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

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 BR...

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Bibliographic Details
Main Authors: Daisuke Nagasato, Hitoshi Tabuchi, Hideharu Ohsugi, Hiroki Masumoto, Hiroki Enno, Naofumi Ishitobi, Tomoaki Sonobe, Masahiro Kameoka, Masanori Niki, Yoshinori Mitamura
Format: Article
Language:English
Published: Press of International Journal of Ophthalmology (IJO PRESS) 2019-01-01
Series:International Journal of Ophthalmology
Subjects:
automatic diagnosis
branch retinal vein occlusion
deep learning
machine-learning technology
ultrawide-field fundus ophthalmoscopy
Online Access:http://www.ijo.cn/en_publish/2019/1/20190115.pdf

Internet

http://www.ijo.cn/en_publish/2019/1/20190115.pdf

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