Convolutional neural network-based classification of glaucoma | ResearchBunny

Index

Abstract

This study investigates the link between glaucoma and alterations in brain connections using diffusion MRI measurements of white matter tissue in 905 glaucoma patients and 5292 healthy individuals from the UK Biobank. Convolutional neural networks (CNNs) focusing on optic radiations showed higher accuracy in classifying glaucoma compared to CNNs using non-visual brain connections or regularized linear regression models. The CNN did not generalize to age-group or age-related macular degeneration classification, suggesting a distinct glaucoma signature in optic radiation tissue properties.

Publisher

Communications Medicine

Published On

Apr 11, 2024

Authors

John Kruper, Adam Richie-Halford, Noah C. Benson, Sendy Caffarra, Julia Owen, Yue Wu, Catherine Egan, Aaron Y. Lee, Cecilia S. Lee, Jason D. Yeatman, Ariel Rokem, UK Biobank Eye and Vision Consortium

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