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3DLAND
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Organ-aware 3D lesion segmentation dataset and pipeline for abdominal CT analysis (ACM Multimedia 2025 candidate)
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3DLAND/Phase I/monai_wholeBody_ct_segmenta.../requirements.txt

requirements.txt 657B
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  1. # Full requirements for developments

  2. flake8>=3.8.1

  3. flake8-bugbear

  4. flake8-comprehensions

  5. flake8-executable

  6. pylint!=2.13  # https://github.com/PyCQA/pylint/issues/5969

  7. mccabe

  8. pep8-naming

  9. pycodestyle

  10. pyflakes

  11. black

  12. isort

  13. pytype>=2020.6.1; platform_system != "Windows"

  14. types-pkg_resources

  15. mypy>=0.790

  16. pre-commit

  17. fire

  18. pytorch-ignite>=0.4.9

  19. einops

  20. nibabel

  21. pyyaml

  22. jsonschema

  23. gdown>=4.5.4

  24. tensorboard

  25. parameterized

  26. monai>=1.2.0

  27. pillow!=8.3.0  # https://github.com/python-pillow/Pillow/issues/5571

  28. itk>=5.2

  29. scikit-learn

  30. pandas

  31. cucim==22.8.1; platform_system == "Linux"

  32. scikit-image>=0.19.0

  33. PyGithub

  34. 

  35. # nii2png.py and main.py

  36. opencv-python

  37. natsort

  38. pydicom

  39. matplotlib