Deep Learning for Anterior Segment Optical Coherence Tomography to Predict the Presence of Plateau Iris

PURPOSE: The purpose of this study was to evaluate the diagnostic performance of deep learning (DL) anterior segment optical coherence tomography (AS-OCT) as a plateau iris prediction model. DESIGN: We used a cross-sectional study of the development and validation of the DL system. METHODS: We condu...

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Detalles Bibliográficos
Autores principales: Wanichwecharungruang, Boonsong, Kaothanthong, Natsuda, Pattanapongpaiboon, Warisara, Chantangphol, Pantid, Seresirikachorn, Kasem, Srisuwanporn, Chaniya, Parivisutt, Nucharee, Grzybowski, Andrzej, Theeramunkong, Thanaruk, Ruamviboonsuk, Paisan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Association for Research in Vision and Ophthalmology 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7794268/
https://www.ncbi.nlm.nih.gov/pubmed/33505774
http://dx.doi.org/10.1167/tvst.10.1.7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7794268/
https://www.ncbi.nlm.nih.gov/pubmed/33505774
http://dx.doi.org/10.1167/tvst.10.1.7

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