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 Sarao
Co-primo
;
Daniele Veritti
Co-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.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11390/1190017
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