Deep Learning for Chest Radiographs - 9780323901840

Deep Learning for Chest RadiographsComputer-Aided Classification\nAuthor(s): Yashvi Chandola, Jitendra Virmani, H.S Bhadauria, Papendra Kumar\nFormat: Paperback\nPublisher: Elsevier Science & Technology, United Kingdom\nImprint: Academic Press Inc\nISBN-13: 9780323901840, 978-0323901840\nSynopsis\nDeep Learning for Chest Radiographs enumerates different strategies implemented by the authors for designing an efficient convolution neural network-based computer-aided classification (CAC) system for binary classification of chest radiographs into \""Normal\"" and \""Pneumonia.\"" Pneumonia is an infectious disease mostly caused by a bacteria or a virus. The prime targets of this infectious disease are children below the age of 5 and adults above the age of 65, mostly due to their poor immunity and lower rates of recovery. Globally, pneumonia has prevalent footprints and kills more children as compared to any other immunity-based disease, causing up to 15% of child deaths per year, especi.