Update README.md

README.md

@@ -6,17 +6,16 @@ license: mit
 This repository contains a conditional diffusion model trained to generate 3D medical CT scan images based on segmentation masks. The model uses a U-Net architecture with score-based diffusion for high-quality medical image synthesis.
 
 
-# Real or Fake Image? 
+## Real or Fake Image? 
 <p>
   <img src="assets/real_fake.png" alt="Sample real vs fake medical CT" width="600"/>
 </p>
 
 
-# Trained on Dataset
+## Trained on Dataset
 ![Sample dataset](assets/dataset.png)
 
-
-# Live Interactive Demo
+## <a href="https://archietan.com/synthetic-ct-demo" style="color:blue; text-decoration:underline;">Live Interactive Demo</a>
 <p>
   <img src="assets/livedemo.png" alt="Sample input and output" width="600"/>
 </p>