Deep Neural Networks Offer Morphologic Classification and Diagnosis of Bacterial Vaginosis

Author:

Wang Zhongxiao1ORCID,Zhang Lei2,Zhao Min3,Wang Ying2,Bai Huihui4,Wang Yufeng2,Rui Can5,Fan Chong5,Li Jiao6,Li Na6,Liu Xinhuan7,Wang Zitao8,Si Yanyan9,Feng Andrea10,Li Mingxuan1112,Zhang Qiongqiong213ORCID,Yang Zhe14,Wang Mengdi15,Wu Wei1112,Cao Yang1112,Qi Lin16,Zeng Xin5,Geng Li7,An Ruifang6,Li Ping5,Liu Zhaohui4,Qiao Qiao8,Zhu Weipei16,Mo Weike111217,Liao Qinping213,Xu Wei1

Affiliation:

1. Institute for Interdisciplinary Information Sciences, Tsinghua University, Beijing, China

2. Department of Obstetrics and Gynecology, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing, China

3. Peking University First Hospital, Beijing, China

4. Beijing Obstetrics and Gynecology Hospital, Capital Medical University Beijing Maternal and Child Health Care Hospital, Beijing, China

5. Women’s Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital, Nanjing, China

6. The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China

7. Peking University Third Hospital, Beijing, China

8. The Affiliated Hospital of Inner Mongolia Medical University, Hohhot, China

9. Binzhou Medical University Hospital, Binzhou, China

10. Beijing HarMoniCare Women’s and Children’s Hospital, Beijing, China

11. Suzhou Turing Microbial Technologies Co., Ltd., Suzhou, China

12. Beijing Turing Microbial Technologies Co., Ltd., Beijing, China

13. School of Clinical Medicine, Tsinghua University, Beijing, China

14. Department of Physics, Tsinghua University, Beijing, China

15. Department of Operations Research and Financial Engineering, Princeton University, Princeton, New Jersey, USA

16. The Second Affiliated Hospital of Soochow University, Suzhou, China

17. Shanghai East Hospital, School of Life Sciences and Technology, Tongji University, Shanghai, China

Abstract

Bacterial vaginosis (BV) is caused by the excessive and imbalanced growth of bacteria in vagina, affecting 30 to 50% of women. Gram staining followed by Nugent scoring based on bacterial morphotypes under the microscope is considered the gold standard for BV diagnosis; this method is often labor-intensive and time-consuming, and results vary from person to person. We developed and optimized a convolutional neural network (CNN) model and evaluated its ability to automatically identify and classify three categories of Nugent scores from microscope images.

Funder

Tsinghua Initiative Research Program

Beijing Municipal Administration of Hospitals | Beijing Municipal Administration of Hospitals Clinical Medicine Development of Special Funding Support

National Natural Science Foundation of China

Publisher

American Society for Microbiology

Subject

Microbiology (medical)

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3. Artificial intelligence in the clinical laboratory;Clinica Chimica Acta;2024-06

4. Beyond the microscope: Unveiling bacterial vaginosis with AI‐powered multiomics data analysis;Journal of the European Academy of Dermatology and Venereology;2024-05-25

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