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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 361–370 of 640 papers

TitleStatusHype
Weakly Supervised Lesion Co-segmentation on CT Scans—0
Weakly-Supervised Lesion Segmentation on CT Scans using Co-Segmentation—0
Weakly-Supervised Universal Lesion Segmentation with Regional Level Set Loss—0
Where is the disease? Semi-supervised pseudo-normality synthesis from an abnormal image—0
White matter hyperintensities volume and cognition: Assessment of a deep learning based lesion detection and quantification algorithm on the Alzheimers Disease Neuroimaging Initiative—0
Whole-body tumor segmentation of 18F -FDG PET/CT using a cascaded and ensembled convolutional neural networks—0
Composite Deep Network with Feature Weighting for Improved Delineation of COVID Infection in Lung CT—0
Generative Model-Based Ischemic Stroke Lesion Segmentation—0
3D PETCT Tumor Lesion Segmentation via GCN Refinement—0
3DPX: Single Panoramic X-ray Analysis Guided by 3D Oral Structure Reconstruction—0
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