Coronary arteries segmentation based on the 3D discrete wavelet transform and 3D neutrosophic transform.

Shuo-Tsung ChenTzung-Dau WangWen-Jeng LeeTsai-Wei HuangPei-Kai HungCheng-Yu WeiChung-Ming ChenWoon-Man Kung

Published in: BioMed research international (2015)

Based on the initial segmentation of coronary arteries obtained from 3D region growing, one-level 3D DWT and 3D neutrosophic transformation can be applied to detect coronary pathologies accurately.

Keyphrases

coronary artery disease
coronary artery
convolutional neural network
deep learning
aortic stenosis
blood flow
machine learning
transcatheter aortic valve replacement
ejection fraction