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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 71–80 of 640 papers

TitleStatusHype
U-Net-based Models for Skin Lesion Segmentation: More Attention and AugmentationCode1
Exploring Vanilla U-Net for Lesion Segmentation from Whole-body FDG-PET/CT ScansCode1
Automatic Tumor Segmentation via False Positive Reduction Network for Whole-Body Multi-Modal PET/CT ImagesCode1
AADG: Automatic Augmentation for Domain Generalization on Retinal Image SegmentationCode1
ISLES 2022: A multi-center magnetic resonance imaging stroke lesion segmentation datasetCode1
Patcher: Patch Transformers with Mixture of Experts for Precise Medical Image SegmentationCode1
XBound-Former: Toward Cross-scale Boundary Modeling in TransformersCode1
Progressive Multi-scale Consistent Network for Multi-class Fundus Lesion SegmentationCode1
Self-supervised Assisted Active Learning for Skin Lesion SegmentationCode1
FedMix: Mixed Supervised Federated Learning for Medical Image SegmentationCode1
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