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@@ -61,22 +61,24 @@ You can download any `.h5` file directly:
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  - [Download direct7_11ag23f11.h5](https://huggingface.co/AI-vBRAIN/pyMEAL/resolve/main/direct7_11ag23f11.h5)
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  - [Download best_modelaf2ndab7_221ag12g11.h5](https://huggingface.co/AI-vBRAIN/pyMEAL/resolve/main/best_modelaf2ndab7_221ag12g11.h5)
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  ---
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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 of our GitHub repository (https://github.com/ai-vbrain/pyMEAL).
 
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  - [Download direct7_11ag23f11.h5](https://huggingface.co/AI-vBRAIN/pyMEAL/resolve/main/direct7_11ag23f11.h5)
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  - [Download best_modelaf2ndab7_221ag12g11.h5](https://huggingface.co/AI-vBRAIN/pyMEAL/resolve/main/best_modelaf2ndab7_221ag12g11.h5)
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+
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  ---
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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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+ ` ``` `
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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).