A Computationally Efficient Approach to Segmentation of the Aorta and Coronary Arteries Using Deep Learning.
Wing Keung CheungRobert BellArjun NairLeon J. MenezesRiyaz PatelSimon WanKacy ChouJiahang ChenRyo ToriiRhodri H. DaviesJames C. MoonDaniel C. AlexanderJoseph JacobPublished in: IEEE Access (2021)
Keyphrases
- deep learning
- coronary artery
- computationally efficient
- intravascular ultrasound
- unsupervised learning
- unsupervised feature learning
- image segmentation
- level set
- coronary artery disease
- segmentation algorithm
- imaging modalities
- multiscale
- medical images
- machine learning
- segmentation method
- post mortem
- shape prior
- fully automatic
- multiple objects
- supervised learning
- k means