Abstract: Automatic and accurate vessel segmentation is crucial for disease diagnosis. Deep learning methods are widely used, but their promising results rely on accurately annotated data. Due to ...

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† Department of Electrical and Computer Engineering, University of Virginia, Charlottesville, Virginia 22904, United States ‡ Department of Microbiology, Immunology and Cancer Biology, University of ...

Abstract: We introduce a one-shot segmentation method to alleviate the burden of manual annotation for medical images. The main idea is to treat one-shot segmentation as a classical atlas-based ...