Accuracy of Machine Learning Assisted Detection of Keratoconus: A Systematic Review and Meta-Analysis

(1) Background: The objective of this review was to synthesize available data on the use of machine learning to evaluate its accuracy (as determined by pooled sensitivity and specificity) in detecting keratoconus (KC), and measure reporting completeness of machine learning models in KC based on TRIP...

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Detalles Bibliográficos
Autores principales: Cao, Ke, Verspoor, Karin, Sahebjada, Srujana, Baird, Paul N.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8836961/
https://www.ncbi.nlm.nih.gov/pubmed/35159930
http://dx.doi.org/10.3390/jcm11030478

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8836961/
https://www.ncbi.nlm.nih.gov/pubmed/35159930
http://dx.doi.org/10.3390/jcm11030478

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