This research project intent is to review and demonstrate a comparability among recent auto-encoder methods by utilizing single architecture and resolution. Each method will be ranked based on selective performance measure in modeling healthy brain and the sensitivity towards domain shift.
deep-neural-networks
autoencoder
anomaly-detection
wasserstein-gan
wasserstein-autoencoder
autoencoder-neural-network
brain-mri-images
unsupervised-anomaly-detection
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Updated
Jan 29, 2021 - Python