A self-adaptive deep learning method for automated eye laterality detection based on color fundus photography

• Chi Liu,

  Roles Conceptualization, Formal analysis, Methodology, Project administration, Software, Writing – original draft

  Affiliations State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China, School of Computer Science, University of Technology, Sydney, Australia

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• Xiaotong Han,

  Roles Conceptualization, Methodology, Writing – original draft, Writing – review & editing

  Affiliation State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China

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• Zhixi Li,

  Roles Resources, Writing – review & editing

  Affiliation State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China

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• Jason Ha,

  Roles Writing – review & editing

  Affiliation Faculty of Medicine, Nursing and Health Sciences, Monash University, Clayton, Australia

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• Guankai Peng,

  Roles Formal analysis, Methodology

  Affiliation Guangzhou Healgoo Interactive Medical Technology Co. Ltd., Guangzhou, China

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• Wei Meng,

  Roles Methodology, Supervision, Writing – review & editing

  Affiliation Guangzhou Healgoo Interactive Medical Technology Co. Ltd., Guangzhou, China

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• Mingguang He

  Roles Conceptualization, Funding acquisition, Methodology, Supervision, Writing – review & editing

  * E-mail: mingguang_he@yahoo.com

  Affiliations State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China, Centre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, Melbourne, Australia, Ophthalmology, Department of Surgery, University of Melbourne, Melbourne, Australia

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