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Jun Shimazaki
Keio University - Department of Ophthalmology
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SCHOLARLY PAPERS
1
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Scholarly Papers (1)
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1.
Artificial Intelligence to Estimate the Tear Film Breakup Time and Diagnose Dry Eye Disease
Number of pages: 20
Posted: 22 Nov 2022
Eisuke Shimizu
,
Toshiki Ishikawa
,
Makoto Tanji
,
Naomichi Agata
,
Shintato Nakayama
,
Yo Nakahara
,
Ryota Yokoiwa M Eng
,
Shinri Sato
,
Akiko Hanyuda
,
Yoko Ogawa
,
Masatoshi Hirayama
,
Kazuo Tsubota
,
Yasunori Sato
, Jun Shimazaki and
Kazuno Negishi
Keio University - Department of Ophthalmology, Keio University - Department of Ophthalmology, Keio University - Department of Ophthalmology, OUI, Inc, Keio University - Department of Ophthalmology, OUI, Inc, OUI, Inc, Keio University - Department of Ophthalmology, Keio University - Department of Ophthalmology, Keio University - Department of Ophthalmology, Keio University - Department of Ophthalmology, Keio University - Department of Ophthalmology, Keio University - Department of Preventive Medicine and Public Health, Keio University - Department of Ophthalmology and Keio University - Department of Ophthalmology
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Abstract:
Dry eye disease, innovation, mobile device, Smart eye camera, telemedicine, tear film break-up time
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