An unsupervised image segmentation algorithm for coronary angiography

An unsupervised image segmentation algorithm for coronary angiography

Abstract Computer visual systems can rapidly obtain a large amount of data and automatically process them with ease. These characteristics constitute advantages for the application of such systems in the automatic analysis of medical images, as well as in processing technology. The precision of imag...

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Bibliographic Details
Main Authors:	Zong-Xian Yin, Hong-Ming Xu
Format:	Article
Language:	English
Published:	BMC 2022-10-01
Series:	BioData Mining
Subjects:	Classification Classifier Bio and medical imaging Image segmentation Machine learning Pattern recognition
Online Access:	https://doi.org/10.1186/s13040-022-00313-x

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