Vaginal Secretions Epithelial Cells and Bacteria Recognition Based on Computer Vision

المؤلفون المشاركون

Guo, Shaozhi
Guan, Haoyuan
Li, Jianzhong
Liao, Yonghua
Zhang, Weiwen
Chen, Shengqiang

المصدر

Mathematical Problems in Engineering

العدد

المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-9، 9ص.

الناشر

Hindawi Publishing Corporation

تاريخ النشر

2020-12-02

دولة النشر

مصر

عدد الصفحات

9

التخصصات الرئيسية

هندسة مدنية

الملخص 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.

نمط استشهاد جمعية علماء النفس الأمريكية (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

نمط استشهاد الجمعية الأمريكية للغات الحديثة (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

نمط استشهاد الجمعية الطبية الأمريكية (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

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references

رقم السجل

BIM-1201766