Predicting Keratoconus Progression and Need for Corneal Crosslinking Using Deep Learning

We aimed to predict keratoconus progression and the need for corneal crosslinking (CXL) using deep learning (DL). Two hundred and seventy-four corneal tomography images taken by Pentacam HR(®) (Oculus, Wetzlar, Germany) of 158 keratoconus patients were examined. All patients were examined two times...

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Detalles Bibliográficos
Autores principales: Kato, Naoko, Masumoto, Hiroki, Tanabe, Mao, Sakai, Chikako, Negishi, Kazuno, Torii, Hidemasa, Tabuchi, Hitoshi, Tsubota, Kazuo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7923054/
https://www.ncbi.nlm.nih.gov/pubmed/33670732
http://dx.doi.org/10.3390/jcm10040844

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7923054/
https://www.ncbi.nlm.nih.gov/pubmed/33670732
http://dx.doi.org/10.3390/jcm10040844

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