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

Autores		Barros, Daniele M. S.; Moura, Julio C. C.; Freire, Cefas R.; Taleb, Alexandre C.; Valentim, Ricardo Alexsandro de Medeiros; Morais, Philippi Sedir Grilo de
Editor		Biomedical Engineering Online
Data		2020-04-15
Palavras-chave		Machine learning Deep learning Retinal image processing Glaucoma Classifcation
Citação		BARROS, DANIELE M. S.; MOURA, JULIO C. C.; FREIRE, CEFAS R.; TALEB, ALEXANDRE C.; VALENTIM, RICARDO A. M.; MORAIS, PHILIPPI S. G.. Machine learning applied to retinal image processing for glaucoma detection: review and perspective. Biomedical Engineering Online, v. 19, p. 20, 2020. Disponível em: https://biomedical-engineering-online.biomedcentral.com/articles/10.1186/s12938-020-00767-2. Acesso em: 10 Junho 2020. https://doi.org/10.1186/s12938-020-00767-2.
Resumo
URI		https://repositorio.ufrn.br/jspui/handle/123456789/29248