Diabetic retinopathy classification for supervised machine learning algorithms

BACKGROUND: Artificial intelligence and automated technology were first reported more than 70 years ago and nowadays provide unprecedented diagnostic accuracy, screening capacity, risk stratification, and workflow optimization. Diabetic retinopathy is an important cause of preventable blindness worl...

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Detalles Bibliográficos
Autores principales: Nakayama, Luis Filipe, Ribeiro, Lucas Zago, Gonçalves, Mariana Batista, Ferraz, Daniel A., dos Santos, Helen Nazareth Veloso, Malerbi, Fernando Korn, Morales, Paulo Henrique, Maia, Mauricio, Regatieri, Caio Vinicius Saito, Mattos, Rubens Belfort
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Commentary
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8722080/
https://www.ncbi.nlm.nih.gov/pubmed/34980281
http://dx.doi.org/10.1186/s40942-021-00352-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8722080/
https://www.ncbi.nlm.nih.gov/pubmed/34980281
http://dx.doi.org/10.1186/s40942-021-00352-2

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