Baseline characteristics of RRD group.
Version 1ObjectiveTo test the applicability of deep learning models for detecting and staging rhegmatogenous retinal detachment (RRD) based on morphological features using two- and three-dimensional optical coherence tomography (OCT) scans.DesignRetrospective study using deep learning-based image classification analysis of 2D and 3D OCT scans combined with clinical baseline data.SubjectsAdult patients presenting to the University Medical Center Hamburg-Eppendorf in Germany.MethodsA total of 252 eyes with
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ObjectiveTo test the applicability of deep learning models for detecting and staging rhegmatogenous retinal detachment (RRD) based on morphological features using two- and three-dimensional optical coherence tomography (OCT) scans.DesignRetrospective study using deep learning-based image classification analysis of 2D and 3D OCT scans combined with clinical baseline data.SubjectsAdult patients presenting to the University Medical Center Hamburg-Eppendorf in Germany.MethodsA total of 252 eyes with