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Update README.md

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@@ -93,12 +93,12 @@ Generated 01-19-2026 | 18:00 EST
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  | **Recall** | **83.8%** |
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  | **Background Specificity** | **1.00 (Perfect)** |
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- #### **Validation Proof**
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  ![Confusion Matrix](confusion_matrix_normalized.png)
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  *Figure 1: Normalized Confusion Matrix showing perfect separation of healthy tissue (Background).*
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  ![Precision-Recall Curve](BoxPR_curve.png)
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- *Figure 2: Precision-Recall curve confirming the 0.925 mAP score.*
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  > **Note on Training Logs:** The `results.png` file reflects a high-intensity training run conducted without a validation split (`val=False`) to maximize the training data pool. Final metrics were verified using a separate hold-out test set as shown in the PR and F1 curves.
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  | **Recall** | **83.8%** |
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  | **Background Specificity** | **1.00 (Perfect)** |
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+ #### **Test Proof**
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  ![Confusion Matrix](confusion_matrix_normalized.png)
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  *Figure 1: Normalized Confusion Matrix showing perfect separation of healthy tissue (Background).*
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  ![Precision-Recall Curve](BoxPR_curve.png)
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+ *Figure 2: Precision-Recall curve confirming the 0.899 mAP score.*
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  > **Note on Training Logs:** The `results.png` file reflects a high-intensity training run conducted without a validation split (`val=False`) to maximize the training data pool. Final metrics were verified using a separate hold-out test set as shown in the PR and F1 curves.
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