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BrainTumorTest

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medical
mri
brain-tumor-detection
computer-vision
tensorflow
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@@ -73,7 +73,7 @@ outputs = Dense(4, activation='softmax')(x)
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  model = Model(inputs=base_model.input, outputs=outputs)
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  # Load Weights
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  model.load_weights("efficientnetb0_finetuned_brain_mri.keras")
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-
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  📊 Dataset & Training Data
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  Source: Brain Tumor MRI Dataset (Kaggle)
@@ -81,6 +81,7 @@ model.load_weights("efficientnetb0_finetuned_brain_mri.keras")
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  Training Set: MRI images augmented with rotation, shift, zoom, and horizontal flips.
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  Testing Set: Independent brain MRI scans for evaluation.
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  Classes: 4 categories (Glioma, Meningioma, No Tumor, Pituitary).
 
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  ![Confusion Matrix](https://huggingface.co/starpreeda/BrainTumorTest/resolve/main/Figure_1.png)
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  ![Training Performance](https://huggingface.co/starpreeda/BrainTumorTest/resolve/main/Figure_2.png)
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  model = Model(inputs=base_model.input, outputs=outputs)
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  # Load Weights
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  model.load_weights("efficientnetb0_finetuned_brain_mri.keras")
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+ ```
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  📊 Dataset & Training Data
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  Source: Brain Tumor MRI Dataset (Kaggle)
 
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  Training Set: MRI images augmented with rotation, shift, zoom, and horizontal flips.
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  Testing Set: Independent brain MRI scans for evaluation.
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  Classes: 4 categories (Glioma, Meningioma, No Tumor, Pituitary).
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+
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  ![Confusion Matrix](https://huggingface.co/starpreeda/BrainTumorTest/resolve/main/Figure_1.png)
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  ![Training Performance](https://huggingface.co/starpreeda/BrainTumorTest/resolve/main/Figure_2.png)
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