SAM-VMNet: Deep Neural Networks For Coronary Angiography Vessel Segmentation

Coronary artery disease (CAD) is one of the most prevalent diseases in the cardiovascular field and one of the major contributors to death worldwide. Computed Tomography Angiography (CTA) images are regarded as the authoritative standard for the diagnosis of coronary artery disease, and by performing vessel segmentation and stenosis detection on CTA images, physicians are able to diagnose coronary artery disease more accurately.

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Xueying Zenga, Baixiang Huang, Yu Lu, Guangyu Wei, Songyan He, Yushuang Shao (2024). Dataset: SAM-VMNet: Deep Neural Networks For Coronary Angiography Vessel Segmentation. https://doi.org/10.57702/59nshdnq

DOI retrieved: December 2, 2024

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Created December 2, 2024
Last update December 2, 2024
Author Xueying Zenga
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Baixiang Huang
Yu Lu
Guangyu Wei
Songyan He
Yushuang Shao