ICDP: An Improved Convolutional Neural Network Model to Detect Pneumonia from Chest X-Ray Images

Pneumonia is a serious respiratory infection that can be fatal if not diagnosed promptly. However, even experienced radiologists can find it challenging to arrive at an accurate assessment of pneumonia based on chest X-ray pictures due to their blurriness. In order to solve this issue, we have come up with a novel solution of automated system (ICDP) that uses deep learning techniques to improve diagnostic accuracy. Using deep convolutional neural networks (CNNs), we have built our system. Our model incorporates several layers designed for identifying features in X-ray images and determining whether there is pneumonia or not. In our experiments, we found that our proposed model achieved 95% accuracy in diagnosing pneumonia, and its performance improved with training. Our approach has the potential to improve radiologists’ ability to identify pneumonia, which might ultimately save many lives.