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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 371–380 of 640 papers

TitleStatusHype
Segmenting Dermoscopic Images—0
Self-Attention Diffusion Models for Zero-Shot Biomedical Image Segmentation: Unlocking New Frontiers in Medical Imaging—0
Self-Learning AI Framework for Skin Lesion Image Segmentation and Classification—0
Self-supervised Brain Lesion Generation for Effective Data Augmentation of Medical Images—0
Self-Supervised Equivariant Regularization Reconciles Multiple Instance Learning: Joint Referable Diabetic Retinopathy Classification and Lesion Segmentation—0
Self-Supervised Learning from Unlabeled Fundus Photographs Improves Segmentation of the Retina—0
Semantic Segmentation of Skin Lesions using a Small Data Set—0
Semi-Automatic Algorithm for Breast MRI Lesion Segmentation Using Marker-Controlled Watershed Transformation—0
Semi-supervised few-shot learning for medical image segmentation—0
Semi-supervised Skin Lesion Segmentation via Transformation Consistent Self-ensembling Model—0
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