Pneumonia detection through Image Classification Using CNN

Abstract

Pneumonia is a dangerous and serious lung disease. Generally, Chest Radiographs are used to detect pneumonia. This article describes a new method based on Convolutional Neural Network (CNN) classifiers that can identify pneumonia from a patient’s X-ray. Hence, we are proposing pneumonia detection based on CNN using chest X-ray. In this paper, we analyze the existing methods of pneumonia detection and classification techniques. The performance of the proposed CNN model is compared with VGG19 and ResNet50-V2. Performance evaluation is done using Precision and Recall. The proposed CNN model provides higher accuracy compared to existing CNN models.