In this study, we evaluated the diagnostic performance of an automated artificial intelligence-based diabetic retinopathy (DR) algorithm with two retinal imaging systems using two different technologies: a conventional flash fundus camera and a white LED confocal scanner.
Automated diabetic retinopathy detection with two different retinal imaging devices using artificial intelligence: a comparison study
Valentina SaraoCo-primo
;Daniele VerittiCo-primo
;Paolo Lanzetta
Ultimo
2020-01-01
Abstract
In this study, we evaluated the diagnostic performance of an automated artificial intelligence-based diabetic retinopathy (DR) algorithm with two retinal imaging systems using two different technologies: a conventional flash fundus camera and a white LED confocal scanner.File in questo prodotto:
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