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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 541–550 of 640 papers

TitleStatusHype
A Novel Focal Tversky loss function with improved Attention U-Net for lesion segmentationCode0
Dense Multi-path U-Net for Ischemic Stroke Lesion Segmentation in Multiple Image Modalities—0
A Multi-stage Framework with Context Information Fusion Structure for Skin Lesion Segmentation—0
Conditional Generative Refinement Adversarial Networks for Unbalanced Medical Image Semantic Segmentation—0
Automatic Skin Lesion Segmentation Using GrabCut in HSV Colour SpaceCode0
A Detection and Segmentation Architecture for Skin Lesion Segmentation on Dermoscopy Images—0
Shallow vs deep learning architectures for white matter lesion segmentation in the early stages of multiple sclerosis—0
Generating Highly Realistic Images of Skin Lesions with GANs—0
Deep-Learning Ensembles for Skin-Lesion Segmentation, Analysis, Classification: RECOD Titans at ISIC Challenge 2018—0
Automatic skin lesion segmentation on dermoscopic images by the means of superpixel mergingCode1
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