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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 451–460 of 640 papers

TitleStatusHype
4D Deep Learning for Multiple Sclerosis Lesion Activity Segmentation—0
Spectral GUI for Automated Tissue and Lesion Segmentation of T1 Weighted Breast MR Images—0
Cascaded Context Enhancement Network for Automatic Skin Lesion Segmentation—0
A generic ensemble based deep convolutional neural network for semi-supervised medical image segmentationCode0
An automatic COVID-19 CT segmentation network using spatial and channel attention mechanism—0
Spatio-temporal Learning from Longitudinal Data for Multiple Sclerosis Lesion SegmentationCode1
Lesion Conditional Image Generation for Improved Segmentation of Intracranial Hemorrhage from CT Images—0
Illumination-based Transformations Improve Skin Lesion Segmentation in Dermoscopic ImagesCode1
Semi-supervised few-shot learning for medical image segmentation—0
Automatic Lesion Detection System (ALDS) for Skin Cancer Classification Using SVM and Neural Classifiers—0
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