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Update README.md

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@@ -77,8 +77,7 @@ model = tf.keras.models.load_model("model.h5", compile=False)
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  # Run inference
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  output = model.predict(input_data)```
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-
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- ```Here, input_data refers to a CT image, and the corresponding T1-weighted (T1w) image is produced as the output.
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  For detailed instructions on how to use each module of the pyMEAL software, please refer to the tutorial section of our GitHub repository (https://github.com/ai-vbrain/pyMEAL).
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@@ -91,23 +90,20 @@ For help, contact:
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  - Dr. Maradesa (<amaradesa@hkcoche.org>)
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- ---
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-
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- ### 🔍 Explanation
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-
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- - The code block opens with ` ```python `
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- - The code ends with **just** ` ``` ` on its **own new line**
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- - Then your explanation text resumes below in regular Markdown
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-
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- ---
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- Let me know if you'd also like to:
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- - Center the image or resize it
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- - Add output visualizations or example predictions
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- - Add Hugging Face badges or usage tabs
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- I'm happy to build a full `README.md` for you too.
 
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  # Run inference
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  output = model.predict(input_data)```
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+ Here, input_data refers to a CT image, and the corresponding T1-weighted (T1w) image is produced as the output.
 
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  For detailed instructions on how to use each module of the pyMEAL software, please refer to the tutorial section of our GitHub repository (https://github.com/ai-vbrain/pyMEAL).
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  - Dr. Maradesa (<amaradesa@hkcoche.org>)
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+ ## How to Use
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+ ### Load a Model (Basic)
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+ ```python
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+ import tensorflow as tf
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+ # Load the model
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+ model = tf.keras.models.load_model("model.h5", compile=False)
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+ # Run inference
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+ output = model.predict(input_data)
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+ ```
 
 
 
 
 
 
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+ Here, `input_data` refers to a CT image, and the corresponding T1-weighted (T1w) image is produced as the output.
 
 
 
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+ For detailed instructions on how to use each module of the **pyMEAL** software, please refer to the [tutorial section on our GitHub repository](https://github.com/ai-vbrain/pyMEAL).