Deep Learning-Based Automated Detection of Retinal Breaks and Detachments on Fundus Photography
Merlin Christ,
Oussama Habra,
Killian Monnin
et al.
Abstract:The purpose of this study was to develop a deep learning algorithm, to detect retinal breaks and retinal detachments on ultra-widefield fundus (UWF) optos images using artificial intelligence (AI).
Methods:Optomap UWF images of the database were annotated to four groups by two retina specialists: (1) retinal breaks without detachment, (2) retinal breaks with retinal detachment, (3) retinal detachment without visible retinal breaks, and (4) a combination of groups 1 to 3. The fundus image data set was split int… Show more
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