Issue 5
Nov 2021
Turn off MathJax
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]. JOURNAL OF MECHANICAL ENGINEERING, 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]. JOURNAL OF MECHANICAL ENGINEERING, 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: 25 Aug 2021
  • Accepted Date: 06 Sep 2021
  • Available Online: 26 Nov 2021
  • Publish Date: 15 Sep 2021
  • Issue Publish Date: 30 Sep 2021
  • 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.

     

  • loading
  • [1]
    王亚星, 薛灿灿, 李建军. 眼科人工智能研究存在的主要问题及对策[J]. 眼科, 2021, 30: 81-84. https://www.cnki.com.cn/Article/CJFDTOTAL-YAKE202102004.htm
    [2]
    U.S. Food and Drug Administration. FDA permits marketing of artificial intelligence-based device to detect certain diabetes-related eye problems[EB/OL]. (2018-04-11)[2021-08-21]. https://www.fda.gov/news-events/press-announcements/fda-permits-marketing-artificial-intelligence-based-device-detect-certain-diabetes-related-eye.
    [3]
    Gulshan V, Peng L, Coram M, et al. Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs[J]. JAMA, 2016, 316: 2402-2410. doi: 10.1001/jama.2016.17216
    [4]
    中华医学会眼科学会眼底病学组. 我国糖尿病视网膜病变临床诊疗指南(2014年)[J]. 中华眼科杂志, 2014, 50: 851-865. doi: 10.3760/cma.j.issn.0412-4081.2014.11.014
    [5]
    Rivera SC, Liu X, Chan AW, et al. Guidelines for clinical trial protocols for interventions involving artificial intelligence: the SPIRIT-AI extension[J]. Nat Med, 2020, 26: 1351-1363. doi: 10.1038/s41591-020-1037-7
  • 加载中

Catalog

    Figures(1)

    Article Metrics

    Article views(212) PDF downloads(0) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return