Pneumonia Detection Through X-Ray Images Using Convolution Neural Network

Pneumonia is a very contagious illness that spreads quickly among newborns. According to UNICEF, pneumonia was to blame for 16% of all baby deaths under the age of five. The main objective of this study is to determine whether a patient has pneumonia using a chest X-ray picture. CNN is used for this for this process, as it's great processing capability makes them the most effective choice for image processing and categorization. By the use of CNN, results will be obtained rapidly, and dependence on medical personnel will be reduced. Additionally, it will produce more precise findings than human vision, which could overlook a little X-Ray feature. More than17,000 chest X-ray pictures of pneumonic and healthy lungs are included in the collection. This model's total accuracy is 88.62%.