HABIT (Habitat Analysis: Biomedical Imaging Toolkit)
Copyright (c) 2024-2026 Li Chao, Dong Mengshi and HABIT Contributors.

This product is licensed under the Apache License, Version 2.0. A copy of the
license is included in the LICENSE file at the root of this distribution.

If you redistribute HABIT or a derivative work, Apache-2.0 section 4(d)
requires that you also carry a readable copy of the attribution notices below.

When HABIT is used in scientific work, the authors additionally request -- but
do not require as a condition of this license -- that you cite the project. See
CITATION.cff for citation metadata.

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Third-party components incorporated into HABIT
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1. VMAF
   https://github.com/Netflix/vmaf
   Copyright (c) 2020 Netflix, Inc.
   Licensed under BSD-2-Clause-Patent

   The DeLong AUC comparison routines in
   habit/core/machine_learning/statistics/delong_test.py are adapted from this
   project.

2. PyTorchRadiomics
   https://github.com/lyhyl/pytorchradiomics
   Copyright (c) lyhyl and PyTorchRadiomics contributors
   Licensed under the MIT License

   The GPU feature classes in habit/kernels/radiomics/torchradiomics/ are
   vendored from this project and adapted for HABIT.

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Runtime dependencies
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HABIT depends on third-party packages that are installed separately and remain
governed by their own licenses, including PyRadiomics, SimpleITK, ANTsPy,
scikit-learn, scikit-image, pandas, NumPy, SciPy, XGBoost, and pydicom. Those
licenses are not reproduced here; consult each package's own distribution.
