Infrared thermography is a fast and non-invasive technology that provides a map of the temperature distribution on the body's surface. This book provides a description of designing and developing a computer assisted diagnosis (CAD) system based on thermography for diagnosing some of the common ailments such as Rheumatoid Arthritis (RA), diabetes complications and fever. It also introduces applications of machine and deep learning methods in the development of CAD system. Recent technologies such as convolutional neural networks and its application in CAD is explained. Features Covers applications of various image processing techniques in thermal imaging applications for diagnosis of different medical conditions Describes the development of a computer diagnostics system (CAD) based on thermographic data Discusses customized deep learning models for accurate diagnosis of various diseases Includes new aspects in rheumatoid arthritis and diabetes research with usage of advanced analytical tools Reviews application of feature fusion algorithms and feature reduction algorithms for accurate classification of images This book is aimed at researchers and graduate students in biomedical engineering, medicine, image processing, and CAD.

Book Information
ISBN 9781032158143
Author U. Snekhalatha
Format Hardback
Page Count 248
Imprint Taylor & Francis Ltd
Publisher Taylor & Francis Ltd
Weight(grams) 152g