Automated detection of early-stage ROP using a deep convolutional neural network

BACKGROUND/AIM: To automatically detect and classify the early stages of retinopathy of prematurity (ROP) using a deep convolutional neural network (CNN). METHODS: This retrospective cross-sectional study was conducted in a referral medical centre in Taiwan. Only premature infants with no ROP, stage...

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Pubblicato in:Br J Ophthalmol
Autori principali: Huang, Yo-Ping, Basanta, Haobijam, Yu-Chuan Kang, Eugene, Chen, Kuan-Jen, Hwang, Yih-Shiou, Lai, Chi-Chun, Campbell, John P, Chiang, Michael F, Paul Chan, Robison Vernon, Kusaka, Shunji, Fukushima, Yoko, Wu, Wei-Chi
Natura: Artigo
Lingua:Inglês
Pubblicazione: 2020
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Article
Accesso online:https://ncbi.nlm.nih.gov/pmc/articles/PMC7900257/
https://ncbi.nlm.nih.gov/pubmed/32830123
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1136/bjophthalmol-2020-316526
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