Development and Validation of a Deep Learning System to Detect Glaucomatous Optic Neuropathy Using Fundus Photographs

IMPORTANCE: A deep learning system (DLS) that could automatically detect glaucomatous optic neuropathy (GON) with high sensitivity and specificity could expedite screening for GON. OBJECTIVE: To establish a DLS for detection of GON using retinal fundus images and glaucoma diagnosis with convoluted n...

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Dettagli Bibliografici
Pubblicato in:JAMA Ophthalmol
Autori principali: Liu, Hanruo, Li, Liu, Wormstone, I. Michael, Qiao, Chunyan, Zhang, Chun, Liu, Ping, Li, Shuning, Wang, Huaizhou, Mou, Dapeng, Pang, Ruiqi, Yang, Diya, Zangwill, Linda M., Moghimi, Sasan, Hou, Huiyuan, Bowd, Christopher, Jiang, Lai, Chen, Yihan, Hu, Man, Xu, Yongli, Kang, Hong, Ji, Xin, Chang, Robert, Tham, Clement, Cheung, Carol, Ting, Daniel Shu Wei, Wong, Tien Yin, Wang, Zulin, Weinreb, Robert N., Xu, Mai, Wang, Ningli
Natura: Artigo
Lingua:Inglês
Pubblicazione: American Medical Association 2019
Soggetti:
Original Investigation
Accesso online:https://ncbi.nlm.nih.gov/pmc/articles/PMC6743057/
https://ncbi.nlm.nih.gov/pubmed/31513266
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1001/jamaophthalmol.2019.3501
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