Development of a deep residual learning algorithm to screen for glaucoma from fundus photography

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言語	英語
著者	Shibata Naoto Queue inc, Tokyo, Japan 谷戸正樹 Mitsuhashi Keita Queue inc, Tokyo, Japan Fujino Yuri Department of Ophthalmology, The University of Tokyo, Tokyo, Japan Department of Ophthalmology, Graduate School of Medical Science, Kitasato University, Sagamihara Kanagawa, Japan Matsuura Masato Department of Ophthalmology, The University of Tokyo, Tokyo, Japan Department of Ophthalmology, Graduate School of Medical Science, Kitasato University, Sagamihara Kanagawa, Japan Murata Hiroshi Department of Ophthalmology, The University of Tokyo, Tokyo, Japan Asaoka Ryo Department of Ophthalmology, The University of Tokyo, Tokyo, Japan
掲載誌名	SCIENTIFIC REPORTS
巻	8
ISSN	2045-2322
発行日	2018-10-2
DOI	10.1038/s41598-018-33013-w
PubMed ID	30279554
出版者	NATURE PUBLISHING GROUP
資料タイプ	学術雑誌論文
部局	医学部
備考	Supported by Grant 17K11418 from the Ministry of Education, Culture, Sports, Science and Technology of Japan and the Translational Research program; Strategic PRomotion for practical application of INnovative medical Technology, TR-SPRINT, from Japan Agency for Medical Research and Development, AMED. This research is (partially) supported by The Translational Research program; Strategic PRomotion for practical application of INnovative medical Technology, TR-SPRINT, from Japan Agency for Medical Research and Development, AMED, Grant 17K11418 from the Ministry of Education, Culture, Sports, Science, and Technology of Japan and Japan Science and Technology Agency (JST) CREST JPMJCR1304.