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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Detalhes bibliográficos
Publicado no:JAMA
Main Authors: 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
Formato: Artigo
Idioma:Inglês
Publicado em: American Medical Association 2017
Assuntos:
Original Investigation
Acesso em linha: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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