A Comprehensive study on the Detection of Pneumonia using Machine Learning and Deep Learning Approaches

Pneumonia is an inflammation of the lungs caused by a bacterial or viral infection. The air bags of the lungs fill with pus when infected with bacteria or viruses. It can affect both lungs or a single. It can also be caused by fungi or parasites. This is an illness that threatens the lives of millions of people worldwide.. At present, the main challenge is to detect the disease in itsearliest stages. It is typically diagnosed by examining a chest X-ray taken by a trained physician or radiologist. In this review paper, a database of X-ray, CT-Scan images from patients was used to automatically detect pneumonia.The patient’s breathing becomes progressively unpleasant and difficult as a result of pneumonia. Machine learning-based diagnosis techniques can aid in the early and efficient detection of disease. Medical imaging research is utilizing computer vision-related automatic detection algorithm.