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Clinically applicable histopathological diagnosis system for gastric cancer detection using deep learning

Authors :
Zhigang Song
Shuangmei Zou
Weixun Zhou
Yong Huang
Liwei Shao
Jing Yuan
Xiangnan Gou
Wei Jin
Zhanbo Wang
Xin Chen
Xiaohui Ding
Jinhong Liu
Chunkai Yu
Calvin Ku
Cancheng Liu
Zhuo Sun
Gang Xu
Yuefeng Wang
Xiaoqing Zhang
Dandan Wang
Shuhao Wang
Wei Xu
Richard C. Davis
Huaiyin Shi
Source :
Nature Communications, Vol 11, Iss 1, Pp 1-9 (2020)
Publication Year :
2020
Publisher :
Nature Portfolio, 2020.

Abstract

The early detection and accurate histopathological diagnosis of gastric cancer are essential factors that can help increase the chances of successful treatment. Here, the authors report on a digital pathology tool achieving high performance on a real world test dataset and show that the system can aid pathologists in improving diagnostic accuracy.

Subjects

Subjects :
Science

Details

Language :
English
ISSN :
20411723
Volume :
11
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Nature Communications
Publication Type :
Academic Journal
Accession number :
edsdoj.67894aca423044e8966085a1a7cd5193
Document Type :
article
Full Text :
https://doi.org/10.1038/s41467-020-18147-8