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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 321–330 of 640 papers

TitleStatusHype
Auto-FedRL: Federated Hyperparameter Optimization for Multi-institutional Medical Image Segmentation—0
ModDrop++: A Dynamic Filter Network with Intra-subject Co-training for Multiple Sclerosis Lesion Segmentation with Missing ModalitiesCode1
Constrained unsupervised anomaly segmentationCode1
AGMR-Net: Attention Guided Multiscale Recovery framework for stroke segmentation—0
Factorizer: A Scalable Interpretable Approach to Context Modeling for Medical Image SegmentationCode1
A novel unsupervised covid lung lesion segmentation based on the lung tissue identification—0
Segmentation and Risk Score Prediction of Head and Neck Cancers in PET/CT Volumes with 3D U-Net and Cox Proportional Hazard Neural Networks—0
A Field of Experts Prior for Adapting Neural Networks at Test TimeCode0
Cross-level Contrastive Learning and Consistency Constraint for Semi-supervised Medical Image SegmentationCode1
DCSAU-Net: A Deeper and More Compact Split-Attention U-Net for Medical Image SegmentationCode1
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