Xiehe Yixue Zazhi (Sep 2021)
Procedures of Establishing a Well-annotated Database of Color Fundus Photography of Diabetic Retinopathy for Artificial Intelligence Research
- YU Weihong,
- ZHANG Xiao,
- WU Chan,
- CHEN Huan,
- YANG Zhikun,
- HE Feng,
- ZHANG Zhiqiao,
- ZHANG Bilei,
- GONG Di,
- WANG Yuelin,
- YANG Jingyuan,
- LI Bing,
- SUN Yanyuan,
- MA Yajing,
- LU Huiqin,
- XIA Wei,
- ZHOU Wei,
- ZHANG Donglei,
- PAN Qingmin,
- YANG Ning,
- WANG Shuna,
- SUN Xiaolei,
- YU Ying,
- SU Chang,
- WAN Bo,
- WANG Mingqi,
- WANG Min,
- CHEN Youxin
Affiliations
- YU Weihong
- Key Laboratory of Ocular Fundus Diseases, Chinese Academy of Medical Sciences; Department of Ophthalmology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
- ZHANG Xiao
- Key Laboratory of Ocular Fundus Diseases, Chinese Academy of Medical Sciences; Department of Ophthalmology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
- WU Chan
- Key Laboratory of Ocular Fundus Diseases, Chinese Academy of Medical Sciences; Department of Ophthalmology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
- CHEN Huan
- Key Laboratory of Ocular Fundus Diseases, Chinese Academy of Medical Sciences; Department of Ophthalmology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
- YANG Zhikun
- Key Laboratory of Ocular Fundus Diseases, Chinese Academy of Medical Sciences; Department of Ophthalmology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
- HE Feng
- Key Laboratory of Ocular Fundus Diseases, Chinese Academy of Medical Sciences; Department of Ophthalmology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
- ZHANG Zhiqiao
- Key Laboratory of Ocular Fundus Diseases, Chinese Academy of Medical Sciences; Department of Ophthalmology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
- ZHANG Bilei
- Key Laboratory of Ocular Fundus Diseases, Chinese Academy of Medical Sciences; Department of Ophthalmology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
- GONG Di
- Department of Ophthalmology, China-Japan Friendship Hospital, Beijing 100029, China
- WANG Yuelin
- Key Laboratory of Ocular Fundus Diseases, Chinese Academy of Medical Sciences; Department of Ophthalmology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
- YANG Jingyuan
- Key Laboratory of Ocular Fundus Diseases, Chinese Academy of Medical Sciences; Department of Ophthalmology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
- LI Bing
- Key Laboratory of Ocular Fundus Diseases, Chinese Academy of Medical Sciences; Department of Ophthalmology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
- SUN Yanyuan
- Key Laboratory of Ocular Fundus Diseases, Chinese Academy of Medical Sciences; Department of Ophthalmology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
- MA Yajing
- Key Laboratory of Ocular Fundus Diseases, Chinese Academy of Medical Sciences; Department of Ophthalmology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
- LU Huiqin
- Department of Ophthalmology, Xi'an NO.1 Hospital, Xi'an 710002, China
- XIA Wei
- Department of Ophthalmology, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu 215006, China
- ZHOU Wei
- Department of Ophthalmology, Tianjin Medical University General Hospital, Tianjin 300052, China
- ZHANG Donglei
- Department of Ophthalmology, The First Hospital of Shanxi Medical University, Taiyuan 030001, China
- PAN Qingmin
- Department of Ophthalmology, The Second Affiliated Hospital of Shandong First Medical University, Tai'an, Shandong 271016, China
- YANG Ning
- Department of Ophthalmology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu 221004, China
- WANG Shuna
- Ophthalmology Center, Affiliated Hospital of Weifang Medical College, Weifang, Shandong 261035, China
- SUN Xiaolei
- Eye Hospital of Shandong First Medical University, Jinan 250021, China
- YU Ying
- Department of Ophthalmology, The Forth Hospital of Harbin Medical university, Harbin 150001, China
- SU Chang
- Department of Ophthalmology, The Affiliated Hospital of Chengde Medical College, Chengde, Hebei 067020, China
- WAN Bo
- Department of Ophthalmology, Beijing Luhe Hospital, Capital Medical University, Beijing 101199, China
- WANG Mingqi
- Department of Ophthalmology, The First People's Hospital of Pingdingshan, Pingdingshan, Henan 467099, China
- WANG Min
- Department of Ophthalmology, The First People's Hospital of Xianyang, Xianyang, Shaanxi 712099, China
- CHEN Youxin
- Key Laboratory of Ocular Fundus Diseases, Chinese Academy of Medical Sciences; Department of Ophthalmology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
- DOI
- https://doi.org/10.12290/xhyxzz.2021-0613
- Journal volume & issue
-
Vol. 12,
no. 5
pp. 684 – 688
Abstract
With the development of artificial intelligence technology, explosive research on the recognition of retina diseases with artificial intelligence was published worldwide, among which, diabetic retinopathy attracted most attention. However, evaluation of different artificial intelligence software remains a problem. The Department of Ophthalmology, Peking Union Medical College Hospital published the first standard well-annotated color photo database of diabetic retinopathy for artificial intelligence research in China. We herein present the procedures for the establishment of the database and aim to provide reference for the future development of similar databases.
Keywords
