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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
Salient Skin Lesion Segmentation via Dilated Scale-Wise Feature Fusion Network—0
SAN-Net: Learning Generalization to Unseen Sites for Stroke Lesion Segmentation with Self-Adaptive NormalizationCode0
MS Lesion Segmentation: Revisiting Weighting Mechanisms for Federated Learning—0
Class Balanced PixelNet for Neurological Image Segmentation—0
Segmentation-Consistent Probabilistic Lesion CountingCode0
Ischemic Stroke Lesion Segmentation Using Adversarial Learning—0
Segmentation Network with Compound Loss Function for Hydatidiform Mole Hydrops Lesion Recognition—0
CCAT-NET: A Novel Transformer Based Semi-supervised Framework for Covid-19 Lung Lesion Segmentation—0
Auto-FedRL: Federated Hyperparameter Optimization for Multi-institutional Medical Image Segmentation—0
AGMR-Net: Attention Guided Multiscale Recovery framework for stroke segmentation—0
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