Using Machine Learning to Monitor Keratoconus Progression
- 1 December 2019
- journal article
- letter
- Published by American Medical Association (AMA) in JAMA Ophthalmology
- Vol. 137 (12) , 1467-1468
Abstract
To the Editor We read the article by Wisse et al with great interest. We believe it is important to define keratoconus progression to optimize patient selectionKeywords
This publication has 4 references indexed in Scilit:
- Clinical Evaluation and Validation of the Dutch Crosslinking for Keratoconus ScoreJAMA Ophthalmology, 2019
- A New Scoring System for Progressive KeratoconusJAMA Ophthalmology, 2019
- KeratoDetect: Keratoconus Detection Algorithm Using Convolutional Neural NetworksComputational Intelligence and Neuroscience, 2019
- Keratoconus severity identification using unsupervised machine learningPLOS ONE, 2018