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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 41–50 of 640 papers

TitleStatusHype
Complementary Network with Adaptive Receptive Fields for Melanoma SegmentationCode1
ASP-VMUNet: Atrous Shifted Parallel Vision Mamba U-Net for Skin Lesion SegmentationCode1
AAU-net: An Adaptive Attention U-net for Breast Lesions Segmentation in Ultrasound ImagesCode1
Constrained unsupervised anomaly segmentationCode1
A Data-Efficient Pan-Tumor Foundation Model for Oncology CT InterpretationCode1
Attention Swin U-Net: Cross-Contextual Attention Mechanism for Skin Lesion SegmentationCode1
Automatic segmentation of spinal multiple sclerosis lesions: How to generalize across MRI contrasts?Code1
Automatic skin lesion segmentation on dermoscopic images by the means of superpixel mergingCode1
An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localizationCode1
AC-MAMBASEG: An adaptive convolution and Mamba-based architecture for enhanced skin lesion segmentationCode1
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