期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2021
卷号：99
期号：7
语种：English
出版社：Journal of Theoretical and Applied
摘要：Analysis and examination of huge volumetric data produced by CTA is a tedious and time-consuming task for radiologists when it comes to many patients. Therefore, computer-assisted diagnostic techniques are required to assist the clinical experts for the tracking of coronary arteries in volumetric datasets of heart in an automatic fashion. This paper aims to presents some of the most commonly used segmentation algorithms along with their pros and cons and their solution in the reported literature. This study specifically provides a study of four different techniques that are meant to segment the coronary arteries from volumetric datasets. The efficiency of all these methods has been validated on real clinical CTA datasets. Additionally, statistical comparison of these method is also provided with the help of performance measures including Precision, Recall, Jaccard Index (JI), and F-measure.
