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pyproject.toml
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pyproject.toml
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[build-system]
requires = ["setuptools>=61.0"]
build-backend = "setuptools.build_meta"
[project]
name = "DL-DiReCT"
version = "1.0.2"
description = "DL+DiReCT - Direct Cortical Thickness Estimation using Deep Learning-based Anatomy Segmentation and Cortex Parcellation"
readme = "README.md"
authors = [ {name = "Michael Rebsamen"} ]
license = {file = "LICENSE"}
keywords = ["brain morphometry", "cortical thickness", "MRI", "neuroimaging", "neuroanatomy segmentation", "deep-learning"]
requires-python = ">=3.7"
classifiers = [
"Development Status :: 5 - Production/Stable",
"Intended Audience :: Science/Research",
"Topic :: Scientific/Engineering",
"Programming Language :: Python :: 3",
]
dependencies = [
"antspyx>=0.3.5",
"HD_BET @ https://github.com/mrunibe/HD-BET/archive/refs/heads/master.zip",
"nibabel>=3.2.1",
"numpy<2.0.0",
"pandas>=0.25.3",
"pyradiomics>=3.0.1; python_version<'3.12'",
"pyradiomics @ https://github.com/AIM-Harvard/pyradiomics/archive/refs/heads/circle-ci-mac-os.zip ; python_version>='3.12'",
"scikit-learn>=0.21.3",
"scikit-image>=0.16.2",
"scipy>=1.3.3",
"torch>=1.3.1",
]
[project.urls]
Source = "https://github.com/SCAN-NRAD/DL-DiReCT"
Publication = "https://doi.org/10.1002/hbm.25159"
Issues = "https://github.com/SCAN-NRAD/DL-DiReCT/issues"
[project.scripts]
"dl+direct" = "run_script:run"
"direct" = "run_script:run"
"batch-dl+direct" = "run_script:run"
"stats2table" = "stats2table:main"
"radiomics_extractor" = "radiomics_extractor:main"
"radiomics2table" = "radiomics2table:main"
[tool.setuptools.packages.find]
where = ["src"]