Detecting Pneumonia Lung Infection From X-Ray Images with Deep Learning. Issue 1 (August 2021)

• Record Type: Journal Article
• Authors: Raheja, K; Goel, A; Mahajan, M
• Is Part Of: Journal of physics. Volume 1950:Issue 1(2021)
• Publication Date: 2021-08
• Subjects: Pneumonia -- Convolutional Neural Network -- Deep Learning -- Data Preprocessing -- Computer Vision; Physics -- Congresses; 530.5
• DOI: 10.1088/1742-6596/1950/1/012052
• Languages: English
• ISSNs: 1742-6588

Abstract

Abstract: Pneumonia is one of the most prominent basis of premature death globally, according to some of the major health institutions like WHO more than 1 billion people around the world get infected and more than 4 million people die prematurely due to pneumonia lung infection. Detection of pneumonia infection requires a lot of medical tests, which can be expensive and time consuming. Deep Learning, the technology which gives computer systems the ability to learn and adapt through unstructured data in order to complex solve real world problems has the potential to make the detection of pneumonia easier, cost effective and less time consuming. The motivation behind this paper is to grasp the criticalness and utilizations of deep computational learning and Convolutional Neural Network (CNN) by executing it so as to recognize Pneumonia by examining a patient's chest x-beam pictures.