Correction to: Automatic differentiation of Glaucoma visual field from non-glaucoma visual field using deep convolutional neural network (BMC Medical Imaging (2018) 18: 35 DOI: 10.1186/s12880-018-0273-5);Automatic differentiation of Glaucoma visual field from non-glaucoma visual filed using deep convolutional neural network

BMC Medical Imaging

Volumn 18, Issue 1, 2018, Pages

  Li, Fei ^a   Wang, Zhe ^d   Qu, Guoxiang ^b   Song, Diping ^b   Yuan, Ye ^a,e   Xu, Yang ^c   Gao, Kai ^a   Luo, Guangwei ^a   Xiao, Zegu ^b   Lam, Dennis S C ^e   Zhong, Hua ^c   Qiao, Yu ^b   Zhang, Xiulan ^a  

^a SUN YAT SEN UNIVERSITY   (China)

^b SHENZHEN INSTITUTES OF ADVANCED TECHNOLOGY   (China)

^c KUNMING MEDICAL UNIVERSITY   (China)

^d SENSETIME RESEARCH   (China)

^e C Mer (Shenzhen) Dennis Lam Eye Hospital   (China)

Author keywords

Deep learning; Glaucoma; Visual field

Indexed keywords

ADULT; AGED; CLINICAL TRIAL; FEMALE; GLAUCOMA; HUMAN; MACHINE LEARNING; MIDDLE AGED; MULTICENTER STUDY; PERIMETRY; PROCEDURES; REPRODUCIBILITY;

ADULT; AGED; FEMALE; GLAUCOMA; HUMANS; MACHINE LEARNING; MIDDLE AGED; REPRODUCIBILITY OF RESULTS; VISUAL FIELD TESTS;

EID: 85054441678     PISSN: None     EISSN: 14712342     Source Type: Journal    
DOI: 10.1186/s12880-019-0339-z     Document Type: Erratum

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