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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 451–460 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
Improving Lesion Segmentation in FDG-18 Whole-Body PET/CT scans using Multilabel approach: AutoPET II challenge—0
Improving Lesion Segmentation in Medical Images by Global and Regional Feature Compensation—0
Improving Multiple Sclerosis Lesion Segmentation Across Clinical Sites: A Federated Learning Approach with Noise-Resilient Training—0
Improving Small Lesion Segmentation in CT Scans using Intensity Distribution Supervision: Application to Small Bowel Carcinoid Tumor—0
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