Predicting Keratoconus Progression and Need for Corneal Crosslinking Using Deep Learning

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<sup>®</sup> (Oculus, Wetzlar, Germany) of 158 keratoconus patients were examined. All patients wer...

Full description

Bibliographic Details
Main Authors: Naoko Kato, Hiroki Masumoto, Mao Tanabe, Chikako Sakai, Kazuno Negishi, Hidemasa Torii, Hitoshi Tabuchi, Kazuo Tsubota
Format: Article
Language:English
Published: MDPI AG 2021-02-01
Series:Journal of Clinical Medicine
Subjects:
keratoconus
progression
deep learning
prediction
corneal crosslinking
tomography
Online Access:https://www.mdpi.com/2077-0383/10/4/844

Internet

https://www.mdpi.com/2077-0383/10/4/844

Similar Items