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medvae


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Author: Stanford Machine Intelligence for Medical Imaging (MIMI)
License: MIT License Copyright (c) 2025 Stanford MIMI Lab Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to...
Summary: MedVAE is a family of six medical image autoencoders that can encode high-dimensional medical images into latent representations.
Latest version: 0.1.7
Required dependencies: accelerate | batchgenerators | batchgeneratorsv2 | dicom2nifti | einops | gdown | hydra-colorlog | hydra-core | imagecodecs | matplotlib | monai | nibabel | nilearn | numpy | omegaconf | open_clip_torch | pandas | polars | pyrootutils | requests | rich | scikit-image | scikit-learn | scipy | seaborn | simpleitk | torch | torchmetrics | torchvision | tqdm | wandb | yacs
Optional dependencies: mdformat | pre-commit | ruff

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