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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 401–410 of 640 papers

TitleStatusHype
Skip and Skip: Segmenting Medical Images with Prompts—0
Slicer Networks—0
SLP-Net:An efficient lightweight network for segmentation of skin lesions—0
SLPT: Selective Labeling Meets Prompt Tuning on Label-Limited Lesion Segmentation—0
SLSDeep: Skin Lesion Segmentation Based on Dilated Residual and Pyramid Pooling Networks—0
Soft labeling by Distilling Anatomical knowledge for Improved MS Lesion Segmentation—0
Spatially Aware Melanoma Segmentation Using Hybrid Deep Learning Techniques—0
Spatially Covariant Lesion Segmentation—0
Spectral GUI for Automated Tissue and Lesion Segmentation of T1 Weighted Breast MR Images—0
SSL^2: Self-Supervised Learning meets Semi-Supervised Learning: Multiple Sclerosis Segmentation in 7T-MRI from large-scale 3T-MRI—0
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