Keratoconus Diagnostic and Treatment Algorithms Based on Machine-Learning Methods

Keratoconus Diagnostic and Treatment Algorithms Based on Machine-Learning Methods

The accurate diagnosis of keratoconus, especially in its early stages of development, allows one to utilise timely and proper treatment strategies for slowing the progression of the disease and provide visual rehabilitation. Various keratometry indices and classifications for quantifying the severit...

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Bibliographic Details
Main Authors: Boris Malyugin, Sergej Sakhnov, Svetlana Izmailova, Ernest Boiko, Nadezhda Pozdeyeva, Lyubov Axenova, Kirill Axenov, Aleksej Titov, Anna Terentyeva, Tamriko Zakaraiia, Viktoriya Myasnikova
Format: Article
Language:English
Published: MDPI AG 2021-10-01
Series:Diagnostics
Subjects:
keratotopography
keratotomography
keratoconus
data visualisation
classification
machine learning
Online Access:https://www.mdpi.com/2075-4418/11/10/1933

Internet

https://www.mdpi.com/2075-4418/11/10/1933

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