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Update README.md

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@@ -11,7 +11,7 @@ The model uses a **U-Net architecture with score-based diffusion** for high-qual
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  ## Real or Fake Image?
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- <p align="center">
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  <img src="assets/real_fake.png" alt="Sample real vs fake medical CT" width="600"/>
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  </p>
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@@ -21,7 +21,7 @@ The model uses a **U-Net architecture with score-based diffusion** for high-qual
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  The model was trained on **3,346 CT scan examples** with corresponding segmentation masks (80/20 train–validation split).
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- <p align="center">
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  <img src="assets/dataset.png" alt="Sample dataset" width="600"/>
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  </p>
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@@ -34,7 +34,7 @@ The model was trained on **3,346 CT scan examples** with corresponding segmentat
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  ## <a href="https://archietan.com/synthetic-ct-demo" style="color:blue; text-decoration:underline;">Live Interactive Demo</a>
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- <p align="center">
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  <a href="https://archietan.com/synthetic-ct-demo">
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  <img src="assets/livedemo.png" alt="Sample input and output" width="600"/>
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  </a>
 
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  ## Real or Fake Image?
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+ <p>
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  <img src="assets/real_fake.png" alt="Sample real vs fake medical CT" width="600"/>
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  </p>
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  The model was trained on **3,346 CT scan examples** with corresponding segmentation masks (80/20 train–validation split).
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+ <p>
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  <img src="assets/dataset.png" alt="Sample dataset" width="600"/>
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  </p>
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  ## <a href="https://archietan.com/synthetic-ct-demo" style="color:blue; text-decoration:underline;">Live Interactive Demo</a>
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+ <p>
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  <a href="https://archietan.com/synthetic-ct-demo">
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  <img src="assets/livedemo.png" alt="Sample input and output" width="600"/>
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  </a>