Machine learning applied to retinal image processing for glaucoma detection: review and perspective

INTRODUCTION: This is a systematic review on the main algorithms using machine learning (ML) in retinal image processing for glaucoma diagnosis and detection. ML has proven to be a significant tool for the development of computer aided technology. Furthermore, secondary research has been widely cond...

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Detalles Bibliográficos
Autores principales: Barros, Daniele M. S., Moura, Julio C. C., Freire, Cefas R., Taleb, Alexandre C., Valentim, Ricardo A. M., Morais, Philippi S. G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7160894/
https://www.ncbi.nlm.nih.gov/pubmed/32293466
http://dx.doi.org/10.1186/s12938-020-00767-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7160894/
https://www.ncbi.nlm.nih.gov/pubmed/32293466
http://dx.doi.org/10.1186/s12938-020-00767-2

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