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This repository applys a Variational Autoencoder model (based on pytorch example) to analyze and predict Humphrey Visual Field (HVF) data, crucial for glaucoma detection and monitoring. The VAE models the HVF data distribution, aiding in identifying glaucomatous patterns and generating synthetic HVF data for advanced research and testing.
Robbyx1/VF-vae
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This repository applys a Variational Autoencoder model (based on pytorch example) to analyze and predict Humphrey Visual Field (HVF) data, crucial for glaucoma detection and monitoring. The VAE models the HVF data distribution, aiding in identifying glaucomatous patterns and generating synthetic HVF data for advanced research and testing.
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