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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
Boundary-aware Transformers for Skin Lesion SegmentationCode1
An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localizationCode1
Boundary loss for highly unbalanced segmentationCode1
CarveMix: A Simple Data Augmentation Method for Brain Lesion SegmentationCode1
AViT: Adapting Vision Transformers for Small Skin Lesion Segmentation DatasetsCode1
Automatic Tumor Segmentation via False Positive Reduction Network for Whole-Body Multi-Modal PET/CT ImagesCode1
Bi-Directional ConvLSTM U-Net with Densley Connected ConvolutionsCode1
Automatic segmentation of spinal multiple sclerosis lesions: How to generalize across MRI contrasts?Code1
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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