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 a guide for the constantly growing community of the users of medical thermal imaging. It describes where and how an infrared equipment can be used in a strictly standardised way and how one can ultimately comprehensively report the findings. Due to their insight into the complex mechanisms behind the distribution of surface temperature, future users of medical thermal imaging should be able to provide careful, and cautious, interpretations of infrared thermograms, thus avoiding the pitfalls of the past. The authors are well-known pioneers of the technique of infrared imaging in medicine who have combined strict standard-based evaluation of medical thermal images with their expertise in clinical medicine and related fields of health management.