Main Coronary Vessel Segmentation Using Deep Learning in Smart Medical
Joint Authors
Chen, Junyu
Xian, Zhanchao
Yan, Shaodi
Yang, Dahao
Peng, Changnong
Wang, Xiaoqing
Source
Mathematical Problems in Engineering
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-10-22
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
The automatic segmentation of main vessels on X-ray angiography (XRA) images is of great importance in the smart coronary artery disease diagnosis system.
However, existing methods have been developed to this task, but these methods have difficulty in recognizing the coronary artery structure in XRA images.
Main vessel segmentation is still a challenging task due to the diversity and small-size region of the vessel in the XRA images.
In this study, we propose a robust method for main vessel segmentation by using deep learning architectures with fully convolutional networks.
Four deep learning models based on the UNet architecture are evaluated on a clinical dataset, which consists of 3200 X-ray angiography images collected from 1118 patients.
Using the precision (Pre), recall (Re), and F1 score (F1) as evaluation metrics, the average Pre, Re, and F1 for main vessel segmentation in the entire experimental dataset is 0.901, 0.898, and 0.900, respectively.
89.8% of the images exhibited a high F1 score >0.8.
For the main vessel segmentation in XRA images, our deep learning methods demonstrated that vessels could be segmented in real time with a more optimized implementation, to further facilitate the online diagnosis in smart medical.
American Psychological Association (APA)
Xian, Zhanchao& Wang, Xiaoqing& Yan, Shaodi& Yang, Dahao& Chen, Junyu& Peng, Changnong. 2020. Main Coronary Vessel Segmentation Using Deep Learning in Smart Medical. Mathematical Problems in Engineering،Vol. 2020, no. 2020, pp.1-9.
https://search.emarefa.net/detail/BIM-1201733
Modern Language Association (MLA)
Xian, Zhanchao…[et al.]. Main Coronary Vessel Segmentation Using Deep Learning in Smart Medical. Mathematical Problems in Engineering No. 2020 (2020), pp.1-9.
https://search.emarefa.net/detail/BIM-1201733
American Medical Association (AMA)
Xian, Zhanchao& Wang, Xiaoqing& Yan, Shaodi& Yang, Dahao& Chen, Junyu& Peng, Changnong. Main Coronary Vessel Segmentation Using Deep Learning in Smart Medical. Mathematical Problems in Engineering. 2020. Vol. 2020, no. 2020, pp.1-9.
https://search.emarefa.net/detail/BIM-1201733
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1201733