Dirichlet VAE trained unsupervised on NIH DeepLesion (32k multi-organ CT patches) to test spontaneous dual-axis disentanglement of organ identity and malignancy. Probe-based evaluation with UMAP, MIG score, and latent traversals. Extension of Keel et al. BMVC 2023.
medical-imaging unsupervised-learning variational-autoencoder disentanglement latent-space multi-organ ct-imaging dirichlet-vae malignancy-prediction
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Mar 24, 2026 - Jupyter Notebook