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Project: mist-medical
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METADATA · WHEEL · RECORD · top_level.txt · entry_points.txt

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Metadata-Version: 2.1
Name: mist-medical
Version: 0.4.20a0
Summary: MIST is a simple, fully automated framework for 3D medical imaging segmentation.
Author: Rice University, The University of Texas MD Anderson Cancer Center
Author-Email: Adrian Celaya <aecelaya[at]rice.edu>, David Fuentes <dtfuentes[at]mdanderson.org>, Beatrice Riviere <riviere[at]rice.edu>
Project-Url: homepage, https://github.com/mist-medical/MIST
Project-Url: repository, https://github.com/mist-medical/MIST
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We also recommend that a file or class name and description of purpose be included on the same "printed page" as the copyright notice for easier identification within third-party archives. Copyright [2024] [Adrian Celaya] Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.
Keywords: deep learning,image segmentation,semantic segmentation,medical image analysis,medical image segmentation,nnU-Net,nnunet,U-Net,unet,vision transformers,UNETR,unetr
Classifier: Development Status :: 3 - Alpha
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: >=3.8
Requires-Dist: torch (>=2.0.1)
Requires-Dist: monai (>=1.3.0)
Requires-Dist: antspyx (>=0.3.8)
Requires-Dist: simpleitk (>=2.2.1)
Requires-Dist: numpy
Requires-Dist: pandas
Requires-Dist: rich
Requires-Dist: tqdm
Requires-Dist: scipy
Requires-Dist: scikit-learn
Requires-Dist: scikit-image
Requires-Dist: nvidia-dali-cuda110
Requires-Dist: tensorboard
Requires-Dist: einops
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 2603 characters]

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top_level.txt

mist

entry_points.txt

[console_scripts]
mist_analyze = mist.scripts.analyze_entrypoint:analyze_entry
mist_convert_dataset = mist.convert_to_mist:convert_to_mist_entry
mist_evaluate = mist.eval_preds:mist_eval_entry
mist_postprocess = mist.post_preds:mist_postprocess_entry
mist_predict = mist.predict:mist_predict_entry
mist_preprocess = mist.scripts.preprocess_entrypoint:preprocess_entry
mist_run_all = mist.scripts.run_all_entrypoint:run_all_entry
mist_train = mist.scripts.train_entrypoint:train_entry