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

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

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 a...

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Bibliographic Details
Main 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
Format: article
Language:EN
Published: Nature Portfolio 2020
Subjects:
Science
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Online Access:https://doaj.org/article/67894aca423044e8966085a1a7cd5193
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https://doaj.org/article/67894aca423044e8966085a1a7cd5193

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