Deep Learning-Based Identification of Pneumonia in Chest X-Ray Images

Pneumonia is a serious infection caused by bacteria, viruses, or fungi invading the lungs. This leads to inflammation of the alveoli, causing them to fill with fluid, which can result in symptoms such as coughing, difficulty breathing, or chest pain. Addressing the growing demand for AI-driven diagnostic tools in healthcare, particularly for pneumonia detection, this work presents an effective approach using deep learning techniques.Training models to differentiate between pneumonic and normal chest X-ray pictures is the main goal of the project. To evaluate the patient’s health, the suggested system makes use of deep learning architectures such as Convolutional Neural Networks (CNN), ResNet, DenseNet, and VGG16. Achieving the maximum model accuracy while offering dependable and effective diagnostic support is the main goal of this study.The result shows that DenseNet provides a good accuracy of 96%.