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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 501–510 of 640 papers

TitleStatusHype
DSNet: a simple yet efficient network with dual-stream attention for lesion segmentation—0
Dual-Attention Enhanced BDense-UNet for Liver Lesion Segmentation—0
DynSegNet:Dynamic Architecture Adjustment for Adversarial Learning in Segmenting Hemorrhagic Lesions from Fundus Images—0
EAGLE: An Efficient Global Attention Lesion Segmentation Model for Hepatic Echinococcosis—0
Efficient Folded Attention for 3D Medical Image Reconstruction and Segmentation—0
Election of Collaborators via Reinforcement Learning for Federated Brain Tumor Segmentation—0
Ensemble of Multi-sized FCNs to Improve White Matter Lesion Segmentation—0
Ensembling Low Precision Models for Binary Biomedical Image Segmentation—0
Domain Adaptive Medical Image Segmentation via Adversarial Learning of Disease-Specific Spatial Patterns—0
Expert Knowledge-guided Geometric Representation Learning for Magnetic Resonance Imaging-based Glioma Grading—0
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