Pneumonia Detection in X-rays Using OpenCV and Deep Learning

Pneumonia is a lung infection that affects the air sacs that is the alveoli at the end of the airways in the lungs. Detecting pneumonia can be a challenge because of the complexities present during the interpretation stage. High expertise is required for detecting pneumonia using x-rays and takes a significant amount of time for obtaining accurate results especially in rural and remote areas which do not have accessibility to superior diagnostic procedures. The primary objective of our study is to detect whether a patient has pneumonia by his/her X-ray images through the utilization of OpenCV and Deep learning. To assist and solve this incommodious problem for the radiologists we have curated a deep learning model to achieve patient’s results which can be analyzed and reported to the patient directly. In our paper, we propose a deep learning model making use of Keras libraries and OpenCV for achieving a high test data accuracy rate.