PneumoCNNgray-Based Deep Learning Model for Pneumonia Detection Using Chest X-Ray Images

Pneumonia remains one of the deadliest diseases worldwide, affecting the lung's function. The standard tool for detecting disease is Chest X-ray imaging. However, interpreting CXR images can be complex and time-consuming due to several reasons. In this research, we developed a custom PneumoCNNgray deep learning model for automated detection of pneumonia. The model was trained on the publicly available CXR dataset. Our model achieved a high accuracy and F1 score, demonstrating strong performance with minimal validation instability. The results demonstrate the reliability of the CNN model, making it practical for automated detection of pneumonia, supporting radiologists, and saving lives.

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