Update README.md

README.md

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-license: cc-by-nc-4.0
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-
 # HNE2Cell — H&E Whole-Slide Image Cell Detection & Classification
 
 HNE2Cell detects and classifies **16 cell types** from H&E-stained whole-slide images (WSI).
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+  
 ## Citation
 
 If you use HNE2Cell in your research, please cite:
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 ```
 
 The example slide is derived from data generated by the TCGA:
-<https://portal.gdc.cancer.gov/>.
+<https://portal.gdc.cancer.gov/>.
+
+
+## License
+
+This repository uses a dual licensing scheme commonly adopted in academic ML/biomedical projects (e.g., SAM, LLaMA):
+
+- **Source code** (`.py` files): Released under the **MIT License**. See `LICENSE`.
+- **Model weights** (`HNE2cell_all_patch73_jit.pt`): Released under 
+  **Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)**. 
+  See `MODEL_LICENSE`. Free for academic and non-commercial research use.
+  
+  For commercial licensing, please contact:  
+  **Ewha University-Industry Collaboration Foundation**  
+  Technology Commercialization Team  
+  Ewha Womans University, 52 Ewhayeodae-gil, Seodaemun-gu, Seoul, Republic of Korea  
+  Web: <https://research.ewha.ac.kr> | <https://epm.ewha.ac.kr>
+- **Example slide** (`TCGA-56-8628-*.svs`): Derived from TCGA-LUSC, governed by 
+  the [NIH Genomic Data Sharing Policy](https://sharing.nih.gov/genomic-data-sharing-policy).
+