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Project: medvae
Version: 0.0.5
Filename: medvae-0.0.5-py3-none-any.whl
Download: [link]
Size: 27072
MD5: 61b41b339fbd99ee1187f9e1e2a38981
SHA256: e4ccde3af5f18c208eb1594c00c9163819a8420d1ed87461b2fb84d1ea4a1f08
Uploaded: 2025-01-31 10:40:30 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt · entry_points.txt

METADATA

Metadata-Version: 2.2
Name: medvae
Version: 0.0.5
Summary: MedVAE is a family of six medical image autoencoders that can encode high-dimensional medical images into latent representations.
Author: Stanford Machine Intelligence for Medical Imaging (MIMI)
Author-Email: Maya Varma <mayavarma[at]cs.stanford.edu>, Ashwin Kumar <akkumar[at]stanford.edu>, Rogier van der Sluijs <sluijs[at]stanford.edu>
Project-Url: homepage, https://github.com/StanfordMIMI/MedVAE
Project-Url: repository, https://github.com/StanfordMIMI/MedVAE
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 deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
Keywords: deep learning,image compression,compression,efficiency,computer aided diagnosis,medical image analysis,autoencoders,representation learning,Med-VAE,medvae
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Healthcare Industry
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Scientific/Engineering :: Medical Science Apps.
Requires-Python: >=3.9
Requires-Dist: torch (>=2.4.1)
Requires-Dist: accelerate (>=0.34.2)
Requires-Dist: wandb (==0.14.0)
Requires-Dist: tqdm
Requires-Dist: dicom2nifti
Requires-Dist: scipy
Requires-Dist: batchgenerators (>=0.25)
Requires-Dist: numpy (>=1.24)
Requires-Dist: scikit-learn
Requires-Dist: scikit-image (>=0.19.3)
Requires-Dist: SimpleITK (>=2.4.0)
Requires-Dist: omegaconf (>=2.3.0)
Requires-Dist: pandas
Requires-Dist: requests
Requires-Dist: nibabel
Requires-Dist: matplotlib
Requires-Dist: seaborn
Requires-Dist: imagecodecs
Requires-Dist: yacs
Requires-Dist: batchgeneratorsv2 (>=0.2)
Requires-Dist: einops (>=0.8.0)
Requires-Dist: monai (>=1.3.2)
Requires-Dist: torchvision (>=0.19.1)
Requires-Dist: black; extra == "dev"
Requires-Dist: ruff; extra == "dev"
Requires-Dist: pre-commit; extra == "dev"
Provides-Extra: dev
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 2675 characters]

WHEEL

Wheel-Version: 1.0
Generator: setuptools (75.8.0)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

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medvae/models/autoencoder_kl_3d.py sha256=0xhgFHoQ09gpYpIp-8KL7X9zhNrGT_6pzFESQjFL3Vc 4801
medvae/utils/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
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medvae-0.0.5.dist-info/RECORD — —

top_level.txt

medvae

entry_points.txt

[console_scripts]
medvae_inference = medvae.medvae_inference:main