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pro vyhledávání: '"Charumathi Sabayanagam, PhD"'
Autor:
Tyler Hyungtaek Rim, MD, Geunyoung Lee, BS, Youngnam Kim, MSc, Yih-Chung Tham, PhD, Chan Joo Lee, MD, Su Jung Baik, MD, Young Ah Kim, PhD, Marco Yu, PhD, Mihir Deshmukh, MSc, Byoung Kwon Lee, ProfMD, Sungha Park, ProfMD, Hyeon Chang Kim, ProfMD, Charumathi Sabayanagam, PhD, Daniel S W Ting, MD, Ya Xing Wang, MD, Jost B Jonas, ProfMD, Sung Soo Kim, MD, Tien Yin Wong, ProfMD, Ching-Yu Cheng, ProfMD
Publikováno v:
The Lancet: Digital Health, Vol 2, Iss 10, Pp e526-e536 (2020)
Summary: Background: The application of deep learning to retinal photographs has yielded promising results in predicting age, sex, blood pressure, and haematological parameters. However, the broader applicability of retinal photograph-based deep lear
Externí odkaz:
https://doaj.org/article/b5f8cad42eb84d65bf1b2323da861029
