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Progression prediction framework using OCT images, VF MD values, IOP and patient baseline characteristics to predict the slow vs fast progression of glaucoma patients 12 months (M12) after the baseline visit. The framework comprises CNN (ResNet-34) for feature extraction from OCT images, LSTM models to learn the temporal relationships within longitudinal inputs and pix2pix GAN for generating the M12 images using baseline images.
