Forecasting Progressive Trends in Keratoconus by Means of a Time Delay Neural Network

Early and accurate detection of keratoconus progression is particularly important for the prudent, cost-effective use of corneal cross-linking and judicious timing of clinical follow-up visits. The aim of this study was to verify whether a progression could be predicted based on two prior tomography...

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Detalles Bibliográficos
Autores principales: Jiménez-García, Marta, Issarti, Ikram, Kreps, Elke O., Ní Dhubhghaill, Sorcha, Koppen, Carina, Varssano, David, Rozema, Jos J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8347247/
https://www.ncbi.nlm.nih.gov/pubmed/34362023
http://dx.doi.org/10.3390/jcm10153238

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8347247/
https://www.ncbi.nlm.nih.gov/pubmed/34362023
http://dx.doi.org/10.3390/jcm10153238

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