Pneumonia Classification Using Deep Learning VGG19 Model
Shannar Phine
Abstract
Pneumonia is a fatal disease that primarily affects the elderly and can be fatal. The earlier diagnosis of pneumonia saves lives. Deep learning is utilized in medical imaging. This paper develops the detection and classification of pneumonia patients according to their chest X-rays. This system was developed for the detection and classification of pneumonia using a deep learning model. In this system, the VGG-19 deep learning approach is used for solving the problem of pneumonia classification. The chest X-ray images (pneumonia) dataset at Kaggle is used for training with the VGG-19. The system implementation is done for the chest X-ray image dataset's balanced and unbalanced nature. This proposed system achieves an accuracy of 86% in an unbalanced dataset and 94% in a balanced dataset.