Volume 12 Issue 5
Sep.  2021
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Article Contents
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. Procedures of Establishing a Well-annotated Database of Color Fundus Photography of Diabetic Retinopathy for Artificial Intelligence Research[J]. Medical Journal of Peking Union Medical College Hospital, 2021, 12(5): 684-688. doi: 10.12290/xhyxzz.2021-0613
Citation: 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. Procedures of Establishing a Well-annotated Database of Color Fundus Photography of Diabetic Retinopathy for Artificial Intelligence Research[J]. Medical Journal of Peking Union Medical College Hospital, 2021, 12(5): 684-688. doi: 10.12290/xhyxzz.2021-0613

Procedures of Establishing a Well-annotated Database of Color Fundus Photography of Diabetic Retinopathy for Artificial Intelligence Research

doi: 10.12290/xhyxzz.2021-0613
Funds:

The Non-profit Central Research Institute Fund of Chinese Academy of Medical Sciences 2018PT32029

CAMS Innovation Fund for Medical Sciences 2018-I2M-AI-001

Pharmaceutical Collaborative Innovation Research Project of Beijing Science and Technology Commission Z191100007719002

Pharmaceutical Collaborative Innovation Research Project of Beijing Science and Technology Commission L192062

Beijing Tianjin Hebei Basic Research Cooperation Project J200006

More Information
  • Corresponding author: CHEN Youxin  Tel: 86-10-69156351, E-mail: chenyouxinpumch@163.com
  • Received Date: 2021-08-25
  • Accepted Date: 2021-09-06
  • Available Online: 2021-09-15
  • Publish Date: 2021-09-30
  • 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.
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