A Computationally Efficient Approach to Segmentation of the Aorta and Coronary Arteries Using Deep Learning

A Computationally Efficient Approach to Segmentation of the Aorta and Coronary Arteries Using Deep Learning

Early detection and diagnosis of coronary artery disease could reduce the risk of developing a heart attack. The coronary arteries are optimally visualised using computed tomography coronary angiography (CTCA) imaging. These images are reviewed by specialist radiologists who evaluate the coronary ar...

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Bibliographic Details
Main Authors: Wing Keung Cheung, Robert Bell, Arjun Nair, Leon J. Menezes, Riyaz Patel, Simon Wan, Kacy Chou, Jiahang Chen, Ryo Torii, Rhodri H. Davies, James C. Moon, Daniel C. Alexander, Joseph Jacob
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Aorta
computed tomography coronary angiography
coronary artery
deep learning
segmentation
Online Access:https://ieeexplore.ieee.org/document/9492119/

Internet

https://ieeexplore.ieee.org/document/9492119/

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