Predicting Visual Improvement After Macular Hole Surgery: A Combined Model Using Deep Learning and Clinical Features

PURPOSE: The purpose of this study was to assess the feasibility of deep learning (DL) methods to enhance the prediction of visual acuity (VA) improvement after macular hole (MH) surgery from a combined model using DL on high-definition optical coherence tomography (HD-OCT) B-scans and clinical feat...

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Detalles Bibliográficos
Autores principales: Lachance, Alexandre, Godbout, Mathieu, Antaki, Fares, Hébert, Mélanie, Bourgault, Serge, Caissie, Mathieu, Tourville, Éric, Durand, Audrey, Dirani, Ali
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Association for Research in Vision and Ophthalmology 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8994199/
https://www.ncbi.nlm.nih.gov/pubmed/35385045
http://dx.doi.org/10.1167/tvst.11.4.6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8994199/
https://www.ncbi.nlm.nih.gov/pubmed/35385045
http://dx.doi.org/10.1167/tvst.11.4.6

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