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Fig. 1 | BMC Ophthalmology

Fig. 1

From: Preliminary analysis of predicting the first recurrence in patients with neovascular age-related macular degeneration using deep learning

Fig. 1

A schematic of deep learning model training, validation, and performance assessment for predicting the first recurrence of neovascular age-related macular degeneration patients using optical coherence tomography (OCT) image sets. A OCT scans were obtained at baseline and after the loading phase, which was taken one month after three consecutive anti-vascular endothelial growth factor (anti-VEGF) loading injections. B Retinal regions of interest (ROIs) were found using a fluid segmentation network. Recurrence classification network (ResNet50) (C) and gradient-weighted class activation mapping visualization (D) is presented

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