71. Pneumonia Detection Using MPEG7 for Feature Extraction Technique on Chest X-Rays

Pneumonia is a lung inflammatory condition that transpires due to excessive fluid in the air sacs (alveoli) of the lungs. It is trivially caused due to infection from viruses and bacteria like Streptococcus pneumoniae, Haemophilus influenzae and Ligionella pneumophila. According to World Health Organization (WHO), pneumonia is responsible for more than 0.8 million deaths in 2017. Chest X-rays are predominantly used for detecting pneumonia, but diagnosis necessitates a well-trained and experienced radiotherapist. So, developing an automated system for diagnosing pneumonia with a better distinguishing ability will be much more benevolent for people, especially living in distant areas. Segmentation and other approaches can be used for detecting pneumonia, but it is quite computationally intensive. So, to ameliorate the technique, we have used dimensionality reduction stratagem which is acquired using principal component analysis (PCA) on the features of the image extracted using MPEG7 and PCA assisted us to extract the dominant features from the image in terms of principal components after which, with the help of ANN, we got the state-of-the-art solution on the CheXNet dataset.