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Lesion Segmentation

Lesion segmentation is the task of segmenting out lesions from other objects in medical based images.

( Image credit: D-UNet )

Papers

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Showing 126–150 of 640 papers

TitleStatusHype
DeepLesion: Automated Deep Mining, Categorization and Detection of Significant Radiology Image Findings using Large-Scale Clinical Lesion AnnotationsCode1
RSANet: Recurrent Slice-wise Attention Network for Multiple Sclerosis Lesion SegmentationCode1
Bi-Directional ConvLSTM U-Net with Densley Connected ConvolutionsCode1
ASC-Net : Adversarial-based Selective Network for Unsupervised Anomaly SegmentationCode1
ChatCAD: Interactive Computer-Aided Diagnosis on Medical Image using Large Language ModelsCode1
A high-order focus interaction model and oral ulcer dataset for oral ulcer segmentationCode1
Comparative study of deep learning methods for the automatic segmentation of lung, lesion and lesion type in CT scans of COVID-19 patientsCode1
Comprehensive Comparison of Deep Learning Models for Lung and COVID-19 Lesion Segmentation in CT scansCode1
Boosting multiple sclerosis lesion segmentation through attention mechanismCode1
Boosting multiple sclerosis lesion segmentation through attention mechanismCode1
Boundary-aware Transformers for Skin Lesion SegmentationCode1
Boundary loss for highly unbalanced segmentationCode1
ASP-VMUNet: Atrous Shifted Parallel Vision Mamba U-Net for Skin Lesion SegmentationCode1
D2A U-Net: Automatic Segmentation of COVID-19 Lesions from CT Slices with Dilated Convolution and Dual Attention MechanismCode1
BeSt-LeS: Benchmarking Stroke Lesion Segmentation using Deep SupervisionCode0
Incorporating the Knowledge of Dermatologists to Convolutional Neural Networks for the Diagnosis of Skin LesionsCode0
Innovative Quantitative Analysis for Disease Progression Assessment in Familial Cerebral Cavernous MalformationsCode0
Instance-level quantitative saliency in multiple sclerosis lesion segmentationCode0
Autopet III challenge: Incorporating anatomical knowledge into nnUNet for lesion segmentation in PET/CTCode0
AG-CRC: Anatomy-Guided Colorectal Cancer Segmentation in CT with Imperfect Anatomical KnowledgeCode0
Improving automated multiple sclerosis lesion segmentation with a cascaded 3D convolutional neural network approachCode0
INCEPTNET: Precise And Early Disease Detection Application For Medical Images AnalysesCode0
Interpretability of Uncertainty: Exploring Cortical Lesion Segmentation in Multiple SclerosisCode0
AutoPET Challenge III: Testing the Robustness of Generalized Dice Focal Loss trained 3D Residual UNet for FDG and PSMA Lesion Segmentation from Whole-Body PET/CT ImagesCode0
Autopet Challenge 2023: nnUNet-based whole-body 3D PET-CT Tumour SegmentationCode0
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