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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
Bag of Tricks for Developing Diabetic Retinopathy Analysis Framework to Overcome Data Scarcity—0
MKIS-Net: A Light-Weight Multi-Kernel Network for Medical Image Segmentation—0
Whole-body tumor segmentation of 18F -FDG PET/CT using a cascaded and ensembled convolutional neural networks—0
Improved automated lesion segmentation in whole-body FDG/PET-CT via Test-Time AugmentationCode0
Exploring Vanilla U-Net for Lesion Segmentation from Whole-body FDG-PET/CT ScansCode1
Self-Supervised Equivariant Regularization Reconciles Multiple Instance Learning: Joint Referable Diabetic Retinopathy Classification and Lesion Segmentation—0
PriorNet: lesion segmentation in PET-CT including prior tumor appearance information—0
APAUNet: Axis Projection Attention UNet for Small Target in 3D Medical SegmentationCode0
Cut-Paste Consistency Learning for Semi-Supervised Lesion SegmentationCode0
Application of the nnU-Net for automatic segmentation of lung lesion on CT images, and implication on radiomic models—0
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