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

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

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.This study included 237 images from 236 patients with BRVO with a mean±s...

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Bibliografiske detaljer
Main Authors: Daisuke Nagasato, Hitoshi Tabuchi, Hideharu Ohsugi, Hiroki Masumoto, Hiroki Enno, Naofumi Ishitobi, Tomoaki Sonobe, Masahiro Kameoka, Masanori Niki, Yoshinori Mitamura
Format: Artigo
Sprog:engelsk
Udgivet: 2019
Online adgang:https://doi.org/10.18240/ijo.2019.01.15
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https://doi.org/10.18240/ijo.2019.01.15

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