Detection of Pneumonia Using Deep Learning

Pneumonia isa lunginfection that usually causes fever, coughing, and difficulty in breathing. Pneumonia is one of the most significant causes of death and morbidity in children under five years of age worldwide. Pneumonia is a very dangerous condition that is very difficult to diagnose at an early stage. This paper focuses on the development of a deep learning model using Convolution Neural Network for detecting Pneumonia disease from X-ray images of the Chest and improve it for efficiency and accuracy by making various hyperparameter optimizations and modifications to achieve better detection and performance accuracy. The model also uses some of the existing models by training them on the required data sets. The research focuses to develop a system that can that detect pneumonia from the chest X-ray images with an improved accuracy which can help to provide an early assistance service at places where the experts are not available easily. Also, this system can be used in the future for the detection of COVID-19 disease.