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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 271–280 of 640 papers

TitleStatusHype
Handling Inter-Annotator Agreement for Automated Skin Lesion SegmentationCode0
H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation from CT VolumesCode0
Improved automated lesion segmentation in whole-body FDG/PET-CT via Test-Time AugmentationCode0
S^3-Mamba: Small-Size-Sensitive Mamba for Lesion SegmentationCode0
Explaining Uncertainty in Multiple Sclerosis Lesion Segmentation Beyond Prediction Errors—0
Expert Knowledge-guided Geometric Representation Learning for Magnetic Resonance Imaging-based Glioma Grading—0
Domain Adaptive Medical Image Segmentation via Adversarial Learning of Disease-Specific Spatial Patterns—0
Bag of Tricks for Developing Diabetic Retinopathy Analysis Framework to Overcome Data Scarcity—0
A Region of Interest Focused Triple UNet Architecture for Skin Lesion Segmentation—0
Ensembling Low Precision Models for Binary Biomedical Image Segmentation—0
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