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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 261–270 of 640 papers

TitleStatusHype
CovTANet: A Hybrid Tri-level Attention Based Network for Lesion Segmentation, Diagnosis, and Severity Prediction of COVID-19 Chest CT Scans—0
CovSegNet: A Multi Encoder-Decoder Architecture for Improved Lesion Segmentation of COVID-19 Chest CT Scans—0
Automated external cervical resorption segmentation in cone-beam CT using local texture features—0
A Multi-task Framework for Skin Lesion Detection and Segmentation—0
COVID-view: Diagnosis of COVID-19 using Chest CT—0
GLAM: Glomeruli Segmentation for Human Pathological Lesions using Adapted Mouse Model—0
GradMask: Reduce Overfitting by Regularizing Saliency—0
Cortical lesions, central vein sign, and paramagnetic rim lesions in multiple sclerosis: emerging machine learning techniques and future avenues—0
Context-aware PolyUNet for Liver and Lesion Segmentation from Abdominal CT Images—0
A Multi-stage Framework with Context Information Fusion Structure for Skin Lesion Segmentation—0
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