Update README.md

README.md

@@ -19,8 +19,7 @@ ToothSeg is an advanced instance segmentation model based on dental CBCT, develo
 - **Funded by:** The University of Hong Kong, Faculty of Dentistry
 - **Model type:** Dental CBCT image instance segmentation model
 - **Language:** English
-- **License:** Apache 2.0 (The model is released for non-commercial use.)
-
+- **License:** ToothSeg © 2025 by AIADIR is licensed under Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0). The model is released for non-commercial use. 
 
 ## Training Details
 
@@ -56,7 +55,7 @@ ToothSeg model is based on the SwinUnetR architecture and incorporates our propr
 
 ## Disclaimer and Compliance
 
-- **Licensing:** The model is open-sourced under the Apache 2.0 license. For commercial use, please comply with the licensing terms and consult the developers for further guidance.
+- **Licensing:** This model is released under the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) license. Users are free to copy, distribute, display, and adapt the model for non-commercial purposes, including research, education, and medical training. When using this model, users must credit the original developers (AIADIR, Faculty of Dentistry, The University of Hong Kong).
 - **Data compliance:** All training data used by the model were annotated by professional dental experts, sourced legally and ethically, with patient privacy fully protected.
 - **Potential bias:** While the model performs well across various types and structures of teeth and bones, there may still be rare cases or distributional biases not fully covered. Further evaluation or fine-tuning is recommended for specific scenarios.
 - **Safety notice:** Model outputs are for reference only and should not replace professional clinical diagnosis or decision-making. All use cases should be accompanied by expert dental evaluation and judgment.