Factual package intelligence from PyPI

multi-med-image-ml 1.0.1 package intelligence

Deep learning library to encode multiple brain images and other electronic health record data in disease detection.

pip install multi-med-image-ml

Current version
1.0.1
Python requirement
>=3.8
License
MIT License
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
4.6 MiB
Release history
29 releases with files
Median release cadence
1 days

multi-med-image-ml dependencies

PyPI declares 22 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. adjusttext
  2. datefinder
  3. dcm2niix
  4. dicom2nifti
  5. gdown >=4.4.0
  6. general-class-balancer
  7. matplotlib >=3.5.0
  8. monai >=1.3.1
  9. nibabel >=5.2.1
  10. numpy >=1.22.0
  11. opencv-python >=4.5.4
  12. pillow >=9.3.0
  13. platformdirs
  14. pyclustering
  15. pydicom >=2.4.4
  16. python-dateutil
  17. requests >=2.28.1
  18. scikit-image >=0.19.3

The compact report shows 18 of 22 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

multi-med-image-ml publishes 1 wheel and 1 source archive for version 1.0.1. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Release activity and sources

PyPI lists 29 releases with files. The first dated release is ; 29 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .