Processed Data for Figures and Model Performance for"Enhancing Artificial Intelligence with Fuzzy Quantum Neural Networks: A Novel Approach for Uncertainty-Aware Image Analysis in Pulmonary Emphysema Detection"

This dataset contains the processed data used to generate Figures 3, 4, 5, 6, and 7 in the research article titled **"Enhancing Artificial Intelligence with Fuzzy Quantum Neural Networks: A Novel Approach for Uncertainty-Aware Image Analysis in Pulmonary Emphysema Detection""**.

The dataset includes:

- **Figure 3:** Data used to plot the ROC curves for different models.

- **Figure 4:** Confusion matrix values for CNN and HQFNN models.

- **Figure 5:** Precision-Recall curve data for different classification thresholds.

- **Figure 6:** Model accuracy and F1-score comparison between CNN and HQFNN.

- **Figure 7:** Training and validation loss/accuracy trends over epochs.

- **Model Performance Table:** Accuracy, Precision, Recall, F1 Score, and AUC values for different models.

The data has been provided in **Excel format** with separate sheets for each figure and performance metrics. This dataset is publicly available for reproducibility and further research.

For more details, please refer to the research article once published.