A comparative study and implementation of five autoencoder architectures (Basic, CNN, Denoising, VAE, Sparse) for medical image reconstruction and feature extraction using the PathMNIST dataset.
computer-vision deep-learning image-reconstruction tensorflow medical-imaging ae unsupervised-learning autoencoders variational-autoencoder medmnist denoi pathmnist
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Updated
Apr 25, 2026 - Jupyter Notebook