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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 |
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| Autori principali: | , , , , , , , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2020
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| Soggetti: | |
| 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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