Comparison of Autonomous AS-OCT Deep Learning Algorithm and Clinical Dry Eye Tests in Diagnosis of Dry Eye Disease

OBJECTIVE: To evaluate a deep learning-based method to autonomously detect dry eye disease (DED) in anterior segment optical coherence tomography (AS-OCT) images compared to common clinical dry eye tests. METHODS: In this study, 27,180 AS-OCT images were prospectively collected from 151 eyes of 91 p...

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Detalles Bibliográficos
Autores principales: Chase, Collin, Elsawy, Amr, Eleiwa, Taher, Ozcan, Eyup, Tolba, Mohamed, Abou Shousha, Mohamed
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2021
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8545140/
https://www.ncbi.nlm.nih.gov/pubmed/34707347
http://dx.doi.org/10.2147/OPTH.S321764

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8545140/
https://www.ncbi.nlm.nih.gov/pubmed/34707347
http://dx.doi.org/10.2147/OPTH.S321764

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