Factual package intelligence from PyPI

tumor-detection-segmentation 2.0.0 package intelligence

Advanced Medical Imaging AI Platform for tumor detection and segmentation

pip install tumor-detection-segmentation

Current version
2.0.0
Python requirement
>=3.8
License
MIT License
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
950.2 KiB
Release history
1 releases with files
Median release cadence
Not enough dated releases

tumor-detection-segmentation dependencies

PyPI declares 60 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. matplotlib >=3.5.0
  2. monai >=1.3.0
  3. nibabel >=4.0.0
  4. numpy >=1.21.0
  5. pandas >=1.4.0
  6. pathlib2 >=2.3.0 when python_version < "3.4"
  7. pillow >=9.0.0
  8. pyyaml >=6.0
  9. scikit-image >=0.19.0
  10. scipy >=1.8.0
  11. seaborn >=0.11.0
  12. simpleitk >=2.2.0

The compact report shows 12 of 60 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

tumor-detection-segmentation publishes 1 wheel and 1 source archive for version 2.0.0. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.11, 3.12, 3.8, 3.9.

Release activity and sources

PyPI lists 1 release with files. The first dated release is ; 1 release falls within the 365 days preceding the latest dated release. The current release files were uploaded on .