Literature DB >> 31113391

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

Fei Li1, Zhe Wang2, Guoxiang Qu3, Diping Song3, Ye Yuan1,4, Yang Xu5, Kai Gao1, Guangwei Luo1, Zegu Xiao3, Dennis S C Lam4, Hua Zhong6, Yu Qiao7, Xiulan Zhang8.   

Abstract

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Entities:  

Year:  2019        PMID: 31113391      PMCID: PMC6530182          DOI: 10.1186/s12880-019-0339-z

Source DB:  PubMed          Journal:  BMC Med Imaging        ISSN: 1471-2342            Impact factor:   1.930


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 using deep convolutional neural network”, however, the correct title should be: “Automatic differentiation of Glaucoma visual field from non-glaucoma visual 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".
  1 in total

1.  A Multimodal Classification Architecture for the Severity Diagnosis of Glaucoma Based on Deep Learning.

Authors:  Sanli Yi; Gang Zhang; Chaoxu Qian; YunQing Lu; Hua Zhong; Jianfeng He
Journal:  Front Neurosci       Date:  2022-06-29       Impact factor: 5.152

  1 in total

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