Reinforcement learning–based WSI diagnostic system for cervical squamous cell carcinoma and precancerous lesions

20260 citationsJournal Articlegold Open Access

Authors

Xi Deng · University of Nottingham Ningbo China

Taojie Zhu · University Town of Shenzhen

Yizhi Wang · University Town of Shenzhen

Bin Hu · Zhejiang Medicine (China)

Han Yuan · University Town of Shenzhen

Deshui Yu · University Town of Shenzhen

Fanyi Zeng ·

Abstract

This work offers a highly accurate, generalizable, and trustworthy solution poised to standardize SIL and SCC grading and improve the reliability of cervical cancer screening, ultimately aiding in early detection and prevention of both SIL and SCC.

Topics & Keywords

AI in cancer detection Cervical Cancer and HPV Research Endometrial and Cervical Cancer Treatments

Publication Details

Published in: Journal of Translational Medicine

DOI: 10.1186/s12967-026-07954-0

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Reinforcement learning–based WSI diagnostic system for cervical squamous cell carcinoma and precancerous lesions

Authors

Abstract

Topics & Keywords

Publication Details