Accuracy of deep learning, a machine learning technology, using ultra-wide-field fundus ophthalmoscopy for detecting idiopathic macular holes

Accuracy of deep learning, a machine learning technology, using ultra-wide-field fundus ophthalmoscopy for detecting idiopathic macular holes

We aimed to investigate the detection of idiopathic macular holes (MHs) using ultra-wide-field fundus images (Optos) with deep learning, which is a machine learning technology. The study included 910 Optos color images (715 normal images, 195 MH images). Of these 910 images, 637 were learning images...

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Bibliographic Details
Main Authors: Toshihiko Nagasawa, Hitoshi Tabuchi, Hiroki Masumoto, Hiroki Enno, Masanori Niki, Hideharu Ohsugi, Yoshinori Mitamura
Format: Article
Language:English
Published: PeerJ Inc. 2018-10-01
Series:PeerJ
Subjects:
Wide-angle ocular fundus camera
Macular holes
Deep learning
Optos
Convolutional neural network
Algorithm
Online Access:https://peerj.com/articles/5696.pdf

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https://peerj.com/articles/5696.pdf

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