📄 Update README.md to remove NEN task pipeline image and improve project link formatting

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README.md

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   2. **Semantic Matching** 🧠: Employing LLMs (like GPT-4) to select the best match from top candidates
   3. **Expert Validation** ✅: Final review and verification by medical students from University Hospital RWTH Aachen
 
-Pipeline of NEN task in MedKGC：
-![Pipeline of NEN task in MedKGC](image.png)
-
 
 ## 🧩 Data Structure
 The dataset contains the following fields:
@@ -30,7 +27,8 @@ The dataset contains the following fields:
 
 ## 💡 Application Scenarios
 This is a sub-project of MedKGC, focusing on Named Entity Normalization (NEN) tasks. We built this dataset to evaluate the ability to normalize entity names in medical knowledge graphs.
-Related project: [MedKGC](https://github.com/MouYongli/MedKGC/tree/main/src/medkgc/nen)
+Related project:  
+[MedKGC NEN task](https://github.com/MouYongli/MedKGC/tree/main/src/medkgc/nen)
 
 ## 📝 Citation
 If you use the RadLink dataset, please cite this project as well as the original RadGraph dataset: