Deep-learning classifier with ultrawide-field fundus ophthalmoscopy for detecting branch retinal vein occlusion

AIM: To investigate and compare the efficacy of two machine-learning technologies with deep-learning (DL) and support vector machine (SVM) for the detection of branch retinal vein occlusion (BRVO) using ultrawide-field fundus images. METHODS: This study included 237 images from 236 patients with BRV...

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Библиографические подробности
Опубликовано в: :Int J Ophthalmol
Главные авторы: Nagasato, Daisuke, Tabuchi, Hitoshi, Ohsugi, Hideharu, Masumoto, Hiroki, Enno, Hiroki, Ishitobi, Naofumi, Sonobe, Tomoaki, Kameoka, Masahiro, Niki, Masanori, Mitamura, Yoshinori
Формат: Artigo
Язык:Inglês
Опубликовано: International Journal of Ophthalmology Press 2019
Предметы:
Investigation
Online-ссылка:https://ncbi.nlm.nih.gov/pmc/articles/PMC6326931/
https://ncbi.nlm.nih.gov/pubmed/30662847
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.18240/ijo.2019.01.15
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