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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 381–390 of 640 papers

TitleStatusHype
Adapting to Unseen Vendor Domains for MRI Lesion Segmentation—0
A Detection and Segmentation Architecture for Skin Lesion Segmentation on Dermoscopy Images—0
AD-Net: Attention-based dilated convolutional residual network with guided decoder for robust skin lesion segmentation—0
A Characteristic Function-based Algorithm for Geodesic Active Contours—0
A Fully-Automated Pipeline for Detection and Segmentation of Liver Lesions and Pathological Lymph Nodes—0
A hybrid approach for improving U-Net variants in medical image segmentation—0
A Lightweight U-Net Model for Accurate Skin Lesion Segmentation—0
Grading and Anomaly Detection for Automated Retinal Image Analysis using Deep Learning—0
A Multi-stage Framework with Context Information Fusion Structure for Skin Lesion Segmentation—0
A Multi-task Framework for Skin Lesion Detection and Segmentation—0
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