Deep learning enabled liquid-based cytology model for cervical precancer and cancer detection

Abstract Deep learning (DL) enabled liquid-based cytology has potential for cervical cancer screening or triage. Here, we develop a DL model using whole cytology slides from 17,397 women and test it on 10,826 additional cases through a three-stage process. The DL model achieves robust performance ac...

Full description

Saved in:
Bibliographic Details
Main Authors: Peng Xue, Le Dang, Ling-Hua Kong, Hong-Ping Tang, Hai-Miao Xu, Hai-Yan Weng, Zhe Wang, Rong-Gan Wei, Lian Xu, Hong-Xia Li, Hai-Yan Niu, Ming-Juan Wang, Zi-Chen Ye, Zhi-Fang Li, Wen Chen, Qin-Jing Pan, Xun Zhang, Remila Rezhake, Li Zhang, Yu Jiang, You-Lin Qiao, Lan Zhu, Fang-Hui Zhao
Format: Article
Language:English
Published: Nature Portfolio 2025-04-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-025-58883-3
Tags: Add Tag
No Tags, Be the first to tag this record!