Nature Communications (Jun 2020)
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
Affiliations
- Dejun Zhou
- Department of Endoscopic Diagnosis and Therapy, National Clinical Research Center for Cancer, Key Laboratory of Molecular Cancer Epidemiology of Tianjin, Tianjin’s Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University
- Fei Tian
- Department of Colorectal Cancer, National Clinical Research Center for Cancer, Key Laboratory of Molecular Cancer Epidemiology of Tianjin, Tianjin’s Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University
- Xiangdong Tian
- Department of Endoscopic Diagnosis and Therapy, National Clinical Research Center for Cancer, Key Laboratory of Molecular Cancer Epidemiology of Tianjin, Tianjin’s Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University
- Lin Sun
- Department of Pathology, National Clinical Research Center for Cancer, Key Laboratory of Molecular Cancer Epidemiology of Tianjin, Tianjin’s Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University
- Xianghui Huang
- General Surgery Department, Ningbo First Hospital, Zhejiang University Ningbo Hospital
- Feng Zhao
- Anorectal Department, Nanyang Hospital of Traditional Chinese Medicine
- Nan Zhou
- Anorectal Department, Nanyang Hospital of Traditional Chinese Medicine
- Zuoyu Chen
- General Surgery Department, General Hospital of Tianjin Medical University, Tianjin Medical University
- Qiang Zhang
- Department of Maxillofacial and Otorhinolaryngology Oncology, National Clinical Research Center for Cancer, Key Laboratory of Molecular Cancer Epidemiology of Tianjin, Tianjin’s Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University
- Meng Yang
- Tianjin Cancer Institute, National Clinical Research Center for Cancer, Key Laboratory of Molecular Cancer Epidemiology of Tianjin, Tianjin’s Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University
- Yichen Yang
- Tianjin Cancer Institute, National Clinical Research Center for Cancer, Key Laboratory of Molecular Cancer Epidemiology of Tianjin, Tianjin’s Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University
- Xuexi Guo
- Department of Pathology, Tianjin First Central Hospital
- Zhibin Li
- Department of Gastroenterology and Hepatobiliary Surgery, People’s First Hospital of Shangqiu
- Jia Liu
- Department of Colorectal Cancer, National Clinical Research Center for Cancer, Key Laboratory of Molecular Cancer Epidemiology of Tianjin, Tianjin’s Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University
- Jiefu Wang
- Department of Colorectal Cancer, National Clinical Research Center for Cancer, Key Laboratory of Molecular Cancer Epidemiology of Tianjin, Tianjin’s Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University
- Junfeng Wang
- Department of Colorectal Cancer, National Clinical Research Center for Cancer, Key Laboratory of Molecular Cancer Epidemiology of Tianjin, Tianjin’s Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University
- Bangmao Wang
- Department of Gastroenterology, General Hospital of Tianjin Medical University, Tianjin Medical University
- Guoliang Zhang
- Department of Digestion and Endoscopy, Tianjin First Central Hospital
- Baocun Sun
- Department of Pathology, National Clinical Research Center for Cancer, Key Laboratory of Molecular Cancer Epidemiology of Tianjin, Tianjin’s Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University
- Wei Zhang
- Wake Forest Baptist Comprehensive Cancer Center, Wake Forest Baptist Medical Center
- Dalu Kong
- Department of Colorectal Cancer, National Clinical Research Center for Cancer, Key Laboratory of Molecular Cancer Epidemiology of Tianjin, Tianjin’s Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University
- Kexin Chen
- Department of Epidemiology and Biostatistics, National Clinical Research Center for Cancer, Key Laboratory of Molecular Cancer Epidemiology of Tianjin, Tianjin’s Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin Medical University
- Xiangchun Li
- Tianjin Cancer Institute, National Clinical Research Center for Cancer, Key Laboratory of Molecular Cancer Epidemiology of Tianjin, Tianjin’s Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University
- DOI
- https://doi.org/10.1038/s41467-020-16777-6
- Journal volume & issue
-
Vol. 11,
no. 1
pp. 1 – 9
Abstract
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.
