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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
Learning Mutually Local-global U-nets For High-resolution Retinal Lesion Segmentation in Fundus Images—0
Skin lesion segmentation using U-Net and good training strategies—0
Unsupervised brain lesion segmentation from MRI using a convolutional autoencoder—0
A Self-Adaptive Network For Multiple Sclerosis Lesion Segmentation From Multi-Contrast MRI With Various Imaging Protocols—0
A Progressively-trained Scale-invariant and Boundary-aware Deep Neural Network for the Automatic 3D Segmentation of Lung Lesions—0
Multi-branch Convolutional Neural Network for Multiple Sclerosis Lesion Segmentation—0
Ischemic Stroke Lesion Segmentation in CT Perfusion Scans using Pyramid Pooling and Focal Loss—0
Acute and sub-acute stroke lesion segmentation from multimodal MRICode0
An Adversarial Learning Approach to Medical Image Synthesis for Lesion Detection—0
A Novel Focal Tversky loss function with improved Attention U-Net for lesion segmentationCode0
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