MIT License

Copyright (c) 2025 CAMLAs (Computer Vision and Machine Learning Lab)

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.

---

MEDICAL DISCLAIMER:

This software is intended for research and educational purposes only.
It is NOT intended for clinical diagnosis, medical decision-making, or
patient care. The software should NOT be used as a substitute for
professional medical advice, diagnosis, or treatment.

Users of this software acknowledge that:

1. The software is experimental and may contain errors or inaccuracies
2. Medical decisions should always be made by qualified healthcare professionals
3. The developers and CAMLAs organization are not responsible for any
   medical decisions or outcomes resulting from the use of this software
4. Users assume all risks associated with the use of this software

By using this software, you agree to these terms and acknowledge that you
understand the limitations and appropriate use cases for this technology.

---

ATTRIBUTION:

If you use this software in academic research, please cite:

CAMLAs Research Team. (2025). Ovarian Cancer Detection API using Hybrid
ConvNeXt-NASNet Architecture. HuggingFace Spaces.
https://huggingface.co/spaces/CAMLAs/ovarian-cancer

---

THIRD-PARTY LICENSES:

This software uses the following third-party libraries and frameworks:

-   PyTorch: BSD-style license (https://github.com/pytorch/pytorch/blob/master/LICENSE)
-   timm: Apache License 2.0 (https://github.com/rwightman/pytorch-image-models/blob/master/LICENSE)
-   scikit-learn: BSD License (https://github.com/scikit-learn/scikit-learn/blob/main/COPYING)
-   Gradio: Apache License 2.0 (https://github.com/gradio-app/gradio/blob/main/LICENSE)
-   NumPy: BSD License (https://github.com/numpy/numpy/blob/main/LICENSE.txt)
-   Pillow: HPND License (https://github.com/python-pillow/Pillow/blob/main/LICENSE)

All third-party libraries retain their original licenses and copyrights.