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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 501–510 of 640 papers

TitleStatusHype
DSNet: Automatic Dermoscopic Skin Lesion SegmentationCode0
Learning joint lesion and tissue segmentation from task-specific hetero-modal datasets—0
DeepMRSeg: A convolutional deep neural network for anatomy and abnormality segmentation on MR images—0
SLSNet: Skin lesion segmentation using a lightweight generative adversarial network—0
Refined-Segmentation R-CNN: A Two-stage Convolutional Neural Network for Punctate White Matter Lesion Segmentation in Preterm InfantsCode0
Mask2Lesion: Mask-Constrained Adversarial Skin Lesion Image Synthesis—0
Generative Model-Based Ischemic Stroke Lesion Segmentation—0
Handling Inter-Annotator Agreement for Automated Skin Lesion SegmentationCode0
Collaborative Learning of Semi-Supervised Segmentation and Classification for Medical Images—0
A multi-path 2.5 dimensional convolutional neural network system for segmenting stroke lesions in brain MRI imagesCode0
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