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@@ -45,9 +45,9 @@ The dataset contains MRI images organized into 4 classes:
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  Each class has images split into `Training/` and `Testing/` folders.
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- ![Dataset Distribution](results/class_distribution.png)
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- ![Sample Images](results/sample_images.png)
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  ## Model Architecture
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@@ -75,9 +75,9 @@ SimpleCNN with 10.7M parameters:
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  | No Tumor | 0.37 | 0.92 | 0.53 |
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  | Pituitary | 0.54 | 0.66 | 0.59 |
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- ![Training History](results/SimpleCNN_training_history.png)
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- ![Confusion Matrix](results/confusion_matrix_finetuned_normalized.png)
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  ## Installation
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  Each class has images split into `Training/` and `Testing/` folders.
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+ ![Dataset Distribution](class_distribution.png)
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+ ![Sample Images](sample_images.png)
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  ## Model Architecture
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  | No Tumor | 0.37 | 0.92 | 0.53 |
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  | Pituitary | 0.54 | 0.66 | 0.59 |
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+ ![Training History](SimpleCNN_training_history.png)
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+ ![Confusion Matrix](confusion_matrix_finetuned_normalized.png)
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  ## Installation
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