Effect of image augmentation and proportional on multiple fundus image modalities for glaucoma prediction
Version 1This study develops an end-to-end pipeline for glaucoma prediction that works across both Standard View and Ultra-Wide Field fundus modalities. Modality is identified via a simple JPEG file-size rule and then a brightness-guided optic-disc localizer produces a centered optic disc cropping; across 1,300 images (714 glaucoma, 586 non-glaucoma), cropping succeeded on 1,281 images (98.54%), with failures occurring only in Ultra-Wide Field.We trained 42 models with each architecture: AlexNet, ResNet1
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This study develops an end-to-end pipeline for glaucoma prediction that works across both Standard View and Ultra-Wide Field fundus modalities. Modality is identified via a simple JPEG file-size rule and then a brightness-guided optic-disc localizer produces a centered optic disc cropping; across 1,300 images (714 glaucoma, 586 non-glaucoma), cropping succeeded on 1,281 images (98.54%), with failures occurring only in Ultra-Wide Field.We trained 42 models with each architecture: AlexNet, ResNet1