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Robust whole slide image analysis for cervical cancer screening using deep learning

Authors :
Shenghua Cheng
Sibo Liu
Jingya Yu
Gong Rao
Yuwei Xiao
Wei Han
Wenjie Zhu
Xiaohua Lv
Ning Li
Jing Cai
Zehua Wang
Xi Feng
Fei Yang
Xiebo Geng
Jiabo Ma
Xu Li
Ziquan Wei
Xueying Zhang
Tingwei Quan
Shaoqun Zeng
Li Chen
Junbo Hu
Xiuli Liu
Source :
Nature Communications, Vol 12, Iss 1, Pp 1-10 (2021)
Publication Year :
2021
Publisher :
Nature Portfolio, 2021.

Abstract

Computer-assisted diagnosis is key for scaling up cervical cancer screening, but current algorithms perform poorly on whole slide image analysis and generalization. Here, the authors present a WSI classification and top lesion cell recommendation system using deep learning, and achieve comparable results with cytologists.

Subjects

Subjects :
Science

Details

Language :
English
ISSN :
20411723
Volume :
12
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Nature Communications
Publication Type :
Academic Journal
Accession number :
edsdoj.22c2f657a4034084a68ccb9d935f6590
Document Type :
article
Full Text :
https://doi.org/10.1038/s41467-021-25296-x