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...

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Detalles Bibliográficos
Autores principales: Sramka, Martin, Slovak, Martin, Tuckova, Jana, Stodulka, Pavel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2019
Materias:
Bioengineering
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6611496/
https://www.ncbi.nlm.nih.gov/pubmed/31304064
http://dx.doi.org/10.7717/peerj.7202

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6611496/
https://www.ncbi.nlm.nih.gov/pubmed/31304064
http://dx.doi.org/10.7717/peerj.7202

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