity to training data inaccuracy in detection of retinal | lesion | s |
| Evaluation of Levenberg-Marquardt neural networks and stacked autoencoders clustering for skin | lesion | analysis, screening and follow-up |
| Evaluation of multi-slice spiral computed tomography application in the diagnosis of arterial root | lesion | s |
| Evaluation of Self-supervised Pre-training for Skin- | lesion | Analysis, An |
| Evaluation of the Accuracy of Liver | lesion | DCEUS Quantification With Respiratory Gating |
| Ex Vivo and In Vivo Monitoring and Characterization of Thermal | lesion | s by High-Intensity Focused Ultrasound and Microwave Ablation Using Ultrasonic Nakagami Imaging |
| Experimental Comparison of | lesion | Detectability for Four Fully-3D PET Reconstruction Schemes |
| Explainable skin | lesion | diagnosis using taxonomies |
| Exploring Dual-Energy CT Spectral Information for Machine Learning-Driven | lesion | Diagnosis in Pre-Log Domain |
| Extracting complex | lesion | phenotypes in Zea mays |
| Extracting High-Level Intuitive Features (HLIF) for Classifying Skin | lesion | s Using Standard Camera Images |
| Extraction of Ruler Markings For Estimating Physical Size of Oral | lesion | s |
| Fast | lesion | Registration to Assist Coronary Heart Disease Diagnosis in CTA Images, A |
| Fast Skin | lesion | Segmentation via Fully Convolutional Network with Residual Architecture and CRF |
| Feasibility Study of | lesion | Detection Using Deformable Part Models in Breast Ultrasound Images |
| Feature and Classifier Selection for Automatic Classification of | lesion | s in Dynamic Contrast-Enhanced MRI of the Breast |
| Feature extraction from histopathological images based on nucleus-guided convolutional neural network for breast | lesion | classification |
| Few-shot learning for dermatological conditions with | lesion | Area Aware Swin Transformer |
| Finding Small-Bowel | lesion | s: Challenges in Endoscopy-Image-Based Learning Systems |
| Finding the optimal parameter setting for an ensemble-based | lesion | detector |
| Focal Liver | lesion | Tracking in Ceus for Characterisation Based on Dynamic Behaviour |
| Fully Automatic | lesion | Localization and Characterization: Application to Brain Tumors Using Multiparametric Quantitative MRI Data |
| Fusion of Visual and Anamnestic Data for the Classification of Skin | lesion | s with Deep Learning |
| Fuzzy C-means applied to MRI images for an automatic | lesion | detection using image enhancement and constrained clustering |
| Fuzzy Statistical Unsupervised Learning Based Total | lesion | Metabolic Activity Estimation in Positron Emission Tomography Images |
| GAN-Based Data Augmentation and Anonymization for Skin- | lesion | Analysis: A Critical Review |
| Generating Realistic Mass | lesion | s In Digital Mammograms Using Statistical Models |
| Generative Probabilistic Model and Discriminative Extensions for Brain | lesion | Segmentation: With Application to Tumor and Stroke, A |
| Graph-Based Intercategory and Intermodality Network for Multilabel Classification and Melanoma Diagnosis of Skin | lesion | s in Dermoscopy and Clinical Images |
| Graph-based skin | lesion | segmentation of multispectral dermoscopic images |
| GraphSKT: Graph-Guided Structured Knowledge Transfer for Domain Adaptive | lesion | Detection |
| Handling dataset dependence with model ensembles for skin | lesion | classification from dermoscopic and clinical images |
| Handling Domain Shift for | lesion | Detection via Semi-supervised Domain Adaptation |
| Helical CT of Von Hippel-Lindau: Semi-automated Segmentation of Renal | lesion | s |
| Hepatic | lesion | Segmentation by Combining Plain and Contrast-Enhanced CT Images with Modality Weighted U-Net |
| Hierarchical Classification Method for Mammographic | lesion | s Using Wavelet Transform and Spatial Features, A |
| Histogram-based Motion Segmentation and Characterisation of Focal Liver | lesion | s in CEUS |
| hybrid feature fusion strategy for early fusion and majority voting for late fusion towards melanocytic skin | lesion | detection, A |
| Hybrid fully convolutional networks-based skin | lesion | segmentation and melanoma detection using deep feature |
| Identification of precancerous | lesion | s by multispectral gastroendoscopy |
| Identifying Precursory Cancer | lesion | s Using Temporal Texture Analysis |
| Illumination-based Transformations Improve Skin | lesion | Segmentation in Dermoscopic Images |
| Image Based Estimation of Fruit Phytopathogenic | lesion | s Area |
| Image Enhancement and Noise Suppression for FLAIR MRIs With White Matter | lesion | s |
| Image Enhancement Based on Fractional Poisson for Segmentation of Skin | lesion | s Using the Watershed Transform |
| Imaging Mass | lesion | s by Vibro-Acoustography: Modeling and Experiments |
| Impact of Ultrasound Image Reconstruction Method on Breast | lesion | Classification with Deep Learning |
| Impact on Reader Performance for | lesion | -Detection/ Localization Tasks of Anatomical Priors in SPECT Reconstruction |
| Improved Segmentation Method for Non-melanoma Skin | lesion | s Using Active Contour Model, An |
| improved skin | lesion | detection solution using multi-step preprocessing features and NASNet transfer learning model, An |
| Improving AMD Diagnosis by the Simultaneous Identification of Associated Retinal | lesion | s |
| Improving classification performance of breast | lesion | s on ultrasonography |
| Improving | lesion | Segmentation for Diabetic Retinopathy Using Adversarial Learning |
| Improving Multiple Sclerosis | lesion | Boundaries Segmentation by Convolutional Neural Networks with Focal Learning |
| Improving the Discrimination of Benign and Malignant Breast MRI | lesion | s Using the Apparent Diffusion Coefficient |
| Incorporating Domain Knowledge Into the Fuzzy Connectedness Framework: Application to Brain | lesion | Volume Estimation in Multiple Sclerosis |
| Individualized Statistical Modeling of | lesion | s in Fundus Images for Anomaly Detection |
| Interactive | lesion | Segmentation with Shape Priors From Offline and Online Learning |
| Interpretability-Based Multimodal Convolutional Neural Networks for Skin | lesion | Diagnosis |
| Investigating and Exploiting Image Resolution for Transfer Learning-based Skin | lesion | Classification |
| Investigating self-supervised learning for Skin | lesion | Classification |
| Investigation of Deep Learning for | lesion | s Malignancy Classification in Breast DCE-MRI, An |
| Ipsilateral | lesion | Detection Refinement for Tomosynthesis |
| Irregularity and Asymmetry Analysis of Skin | lesion | s Based on Multi-Scale Local Fractal Distributions |
| Is (N)PRI suitable for evaluating automated segmentation of cutaneous | lesion | s? |
| Iterative Augmentation of Visual Evidence for Weakly-Supervised | lesion | Localization in Deep Interpretability Frameworks: Application to Color Fundus Images |
| Joint Histogram Modelling for Segmentation Multiple Sclerosis | lesion | s |
| Joint Learning of 3D | lesion | Segmentation and Classification for Explainable COVID-19 Diagnosis |
| Joint Segmentation of Retinal Layers and Focal | lesion | s in 3-D OCT Data of Topologically Disrupted Retinas |
| Knowledge-aware deep framework for collaborative skin | lesion | segmentation and melanoma recognition |
| Label-Free Segmentation of COVID-19 | lesion | s in Lung CT |
| LBP-TOP for Volume | lesion | Classification in Breast DCE-MRI |
| Learn to Segment Retinal | lesion | s and Beyond |
| Learning A Meta-Ensemble Technique For Skin | lesion | Classification And Novel Class Detection |
| Learning From Multiple Datasets With Heterogeneous and Partial Labels for Universal | lesion | Detection in CT |
| Learning to Jointly Segment the Liver, | lesion | s and Vessels from Partially Annotated Datasets |
| lesion | contrast enhancement in medical ultrasound imaging |
| lesion | Detection and Characterization With Context Driven Approximation in Thoracic FDG PET-CT Images of NSCLC Studies |
| lesion | Detection in Breast Ultrasound Images Using a Machine Learning Approach and Genetic Optimization |
| lesion | Detection in Breast Ultrasound Images Using Tissue Transition Analysis |
| lesion | Detection in Ct Images Using Deep Learning Semantic Segmentation Technique |
| lesion | Detection in Dermatoscopic Images Using Anisotropic Diffusion and Morphological Flooding |
| lesion | Detection in Dynamic FDG-PET Using Matched Subspace Detection |
| lesion | Detection Using Morphological Watershed Segmentation and Modelbased Inverse Filtering |
| lesion | detection using T1-weighted MRI: A new approach based on functional cortical ROIs |
| lesion | Localization in Paediatric Epilepsy Using Patch-based Convolutional Neural Network |
| lesion | Preserving Image Registration with Applications to Human Brains |
| lesion | Segmentation in Dynamic Contrast Enhanced MRI of Breast |
| lesion | -aware network for diabetic retinopathy diagnosis |
| lesion | -Aware Transformers for Diabetic Retinopathy Grading |
| lesion | -Based Chest Radiography Image Retrieval for Explainability in Pathology Detection |
| lesion | -Harvester: Iteratively Mining Unlabeled Lesions and Hard-Negative Examples at Scale |
| lesion | -Harvester: Iteratively Mining Unlabeled Lesions and Hard-Negative Examples at Scale |
| Less is More: Sample Selection and Label Conditioning Improve Skin | lesion | Segmentation |
| LLTO: Towards efficient | lesion | localization based on template occlusion strategy in intelligent diagnosis |
| Local similarity measures for | lesion | registration in DCE-MRI of the breast |
| Localization of | lesion | s in Dermoscopy Images Using Ensembles of Thresholding Methods |
| Longitudinal Patch-Based Segmentation of Multiple Sclerosis White Matter | lesion | s |
| Lung | lesion | Extraction Using a Toboggan Based Growing Automatic Segmentation Approach |
| Machine learning based on automated breast volume scanner (ABVS) radiomics for differential diagnosis of benign and malignant BI-RADS 4 | lesion | s |
| Markovian segmentation of 3D brain MRI to detect Multiple Sclerosis | lesion | s |
| Mass | lesion | detection with a fuzzy neural network |
| maximum-likelihood approach for ADC estimation of | lesion | s in visceral organs, A |
| MDSC-Net: A multi-scale depthwise separable convolutional neural network for skin | lesion | segmentation |
| Measurement and Detection of Spiculated | lesion | s |
| Medical Applications -- Skin | lesion | s, Wound Healing |
| Method for quantifying volumetric | lesion | change in interval liver CT examinations |
| MFSNet: A multi focus segmentation network for skin | lesion | segmentation |
| Model of Population and Subject (MOPS) Intensities With Application to Multiple Sclerosis | lesion | Segmentation, A |
| Model Regularisation for Skin | lesion | Symmetry Classification: Symderm v2.0 |
| Modified Quality Threshold Clustering for Temporal Analysis and Classification of Lung | lesion | s |
| Morphological Segmentation and Partial Volume Analysis for Volumetry of Solid Pulmonary | lesion | s in Thoracic CT Scans |
| MS | lesion | s segmentation in 3D MR images using FCM and SVM |
| MSCA-Net: Multi-scale contextual attention network for skin | lesion | segmentation |
| Multi-Label classification of multi-modality skin | lesion | via hyper-connected convolutional neural network |
| Multi-Modal Co-Learning for Liver | lesion | Segmentation on PET-CT Images |
| Multi-Modal Siamese Network for Diagnostically Similar | lesion | Retrieval in Prostate MRI |
| Multi-resolution-Tract CNN with Hybrid Pretrained and Skin- | lesion | Trained Layers |
| Multi-scale Fully Convolutional DenseNets for Automated Skin | lesion | Segmentation in Dermoscopy Images |
| Multi-scale Gaussian Difference Preprocessing and Dual Stream CNN-transformer Hybrid Network for Skin | lesion | Segmentation |
| Multichannel Spectral Image Enhancement for Visualizing Diabetic Retinopathy | lesion | s |
| Multimodal Multi-tasking for Skin | lesion | Classification Using Deep Neural Networks |
| Multiple Classifier System for Classification of Breast | lesion | s Using Dynamic and Morphological Features in DCE-MRI, A |
| Multiple sclerosis | lesion | quantification using fuzzy-connectedness principles |
| Multiresolution detection of spiculated | lesion | s in digital mammograms |
| Multiresolution Detection of Stellate | lesion | s in Mammograms |
| Multiscale AM-FM Methods for Diabetic Retinopathy | lesion | Detection |
| Multiscale ensemble of convolutional neural networks for skin | lesion | classification |
| Multispectral Endoscopy to Identify Precancerous | lesion | s in Gastric Mucosa |
| Multitask Deep Learning Reconstruction and Localization of | lesion | s in Limited Angle Diffuse Optical Tomography |
| Mutual Bootstrapping Model for Automated Skin | lesion | Segmentation and Classification, A |
| Nakagami-Fuzzy imaging framework for precise | lesion | segmentation in MRI |
| narrow band graph partitioning method for skin | lesion | segmentation, A |
| Neural Network Ensemble Based CAD System for Focal Liver | lesion | s from B-Mode Ultrasound |
| new active contour model-based segmentation approach for accurate extraction of the | lesion | from breast DCE-MRI, A |
| new algorithm for border description of polarized light surface microscopic images of pigmented skin | lesion | s, A |
| new approach for classification skin | lesion | based on transfer learning, deep learning, and IoT system, A |
| new curvelet transform based method for extraction of red | lesion | s in digital color retinal images, A |
| New Total Body Scanning System for Automatic Change Detection in Multiple Pigmented Skin | lesion | s, A |
| Noise-Robust Framework for Automatic Segmentation of COVID-19 Pneumonia | lesion | s From CT Images, A |
| Non-parametric bootstrap ensembles for detection of tumor | lesion | s |
| Nonlinear Discriminant Graph Embeddings for Detecting White Matter | lesion | s in FLAIR MRI |
| novel framework for segmentation of stroke | lesion | s in Diffusion Weighted MRI using multiple b-value data, A |
| Novel Hyper-Spectral Imaging System: Application on in-vivo Detection and Grading of Cervical Precancers and of Pigmented Skin | lesion | s, A |
| Novel Morphological Features for Non-mass-like Breast | lesion | Classification on DCE-MRI |
| novel multi-atlas and multi-channel (MAMC) approach for multiple sclerosis | lesion | segmentation in brain MRI, A |
| novel optimized neutrosophic k-means using genetic algorithm for skin | lesion | detection in dermoscopy images, A |
| Novel Weakly Supervised Multitask Architecture for Retinal | lesion | s Segmentation on Fundus Images, A |
| Object-Based Approach for Detecting Small Brain | lesion | s: Application to Virchow-Robin Spaces, An |
| Observer Efficiency in Discrimination Tasks Simulating Malignant and Benign Breast | lesion | s Imaged With Ultrasound |
| One Shot Model for COVID-19 Classification and | lesion | s Segmentation in Chest CT Scans Using Long Short-Term Memory Network With Attention Mechanism |
| Optimal Filter Framework for Automated, Instantaneous Detection of | lesion | s in Retinal Images |
| Optimizing Sharpness Measure for Bright | lesion | Detection in Retinal Image Analysis |
| Passive Elastography for Clinical HIFU | lesion | Detection |
| Pathological | lesion | detection in 3D dynamic PET images using asymmetry |
| PCA-SVM based CAD System for Focal Liver | lesion | s using B-Mode Ultrasound Images |
| Performance of MAP Reconstruction for Hot | lesion | Detection in Whole-Body PET/CT: An Evaluation With Human and Numerical Observers |
| Pigmented skin | lesion | segmentation on macroscopic images |
| Pigmented Skin | lesion | s Classification Using Dermatoscopic Images |
| Pixel Classification Methods to Detect Skin | lesion | s on Dermoscopic Medical Images |
| Polarization-Imaging-Based Machine Learning Framework for Quantitative Pathological Diagnosis of Cervical Precancerous | lesion | s, A |
| Position estimation of moving liver | lesion | based on registration between 2D ultrasound and 4D MR images |
| Predicting the histology of colorectal | lesion | s in a probabilistic framework |
| Predicting Visual Semantic Descriptive Terms From Radiological Image Data: Preliminary Results With Liver | lesion | s in CT |
| Principal Axes-Based Asymmetry Assessment Methodology for Skin | lesion | Image Analysis |
| Prior Attention Network for Multi- | lesion | Segmentation in Medical Images |
| Probabilistic Brain | lesion | Segmentation in DT-MRI |
| Probabilistic Segmentation of Brain White Matter | lesion | s Using Texture-Based Classification |
| Progressive Multiscale Consistent Network for Multiclass Fundus | lesion | Segmentation |
| Progressively-Trained Scale-Invariant and Boundary-Aware Deep Neural Network for the Automatic 3D Segmentation of Lung | lesion | s, A |
| Pulmonary | lesion | classification from endobronchial ultrasonography images using adaptive weighted-sum of the upper and lower triangular gray-level co-occurrence matrix |
| Quantification of Gaps in Ablation | lesion | s Around the Pulmonary Veins in Delayed Enhancement MRI |
| Quantitative Assessment of | lesion | Detection Accuracy, Resolution, and Reconstruction Algorithms in Neutron Stimulated Emission Computed Tomography |
| Real-time automated segmentation of breast | lesion | s using CNN-based deep learning paradigm: Investigation on mammogram and ultrasound |
| RECIST-Induced Reliable Learning: Geometry-Driven Label Propagation for Universal | lesion | Segmentation |
| RECISTSup: Weakly-Supervised | lesion | Volume Segmentation Using RECIST Measurement |
| Recognizing Focal Liver | lesion | s in CEUS With Dynamically Trained Latent Structured Models |
| Red | lesion | Detection Using Dynamic Shape Features for Diabetic Retinopathy Screening |
| Red | lesion | s detection in digital fundus images |
| Region based stellate features for classification of mammographic spiculated | lesion | s in computer-aided detection |
| Region, | lesion | and Border-Based Multiresolution Analysis of Mammogram Lesions |
| Region, | lesion | and Border-Based Multiresolution Analysis of Mammogram Lesions |
| Retinal Spot | lesion | Detection Using Adaptive Multiscale Morphological Processing |
| Robust Energy Minimization Algorithm for MS- | lesion | Segmentation, A |
| Robust Localization of Retinal | lesion | s via Weakly-supervised Learning |
| ROSNet: Robust one-stage network for CT | lesion | detection |
| RTNet: Relation Transformer Network for Diabetic Retinopathy Multi- | lesion | Segmentation |
| Rule Extraction in the Assessment of Brain MRI | lesion | s in Multiple Sclerosis: Preliminary Findings |
| Salient Skin | lesion | Segmentation via Dilated Scale-Wise Feature Fusion Network |
| Sampling with level set for pigmented skin | lesion | segmentation |
| Scale invariant descriptors in pattern analysis of melanocytic | lesion | s |
| Seamless | lesion | Insertion for Data Augmentation in CAD Training |
| SegCaps: An efficient SegCaps network-based skin | lesion | segmentation in dermoscopic images |
| Segmentation and classification of melanocytic skin | lesion | s using local and contextual features |
| Segmentation and Identification of Small Intestinal | lesion | s Based on U-Net with Batch Normalization and Virtual Sample |
| Segmentation for Multiple Sclerosis | lesion | s Based on 3D Volume Enhancement and 3D Alpha Matting |
| Segmentation Guided Scoring of Pathological | lesion | s in Swine Through CNNs |
| Segmentation method of multiple sclerosis | lesion | s based on 3D-CNN networks |
| Segmentation of Acne Vulgaris | lesion | s |
| Segmentation of large brain | lesion | s |
| Segmentation of | lesion | in Dermoscopy Images Using Dense-Residual Network with Adversarial Learning |
| Segmentation of multiple sclerosis | lesion | s from mr brain images using the principles of fuzzy-connectedness and artificial neuron networks |
| Segmentation of multiple sclerosis | lesion | s in intensity corrected multispectral MRI |
| Segmentation of Skin | lesion | s in 2-D and 3-D Ultrasound Images Using a Spatially Coherent Generalized Rayleigh Mixture Model |
| Segmentation of Skin | lesion | s Using Level Set Method |
| Segmentation-Based Partial Volume Correction for Volume Estimation of Solid | lesion | s in CT |
| Segmenting Hepatic | lesion | s Using Residual Attention U-Net with an Adaptive Weighted Dice Loss |
| Segmenting Multiple Sclerosis | lesion | s Using a Spatially Constrained K-Nearest Neighbour Approach |
| Segmenting Reddish | lesion | s in Capsule Endoscopy Images Using a Gastrointestinal Color Space |
| Segmenting skin | lesion | s with partial-differential-equations-based image processing algorithms |
| Semantic-Transferable Weakly-Supervised Endoscopic | lesion | s Segmentation |
| Semi-automated | lesion | s Segmentation of Brain Metastases in MRI Images |
| Semi-automatic computer aided | lesion | detection in dental X-rays using variational level set |
| Semi-supervised Breast | lesion | Segmentation Using Local Cross Triplet Loss for Ultrafast Dynamic Contrast-enhanced Mri |
| Semi-Supervised CT | lesion | Segmentation Using Uncertainty-Based Data Pairing and SwapMix |
| Semi-Supervised Dual Stream Segmentation Network for Fundus | lesion | Segmentation |
| Semi-Supervised Skin | lesion | Segmentation via Iterative Mask Optimization |
| SFCN: Symmetric feature comparison network for detecting ischemic stroke | lesion | s on CT images |
| Short-Term | lesion | Change Detection for Melanoma Screening With Novel Siamese Neural Network |
| simple weighted thresholding method for the segmentation of pigmented skin | lesion | s in macroscopic images, A |
| Simultaneous | lesion | Segmentation and Bias Correction in Breast Ultrasound Images |
| Single Model Deep Learning on Imbalanced Small Datasets for Skin | lesion | Classification |
| Skin disease classification versus skin | lesion | characterization: Achieving robust diagnosis using multi-label deep neural networks |
| Skin | lesion | classification based on the VGG-16 fusion residual structure |
| Skin | lesion | Classification Using Convolutional Neural Networks Based on Multi-Features Extraction |
| Skin | lesion | Classification Using Weakly-supervised Fine-grained Method |
| Skin | lesion | Diagnosis Using Fluorescence Images |
| Skin | lesion | extraction in dermoscopic images based on colour enhancement and iterative segmentation |
| Skin | lesion | Feature Vector Space with a Metric to Model Geometric Structures of Malignancy for Classification |
| Skin | lesion | images classification using new color pigmented boundary descriptors |
| Skin | lesion | segmentation based on mask RCNN, Multi Atrous Full-CNN, and a geodesic method |
| Skin | lesion | Segmentation Ensemble with Diverse Training Strategies |
| Skin | lesion | segmentation in clinical images using deep learning |
| Skin | lesion | segmentation using an improved framework of encoder-decoder based convolutional neural network |
| Skin | lesion | segmentation using object scale-oriented fully convolutional neural networks |
| Skin | lesion | Segmentation via Dense Connected Deconvolutional Network |
| Skin | lesion | s Classification: A Radiomics Approach with Deep CNN |
| SkinNet-ENDO: Multiclass skin | lesion | recognition using deep neural network and Entropy-Normal distribution optimization algorithm with ELM |
| SkinXNet: A DoG-based Model for Automatic Detection of Skin | lesion | using Deep Learning |
| SLAC: Statistical total | lesion | metabolic activity computation by fuzzy unsupervised learning of PET images |
| SLICACO: An automated novel hybrid approach for dermatoscopic melanocytic skin | lesion | segmentation |
| Small Red | lesion | s Detection Using a MAS Approach |
| SMU-Net: Saliency-Guided Morphology-Aware U-Net for Breast | lesion | Segmentation in Ultrasound Image |
| Snake-based liver | lesion | segmentation |
| Sparse Coding Based Skin | lesion | Segmentation Using Dynamic Rule-Based Refinement |
| Spatial dispersion of | lesion | s as a surrogate biomarker for disability in multiple sclerosis |
| Spatial | lesion | Indexing for Medical Image Databases Using Force Histograms |
| Spatio-Temporal Model-Based Statistical Approach to Detect Evolving Multiple Sclerosis | lesion | s, A |
| Spatio-Temporal Segmentation of Rheumatoid Arthritis | lesion | s in Serial MR Images of Joints |
| SRP&PASMLP-Net: Lightweight skin | lesion | segmentation network based on structural re-parameterization and parallel axial shift multilayer perceptron |
| SS-TBN: A Semi-Supervised Tri-Branch Network for COVID-19 Screening and | lesion | Segmentation |
| study of | lesion | skin segmentation, features selection and classification approaches, A |
| Supervised Approach for Multiple Sclerosis | lesion | Segmentation Using Context Features and an Outlier Map, A |
| Supporting Skin | lesion | Diagnosis with Content-Based Image Retrieval |
| Systematic Investigation on Deep Architectures for Automatic Skin | lesion | s Classification, A |
| T-AutoML: Automated Machine Learning for | lesion | Segmentation using Transformers in 3D Medical Imaging |
| Task Decomposing and Cell Comparing Method for Cervical | lesion | Cell Detection, A |
| Temporal Change Analysis for Characterization of Mass | lesion | s in Mammography |
| Temporal Hierarchical Adaptive Texture CRF for Automatic Detection of Gadolinium-Enhancing Multiple Sclerosis | lesion | s in Brain MRI |
| Temporally Consistent Probabilistic Detection of New Multiple Sclerosis | lesion | s in Brain MRI |
| Tensor-based sparse representations of multi-phase medical images for classification of focal liver | lesion | s |
| Terrestrial Laser Scanner and Fast Characterization of Superficial | lesion | s in Architectural Diagnosis |
| Texture analysis for classification of cervix | lesion | s |
| Texture features in the classification of melanocytic | lesion | s |
| Theoretical Analysis of Penalized Maximum-Likelihood Patlak Parametric Image Reconstruction in Dynamic PET for | lesion | Detection |
| Theoretical study of | lesion | detectability of MAP reconstruction using computer observers |
| Three-dimensional fusion of clustered and classified features for enhancement of liver and | lesion | s from abdominal radiology images |
| Three-Dimensional Reconstruction Integrated System for Brain Multiple Sclerosis | lesion | s, A |
| Tissue Drives | lesion | : Computational Evidence of Interspecies Variability in Cardiac Radiofrequency Ablation |
| Top-Down and Bottom-Up Strategies in | lesion | Detection of Background Diabetic Retinopathy |
| Toward a combined tool to assist dermatologists in melanoma detection from dermoscopic images of pigmented skin | lesion | s |
| Toward more accurate diagnosis of multiple sclerosis: Automated | lesion | segmentation in brain magnetic resonance image using modified U-Net model |
| Toward Multicenter Skin | lesion | Classification Using Deep Neural Network With Adaptively Weighted Balance Loss |
| Towards Detecting High-Uptake | lesion | s from Lung CT Scans Using Deep Learning |
| Towards efficient medical | lesion | image super-resolution based on deep residual networks |
| Towards Improved Skin | lesion | Classification using Metadata Supervision |
| Towards Robust Natural-Looking Mammography | lesion | Synthesis on Ipsilateral Dual-Views Breast Cancer Analysis |
| Tree Structured Model of Skin | lesion | Growth Pattern via Color Based Cluster Analysis |
| Trimmed-Likelihood Estimation for Focal | lesion | s and Tissue Segmentation in Multisequence MRI for Multiple Sclerosis |
| Tumor | lesion | Segmentation from 3D PET Using a Machine Learning Driven Active Surface |
| Two channels fuzzy c-means detection of multiple sclerosis | lesion | s in multispectral MR images |
| Ultrasound RF Time Series for Classification of Breast | lesion | s |
| UNET-Based Multi-Task Architecture for Brain | lesion | Segmentation |
| Use of Quadrature Filters for Detection of Stellate | lesion | s in Mammograms |
| Wavelet-Based Computer-Aided Detection of Bright | lesion | s in Retinal Fundus Images |
| Wavelet-based deep learning for skin | lesion | classification |
| Weakly Supervised | lesion | Detection From Fundus Images |
| Weakly supervised skin | lesion | segmentation based on spot-seeds guided optimal regions |
| Weakly-Supervised Cross-Domain Adaptation for Endoscopic | lesion | s Segmentation |
| Weakly-Supervised Framework for COVID-19 Classification and | lesion | Localization From Chest CT, A |
| Weakly-Supervised | lesion | Detection in Video Capsule Endoscopy Based on a Bag-of-Colour Features Model |
| Weakly-supervised localization of diabetic retinopathy | lesion | s in retinal fundus images |
| What Can Be Transferred: Unsupervised Domain Adaptation for Endoscopic | lesion | s Segmentation |
| White matter | lesion | segmentation based on feature joint occurrence probability and [chi]2 random field theory from magnetic resonance (MR) images |
| White Matter MS- | lesion | Segmentation Using a Geometric Brain Model |
| Zoom in | lesion | s for Better Diagnosis: Attention Guided Deformation Network for WCE Image Classification |
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