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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
Composite Deep Network with Feature Weighting for Improved Delineation of COVID Infection in Lung CT—0
MKIS-Net: A Light-Weight Multi-Kernel Network for Medical Image Segmentation—0
SLSNet: Skin lesion segmentation using a lightweight generative adversarial network—0
MS Lesion Segmentation: Revisiting Weighting Mechanisms for Federated Learning—0
Exploiting Precision Mapping and Component-Specific Feature Enhancement for Breast Cancer Segmentation and Identification—0
Improving automated multiple sclerosis lesion segmentation with a cascaded 3D convolutional neural network approachCode0
Cut-Paste Consistency Learning for Semi-Supervised Lesion SegmentationCode0
An Attention Based Pipeline for Identifying Pre-Cancer Lesions in Head and Neck Clinical ImagesCode0
Skin Lesion Segmentation using SegNet with Binary Cross-EntropyCode0
Improved automated lesion segmentation in whole-body FDG/PET-CT via Test-Time AugmentationCode0
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