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MPSeg : Multi-Phase strategy for coronary artery Segmentation
Accurate segmentation of coronary arteries is a pivotal process in assessing cardiovascular diseases.
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Coronary Artery Segmentation
on ARCADE
SSASS: Semi-Supervised Approach for Stenosis Segmentation
Coronary artery stenosis is a critical health risk, and its precise identification in Coronary Angiography (CAG) can significantly aid medical practitioners in accurately evaluating the severity of a patient's condition.
Ranked #1 on
Stenosis Segmentation
on ARCADE
Weakly Supervised Thoracic Disease Localization via Disease Masks
To enable a deep learning-based system to be used in the medical domain as a computer-aided diagnosis system, it is essential to not only classify diseases but also present the locations of the diseases.
