Automated tear film break-up time measurement for dry eye diagnosis using deep learning
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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1 Online-Ressource.
- Sprache
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Englisch
- Erschienen in
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Automated tear film break-up time measurement for dry eye diagnosis using deep learning ; volume:14 ; number:1 ; day:22 ; month:5 ; year:2024 ; pages:1-10 ; date:12.2024
Scientific reports ; 14, Heft 1 (22.5.2024), 1-10, 12.2024
- Urheber
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El Barche, Fatima-Zahra
Benyoussef, Anas-Alexis
El Habib Daho, Mostafa
Lamard, Antonin
Quellec, Gwenolé
Cochener, Béatrice
Lamard, Mathieu
- Beteiligte Personen und Organisationen
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SpringerLink (Online service)
- DOI
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10.1038/s41598-024-62636-5
- URN
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urn:nbn:de:101:1-2408011356441.496326306956
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
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14.08.2025, 10:50 MESZ
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Beteiligte
- El Barche, Fatima-Zahra
- Benyoussef, Anas-Alexis
- El Habib Daho, Mostafa
- Lamard, Antonin
- Quellec, Gwenolé
- Cochener, Béatrice
- Lamard, Mathieu
- SpringerLink (Online service)
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Assessment of the correlation of the tear breakup time with quality of vision and dry eye symptoms after SMILE surgery
Relation between dry eye and myopia based on tear film breakup time, higher order aberration, choroidal thickness, and axial length
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Effects of aerobic exercise on tear secretion and tear film stability in dry eye patients
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Effects of aerobic exercise on tear secretion and tear film stability in dry eye patients
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