当前位置: X-MOL 学术Math. Probl. Eng. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Vaginal Secretions Epithelial Cells and Bacteria Recognition Based on Computer Vision
Mathematical Problems in Engineering Pub Date : 2020-12-02 , DOI: 10.1155/2020/8863147
Shaozhi Guo 1 , Haoyuan Guan 2 , Jianzhong Li 1, 3 , Yonghua Liao 4 , Weiwen Zhang 5 , Shengqiang Chen 6
Affiliation  

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.

中文翻译:

基于计算机视觉的阴道分泌物上皮细胞和细菌识别

阴道分泌物上皮的检查对女性生殖健康非常重要。手动检测的结果会受到主观判断和疲劳的影响。本文提出了一种基于计算机视觉的识别方法,用于识别阴道分泌物上皮细胞和某些细菌。实验结果表明,该方法可以明显地将阴道分泌物上皮细胞与细菌和病毒区分开。
更新日期:2020-12-04
down
wechat
bug