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Erschienen in: BMC Medical Imaging 1/2019

Open Access 01.12.2019 | Correction

Correction to: Automatic differentiation of Glaucoma visual field from non-glaucoma visual field using deep convolutional neural network

verfasst von: Fei Li, Zhe Wang, Guoxiang Qu, Diping Song, Ye Yuan, Yang Xu, Kai Gao, Guangwei Luo, Zegu Xiao, Dennis S. C. Lam, Hua Zhong, Yu Qiao, Xiulan Zhang

Erschienen in: BMC Medical Imaging | Ausgabe 1/2019

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Fei Li, Zhe Wang and Guoxiang Qu contributed equally to this work.
The original article can be found online at https://​doi.​org/​10.​1186/​s12880-018-0273-5
Correction to: BMC Med Imaging (2018) 18: 35
https://doi.org/10.1186/s12880-018-0273-5
In the original version of this article [1], published on 4 October 2018, there was an error in the article title. The title of the original publication is: “Automatic differentiation of Glaucoma visual field from non-glaucoma visual filed using deep convolutional neural network”, however, the correct title should be: “Automatic differentiation of Glaucoma visual field from non-glaucoma visual field using deep convolutional neural network”, as presented in the title of this Correction article.
The same error appears in the Background section of the Abstract. "To develop a deep neural network able to differentiate glaucoma from non-glaucoma visual fields based on visual filed (VF) test results, we collected VF tests from 3 different ophthalmic centers in mainland China" should instead read: "To develop a deep neural network able to differentiate glaucoma from non-glaucoma visual fields based on visual field (VF) test results, we collected VF tests from 3 different ophthalmic centers in mainland China".
Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://​creativecommons.​org/​licenses/​by/​4.​0/​), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://​creativecommons.​org/​publicdomain/​zero/​1.​0/​) applies to the data made available in this article, unless otherwise stated.
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Correction to: Automatic differentiation of Glaucoma visual field from non-glaucoma visual field using deep convolutional neural network
verfasst von
Fei Li
Zhe Wang
Guoxiang Qu
Diping Song
Ye Yuan
Yang Xu
Kai Gao
Guangwei Luo
Zegu Xiao
Dennis S. C. Lam
Hua Zhong
Yu Qiao
Xiulan Zhang
Publikationsdatum
01.12.2019
Verlag
BioMed Central
Erschienen in
BMC Medical Imaging / Ausgabe 1/2019
Elektronische ISSN: 1471-2342
DOI
https://doi.org/10.1186/s12880-019-0339-z

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