Vaginal Secretions Epithelial Cells and Bacteria Recognition Based on Computer Vision
Joint Authors
Guo, Shaozhi
Guan, Haoyuan
Li, Jianzhong
Liao, Yonghua
Zhang, Weiwen
Chen, Shengqiang
Source
Mathematical Problems in Engineering
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-12-02
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
The examination of vaginal secretions epithelial is of great importance to female reproductive health.
The results of manual detection will be affected by subjective judgment and fatigue.
In this paper, an identification method based on computer vision is proposed to identify vaginal secretions epithelial cells and some bacteria.
The experimental results demonstrate that the method can significantly distinguish the vaginal secretions epithelial cells from the bacteria and virus.
American Psychological Association (APA)
Guo, Shaozhi& Guan, Haoyuan& Li, Jianzhong& Liao, Yonghua& Zhang, Weiwen& Chen, Shengqiang. 2020. Vaginal Secretions Epithelial Cells and Bacteria Recognition Based on Computer Vision. Mathematical Problems in Engineering،Vol. 2020, no. 2020, pp.1-9.
https://search.emarefa.net/detail/BIM-1201766
Modern Language Association (MLA)
Guo, Shaozhi…[et al.]. Vaginal Secretions Epithelial Cells and Bacteria Recognition Based on Computer Vision. Mathematical Problems in Engineering No. 2020 (2020), pp.1-9.
https://search.emarefa.net/detail/BIM-1201766
American Medical Association (AMA)
Guo, Shaozhi& Guan, Haoyuan& Li, Jianzhong& Liao, Yonghua& Zhang, Weiwen& Chen, Shengqiang. Vaginal Secretions Epithelial Cells and Bacteria Recognition Based on Computer Vision. Mathematical Problems in Engineering. 2020. Vol. 2020, no. 2020, pp.1-9.
https://search.emarefa.net/detail/BIM-1201766
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1201766
