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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 591–600 of 640 papers

TitleStatusHype
DTP-Net: A convolutional neural network model to predict threshold for localizing the lesions on dermatological macro-imagesCode0
Structural-Based Uncertainty in Deep Learning Across Anatomical Scales: Analysis in White Matter Lesion SegmentationCode0
DSNet: Automatic Dermoscopic Skin Lesion SegmentationCode0
Domain-Agnostic Stroke Lesion Segmentation Using Physics-Constrained Synthetic DataCode0
MUCM-Net: A Mamba Powered UCM-Net for Skin Lesion SegmentationCode0
A Mutual Bootstrapping Model for Automated Skin Lesion Segmentation and ClassificationCode0
Structure-Aware Stylized Image Synthesis for Robust Medical Image SegmentationCode0
Semi-Supervised Brain Lesion Segmentation with an Adapted Mean Teacher ModelCode0
Semi-Supervised Deep Learning for Fully Convolutional NetworksCode0
Development of RLK-Unet: a clinically favorable deep learning algorithm for brain metastasis detection and treatment response assessmentCode0
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