This is an end-to-end PWA and a convolutional neural network (CNN) project that classifies chest x-ray images of patients with lung disease (pneumonia) and those who do not have lung disease (normal). The model had a 0.90 AUC score, 0.91 Accuracy, 0.92 Precision, 0.94 Recall, and a 0.91 F1-score for class 0 (Pneumonia).
