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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 531–540 of 640 papers

TitleStatusHype
Image Translation for Medical Image Generation -- Ischemic Stroke LesionsCode0
AutoPET Challenge III: Testing the Robustness of Generalized Dice Focal Loss trained 3D Residual UNet for FDG and PSMA Lesion Segmentation from Whole-Body PET/CT ImagesCode0
Autopet Challenge 2023: nnUNet-based whole-body 3D PET-CT Tumour SegmentationCode0
AutoPET Challenge 2022: Step-by-Step Lesion Segmentation in Whole-body FDG-PET/CTCode0
A Field of Experts Prior for Adapting Neural Networks at Test TimeCode0
S^3-Mamba: Small-Size-Sensitive Mamba for Lesion SegmentationCode0
ZS-VCOS: Zero-Shot Outperforms Supervised Video Camouflaged Object SegmentationCode0
Volume of hyperintense inflammation (VHI): a deep learning-enabled quantitative imaging biomarker of inflammation load in spondyloarthritisCode0
Image Segmentation: Inducing graph-based learningCode0
Hybrid Cascaded Neural Network for Liver Lesion SegmentationCode0
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