Deep Learning for Automated Diabetic Retinopathy Screening Fused With Heterogeneous Data From EHRs Can Lead to Earlier Referral Decisions
Author(s) -
MinYen Hsu,
Jeng-Yuan Chiou,
Jung-Tzu Liu,
Chee-Ming Lee,
Ya-Wen Lee,
ChienChih Chou,
Shih-Chang Lo,
Edy Kornelius,
Yi-Sun Yang,
Sung-Yen Chang,
Yu-Cheng Liu,
Chien-Ning Huang,
Vincent S. Tseng
Publication year - 2021
Publication title -
translational vision science and technology
Language(s) - English
Resource type - Journals
ISSN - 2164-2591
DOI - 10.1167/tvst.10.9.18
Subject(s) - medicine , referral , diabetic retinopathy , fundus (uterus) , artificial intelligence , deep learning , machine learning , computer science , health records , optometry , ophthalmology , family medicine , diabetes mellitus , health care , endocrinology , economic growth , economics
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