Development and Validation of a Deep Learning System for Diabetic Retinopathy and Related Eye Diseases Using Retinal Images From Multiethnic Populations With Diabetes

IMPORTANCE: A deep learning system (DLS) is a machine learning technology with potential for screening diabetic retinopathy and related eye diseases. OBJECTIVE: To evaluate the performance of a DLS in detecting referable diabetic retinopathy, vision-threatening diabetic retinopathy, possible glaucom...

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Bibliografski detalji
Izdano u:JAMA
Glavni autori: Ting, Daniel Shu Wei, Cheung, Carol Yim-Lui, Lim, Gilbert, Tan, Gavin Siew Wei, Quang, Nguyen D., Gan, Alfred, Hamzah, Haslina, Garcia-Franco, Renata, San Yeo, Ian Yew, Lee, Shu Yen, Wong, Edmund Yick Mun, Sabanayagam, Charumathi, Baskaran, Mani, Ibrahim, Farah, Tan, Ngiap Chuan, Finkelstein, Eric A., Lamoureux, Ecosse L., Wong, Ian Y., Bressler, Neil M., Sivaprasad, Sobha, Varma, Rohit, Jonas, Jost B., He, Ming Guang, Cheng, Ching-Yu, Cheung, Gemmy Chui Ming, Aung, Tin, Hsu, Wynne, Lee, Mong Li, Wong, Tien Yin
Format: Artigo
Jezik:Inglês
Izdano: American Medical Association 2017
Teme:
Original Investigation
Online pristup:https://ncbi.nlm.nih.gov/pmc/articles/PMC5820739/
https://ncbi.nlm.nih.gov/pubmed/29234807
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1001/jama.2017.18152
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