Deep Learning for Chest Radiographs

Chapter 1: Introduction

Abstract

This chapter highlights the motivation behind designing computer-aided classification (CAC) systems for chest radiographs. It gives a brief overview of the concepts of artificial intelligence, deep learning, medical images, medical imaging techniques, and diagnostic features of medical images. The chapter discusses the different medical imaging techniques beneficial in diagnosis of chest abnormalities, primarily pneumonia, and the diagnostic features that a medical practitioner looks for to identify normal, pneumonia, and COVID19 chest radiographs.

Keywords

Pneumonia; Deep learning; Artificial intelligence; Medical images; Medical imaging techniques; Chest radiograph; Diagnostic features; Convolutional neural ...