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Deep-learning approach to detect childhood glaucoma based on periocular photograph.

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第一作者： Yoshiyuki,Kitaguchi

第一单位： Department of Ophthalmology, Osaka University Graduate School of Medicine, 2-2 Yamadaoka, Suita, Osaka, 565-0871, Japan. kitaguchi@ophthal.med.osaka-u.ac.jp.

作者： Yoshiyuki,Kitaguchi ^[1] ; Rina,Hayakawa ^[2] ; Rumi,Kawashima ^[3] ; Kenji,Matsushita ^[3] ; Hisashi,Tanaka ^[2] ; Ryo,Kawasaki ^[4] ; Takahiro,Fujino ^[3] ; Shinichi,Usui ^[3] ; Hiroshi,Shimojyo ^[3] ; Tomoyuki,Okazaki ^[3] ; Kohji,Nishida ^[5]

作者单位： Department of Ophthalmology, Osaka University Graduate School of Medicine, 2-2 Yamadaoka, Suita, Osaka, 565-0871, Japan. kitaguchi@ophthal.med.osaka-u.ac.jp. ^[1] Division of Health Science, Department of Medical Physics and Engineering, Osaka University Graduate School of Medicine, Osaka, Japan. ^[2] Department of Ophthalmology, Osaka University Graduate School of Medicine, 2-2 Yamadaoka, Suita, Osaka, 565-0871, Japan. ^[3] Department of Ophthalmology, Osaka University Graduate School of Medicine, 2-2 Yamadaoka, Suita, Osaka, 565-0871, Japan.;Artificial Intelligence Center for Medical Research and Application, Osaka University Hospital, Suita, Osaka, Japan. ^[4] Department of Ophthalmology, Osaka University Graduate School of Medicine, 2-2 Yamadaoka, Suita, Osaka, 565-0871, Japan.;Institute for Open and Transdisciplinary Research Initiatives (OTRI), Osaka University, Suita, Osaka, Japan. ^[5]

主题词人类(Humans);儿童(Child);回顾性研究(Retrospective Studies);青光眼(Glaucoma);ROC曲线(ROC Curve)

DOI 10.1038/s41598-023-37389-2

PMID 37349526

发布时间 2023-11-22

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准确一般字义偏差语意偏离译文作用小提交