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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 31–40 of 640 papers

TitleStatusHype
CoactSeg: Learning from Heterogeneous Data for New Multiple Sclerosis Lesion SegmentationCode1
A Robust Ensemble Algorithm for Ischemic Stroke Lesion Segmentation: Generalizability and Clinical Utility Beyond the ISLES ChallengeCode1
Comparative study of deep learning methods for the automatic segmentation of lung, lesion and lesion type in CT scans of COVID-19 patientsCode1
Complementary Network with Adaptive Receptive Fields for Melanoma SegmentationCode1
Boundary loss for highly unbalanced segmentationCode1
Boundary-aware Transformers for Skin Lesion SegmentationCode1
CA-Net: Comprehensive Attention Convolutional Neural Networks for Explainable Medical Image SegmentationCode1
An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localizationCode1
AADG: Automatic Augmentation for Domain Generalization on Retinal Image SegmentationCode1
AC-MAMBASEG: An adaptive convolution and Mamba-based architecture for enhanced skin lesion segmentationCode1
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