Improving clinical refractive results of cataract surgery by machine learning

Improving clinical refractive results of cataract surgery by machine learning

Aim To evaluate the potential of the Support Vector Machine Regression model (SVM-RM) and Multilayer Neural Network Ensemble model (MLNN-EM) to improve the intraocular lens (IOL) power calculation for clinical workflow. Background Current IOL power calculation methods are limited in their accuracy w...

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Bibliographic Details
Main Authors: Martin Sramka, Martin Slovak, Jana Tuckova, Pavel Stodulka
Format: Article
Language:English
Published: PeerJ Inc. 2019-07-01
Series:PeerJ
Subjects:
Machine learning
Cataract surgery
IOL calculation
Support vector machine
Artificial neural networks
Cataract
Online Access:https://peerj.com/articles/7202.pdf

Internet

https://peerj.com/articles/7202.pdf

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