Automatic Detection of Coronary Metallic Stent Struts Based on YOLOv3 and R-FCN
Joint Authors
Zeng, Yanqiu
Xiao, Shixiao
Jiang, Xiaolu
He, Shaojie
Ye, Caizhi
Qi, Yu
Zhao, Jiangsheng
Wei, Dezhi
Hu, Muhua
Chen, Fei
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-09-01
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
An artificial stent implantation is one of the most effective ways to treat coronary artery diseases.
It is vital in vascular medical imaging, such as intravascular optical coherence tomography (IVOCT), to be able to track the position of stents in blood vessels effectively.
We trained two models, the “You Only Look Once” version 3 (YOLOv3) and the Region-based Fully Convolutional Network (R-FCN), to detect metal support struts in IVOCT, respectively.
After rotating the original images in the training set for data augmentation, and modifying the scale of the conventional anchor box in both two algorithms to fit the size of the target strut, YOLOv3 and R-FCN achieved precision, recall, and AP all above 95% in 0.4 IoU threshold.
And R-FCN performs better than YOLOv3 in all relevant indicators.
American Psychological Association (APA)
Jiang, Xiaolu& Zeng, Yanqiu& Xiao, Shixiao& He, Shaojie& Ye, Caizhi& Qi, Yu…[et al.]. 2020. Automatic Detection of Coronary Metallic Stent Struts Based on YOLOv3 and R-FCN. Computational and Mathematical Methods in Medicine،Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1139353
Modern Language Association (MLA)
Jiang, Xiaolu…[et al.]. Automatic Detection of Coronary Metallic Stent Struts Based on YOLOv3 and R-FCN. Computational and Mathematical Methods in Medicine No. 2020 (2020), pp.1-10.
https://search.emarefa.net/detail/BIM-1139353
American Medical Association (AMA)
Jiang, Xiaolu& Zeng, Yanqiu& Xiao, Shixiao& He, Shaojie& Ye, Caizhi& Qi, Yu…[et al.]. Automatic Detection of Coronary Metallic Stent Struts Based on YOLOv3 and R-FCN. Computational and Mathematical Methods in Medicine. 2020. Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1139353
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1139353