Wheelodex » Projects » hi-ml-cpath

hi-ml-cpath

View on PyPI — Reverse Dependencies (0)

0.5.2 hi_ml_cpath-0.5.2-py3-none-any.whl

Wheel Details

Project: hi-ml-cpath
Version: 0.5.2
Filename: hi_ml_cpath-0.5.2-py3-none-any.whl
Download: [link]
Size: 141903
MD5: 20017fd2ef7fec9ef26e776e7be5ce05
SHA256: 29a02286b56bd6325aea1135ab17cd9286bdb09719967b0ef0955c2b23d58e89
Uploaded: 2024-08-30 13:56:03 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: hi-ml-cpath
Version: 0.5.2
Summary: Microsoft Health Futures package for deep learning on histopathology images
Author: Biomedical Imaging Team @ Microsoft Health Futures
Author-Email: innereyedev[at]microsoft.com
Home-Page: https://github.com/microsoft/hi-ml
License: MIT License
Keywords: Health Futures,Health Intelligence,Computational Pathology,AzureML
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering :: Medical Science Apps.
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3.9
Requires-Dist: coloredlogs (==15.0.1)
Requires-Dist: cucim (==22.10.00)
Requires-Dist: girder-client (==3.1.14)
Requires-Dist: hi-ml
Requires-Dist: ipykernel (==6.21.2)
Requires-Dist: lightning-bolts (==0.4.0)
Requires-Dist: monai-weekly (==1.2.dev2310)
Requires-Dist: more-itertools (==8.10.0)
Requires-Dist: numpy (==1.22.0)
Requires-Dist: pillow (==10.0.1)
Requires-Dist: pydicom (==2.3.0)
Requires-Dist: scikit-image (==0.19.3)
Requires-Dist: scipy (==1.10.0)
Requires-Dist: seaborn (==0.13.0)
Requires-Dist: simpleitk (==2.1.1.2)
Requires-Dist: tifffile (==2022.10.10)
Requires-Dist: timm (==0.6.12)
Requires-Dist: torch (==1.11)
Requires-Dist: torchmetrics (==0.10.2)
Requires-Dist: torchstain (==1.3.0)
Requires-Dist: umap-learn (==0.5.2)
Requires-Dist: yacs (==0.1.8)
Description-Content-Type: text/markdown
[Description omitted; length: 3564 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.38.1)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
health_cpath/configs/run_ids.py sha256=qRWb652WfGsbQGYA9IIufBm_l0VvWFkTYqvzwnJsNMw 447
health_cpath/configs/classification/BaseMIL.py sha256=GPheC3CN7gC-IcEpWhJGmYn34A52ev2SoSZ_ZGQe6HA 19326
health_cpath/configs/classification/DeepSMILECrck.py sha256=tD4jjUm4KVuHPAct7kaeSRPISunXKFb-9qvxqmZNbrM 4326
health_cpath/configs/classification/DeepSMILEPanda.py sha256=128bQx0QOiRkzG7vwnu7aBReeTGlFvSrx8RBcIvJTio 8031
health_cpath/configs/classification/DeepSMILESlidesPandaBenchmark.py sha256=44gDFaIxQB8r8q5sYulQvUANBhKYQV9OBr1kK_dRjZo 7824
health_cpath/datamodules/base_module.py sha256=z1GYtDdZ8_M5dXLGQh5zPWH6_IdZVUoo2gq_Kwusy1Y 17147
health_cpath/datamodules/panda_module.py sha256=gBf4IF3j9lVQ0MfhBacH6O58GRkHotemgBPROmwoVyo 2885
health_cpath/datamodules/panda_module_benchmark.py sha256=I-pQ5iMfZ8J5n8x7Ot0CXTJOYAWJlUkhISg1Ls5sJqI 1815
health_cpath/datamodules/tcga_crck_module.py sha256=I13nUMLimq9WA1xKbZtD0i0AyGBXi87iOxau5U5CTkM 1844
health_cpath/datasets/base_dataset.py sha256=FTU1pzPfnpAoF6xie7e3WJinuHGea6TROtmuQ0_iIZ4 13476
health_cpath/datasets/dataset_return_index.py sha256=E4J0Z8FPolgNEjtPIFhTUndqG7Ws02Vg6CplcaBVNrg 1185
health_cpath/datasets/default_paths.py sha256=-gvf6Kp_ICfrvVOIEPuQmb3dmZdu7Sf-krkxu7PG5M8 1118
health_cpath/datasets/panda_dataset.py sha256=mXUiCVkCCQLQyFGBa540QCkjWkderYBiFmBwtt7WW8k 2193
health_cpath/datasets/panda_tiles_dataset.py sha256=WYSPIobhRmEj0nivsvgaCXDLvbslhUO41j1b7GNZ-WA 5579
health_cpath/datasets/tcga_crck_tiles_dataset.py sha256=Jf_W_J-YNk4OAONVFjddoYTUq7Mf6rStPTpy6AdRFVA 2782
health_cpath/datasets/tcga_prad_dataset.py sha256=eYBTQcKFzNz3LoKHbGhuoifs3QOu4veJEbfFGNC2UVg 2269
health_cpath/models/deepmil.py sha256=l0u6dL8eFWgKEqA5C6wXn-iuJiBY_LZypLRCQNTA8vI 23102
health_cpath/models/encoders.py sha256=kq_OcLlgVawVI8jCvUUFtXl0BzNcuQ0ZEVkNeZlJQFw 27828
health_cpath/models/transforms.py sha256=FY8l9BVNYJ4fZUdZpyMsb2_FiFxj_Wsl2ndDQH3958E 18906
health_cpath/preprocessing/create_panda_tiles_dataset.py sha256=_A87dK-EoLUSC3wQ4hd26XBK8OsG2KU54e3b03uX--Q 10310
health_cpath/preprocessing/create_tiles_dataset.py sha256=yvqpikDRq33E7Rg_gYBsGGxbCle8wXJdBxhC0tnpG5U 15042
health_cpath/preprocessing/loading.py sha256=G1UcAk4tRdZoZ2jmgGZ37tLiWPPtRM7FRG7mamJ30gw 19956
health_cpath/preprocessing/tiff_conversion.py sha256=73fbuXkwB3kjIn7gACdrsP9biVkuxR1n0Lef6NbOYuU 14001
health_cpath/preprocessing/tiling.py sha256=y1rIL6FtuuyrbyXEQkonxUFX2J_eKLLX8JH53yTZNs8 6353
health_cpath/scripts/aggregate_metrics_crossvalidation.py sha256=QVBcfMwOXA88xbqCzyTOmID2dU3Qx9q_bxxZGAwB4bE 4594
health_cpath/scripts/create_montage.py sha256=c3yVdp0nbzwuVrlQkZzE1Jt0qA28RA9sQYUCC1R956E 2710
health_cpath/scripts/generate_checkpoint_url.py sha256=excKT5aDIJKFV4ogulKmk7EgdSSLep014mV1Vg2lTjI 3294
health_cpath/scripts/generate_crossval_report.py sha256=Nbr5C1Z9K1fAfINIRYN3n5qT-kbkunZJ_97bkEg1SgU 15779
health_cpath/scripts/mount_azure_dataset.py sha256=PViFEHqNJKC9Fu6Wk8riH_s7oJaJybrYWx0be5IlweE 1931
health_cpath/scripts/tcga_dataset_prep.py sha256=lSqgcxiTmiQo90wtYpEhPNrYz8sNI3o9MicrpcsHeZI 1917
health_cpath/utils/__init__.py sha256=C-xBRiFnZQ9LLVjif18B8-cX970PnUKItqF-3p8zSdg 467
health_cpath/utils/analysis_plot_utils.py sha256=1odQug29i6iScTBLgw_7iGPFaCbFRE-maLK6QDobirs 14187
health_cpath/utils/callbacks.py sha256=KKJqoxwJX2sGoQKZoYhqMSrGcDtMxlAaLjIWYUg8CY4 27678
health_cpath/utils/deepmil_utils.py sha256=-YpQAC57tLCHpNiF49Ude-Nc5au1WBtQrX5n0PlQbhE 13526
health_cpath/utils/download_utils.py sha256=a5yTOFPZ-a3P_mQ_QJ4xrZcS4064gntvXYvXjOo28GU 1560
health_cpath/utils/girder.py sha256=Xp3DfR77gSXFNK5kkLD1Ws6oNLZxxPpjEkwOPGxl-kk 25803
health_cpath/utils/heatmap_utils.py sha256=OQmfVEEwJCLJ5W-6ceznvr5tayuqssQLptIR-AmNt_c 1560
health_cpath/utils/layer_utils.py sha256=ukmVw3uAuWE_ed6jNfUhgq7WMu3FT9t7UPw0VKietSk 2494
health_cpath/utils/montage.py sha256=5e_2amEkXEdNZb6eIbSMLuqqmjtJbK1h4HPEyCjo2U8 25233
health_cpath/utils/montage_config.py sha256=S5HY6HiyVHjJtU6tefMxzrK5iu2EXDrdJiyIitJr3V8 4436
health_cpath/utils/naming.py sha256=aJ-vwKKHtwJVsDgIaXiRP4ccZWI2jMm79yE7lv8L0KE 2880
health_cpath/utils/output_utils.py sha256=qkX9QHoiSFPM1ce5aaoE9UwYewRy8HbII8O52pJ2fRE 21122
health_cpath/utils/package_setup.py sha256=Dqe-zwnsoNJMjPLNenW2-oRg93KlMb4d53sYuc0QaTU 851
health_cpath/utils/plots_utils.py sha256=3BRwWOv5qykHCoRJAanA-4Gl4JBvja1z3aD7sy4yo8M 21679
health_cpath/utils/report_utils.py sha256=oXQAfqWEcc11CED3SkYj5dhuQnp_u7_Pu36PMnEijCs 14679
health_cpath/utils/tcga_utils.py sha256=NG1sr34fhsqLmvoABb2u_Ux4LJfu6xTy3LFdgUBC-7s 862
health_cpath/utils/tiff_conversion_config.py sha256=MulY6-czuTIUbyMRz2zM6bdE8-MqIlpkfN18ITh3Zb8 6717
health_cpath/utils/tiles_selection_utils.py sha256=lufl38z4Jdmxg3rHlUsTJilufQrbphjuANj1sDYfUJo 17727
health_cpath/utils/viz_utils.py sha256=C8iiNtDZmjFihlccOukJVkQApzSx8DU8hIL6rkGB0AM 14171
health_cpath/utils/wsi_utils.py sha256=ZdkohK7kVbFPkW_kl60TBLnf5CAcIraOT8sOiIUWxUQ 5868
hi_ml_cpath-0.5.2.dist-info/METADATA sha256=0z0ffuhuYB2IhWIbYKlOd65lpKE0ZQBMMF6D8P-CARw 5046
hi_ml_cpath-0.5.2.dist-info/WHEEL sha256=00yskusixUoUt5ob_CiUp6LsnN5lqzTJpoqOFg_FVIc 92
hi_ml_cpath-0.5.2.dist-info/top_level.txt sha256=MehcE-0mM2LNKssfA0rkjMRZ3n9MmguCTKiqdtIJUKc 13
hi_ml_cpath-0.5.2.dist-info/RECORD — —

top_level.txt

health_cpath