Diagnostic evaluation of a deep learning model for optical diagnosis of colorectal cancer
- Dejun Zhou
- Fei Tian
- Xiangdong Tian
- Lin Sun
- Xianghui Huang
- Feng Zhao
- Nan Zhou
- Zuoyu Chen
- Qiang Zhang
- Meng Yang
- Yichen Yang
- Xuexi Guo
- Zhibin Li
- Jia Liu
- Jiefu Wang
- Junfeng Wang
- Bangmao Wang
- Guoliang Zhang
- Baocun Sun
- Wei Zhang
- Dalu Kong
- Kexin Chen
- Xiangchun Li
Publication date
June 2020
DOI Publisher
Springer Science and Business Media LLC Journal
Nature CommunicationsAbstract
Colonoscopy is the most commonly used tool to screen for colorectal cancer (CRC). Here, the authors develop a deep learning model to perform optical diagnosis of CRC by training on a large data set of white-light colonoscopy images and achieve endoscopist-level performance on three independent datasets
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