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Author Spotlight: Ex Vivo OCT-Based Multimodal Imaging of Human Donor Eyes for Research into Age-Related Macular Degeneration
Published on: May 26, 2023
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Multimodal Retinal Image Analysis via Deep Learning for the Diagnosis of Intermediate Dry Age-Related Macular
Ehsan Vaghefi1,2, Sophie Hill3, Hannah M Kersten1
1School of Optometry and Vision Sciences, University of Auckland, Auckland, New Zealand.
Journal of Ophthalmology
|May 16, 2020
Abstract
Results:
The CNN trained using OCT alone showed a diagnostic accuracy of 94%, whilst the OCT-A trained CNN resulted in an accuracy of 91%. When multiple modalities were combined, the CNN accuracy increased to 96% in the AMD cohort.
Conclusions:
Here we demonstrate that superior diagnostic accuracy can be achieved when deep learning is combined with multimodal image analysis.
