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.
About the Author: Dr. U. Snekhalatha is currently working as an Associate professor in the Department of Biomedical Engineering, College of Engineering and Technology, SRM Institute of Science and Technology, Kattankulathur. She pursued her Doctorate in Biomedical Engineering at SRMIST (2015). Her area of interest includes biomedical signal processing, medical image processing, biomedical instrumentation, machine learning and deep learning techniques. She published 21 research articles in a reputed peer reviewed international journals with good impact factor indexed in science citation index, medline and Pubmed etc. She has published 22 Scopus indexed international journals and 25 technical papers published in various national and IEEE International conferences indexed in IEEE Xplore digital library and other international conferences. She has filed 4 Indian patents in which all are in the published stage. She is a life member of various professional societies such as Biomedical society of India, IEI, IEANG, IRED, ISTE and ISCA. She is currently serving as a reviewer in various reputed peer reviewed international journals.
Dr. Palani Thanaraj Krishnan is currently working as Assistant Professor in the Department of Electronics & Instrumentation Engineering, St. Joseph's College of Engineering, Chennai. He has completed his PhD in 2018 in the Faculty of Information and Communication Engineering from Anna University, Chennai. His research areas include Image Processing, Advanced signal processing, Image segmentation, Machine learning, and Deep learning. He has developed deep learning algorithms for performing image classification of medical images for disease diagnosis. He has published his works in many reputed and refereed journals indexed in Web of Science and Scopus.
Prof Dr. med Kurt Ammer was certified as a general medical practitioner in 1978, a consultant for physical medicine and rehabilitation in 1989, and a consultant for physical medicine and rehabilitation (rheumatology) in 1994. He was senior researcher at the Ludwig Boltzmann Research Unit for Physical Diagnostics, Austria, between 1988 and 2004. From 1985 till his retirement in early 2013, he was vice director of the Institute of Physical Medicine and Rehabilitation at the Hanusch hospital in Vienna. He got involved in medical thermography in 1988, and was appointed as secretary and treasurer of the European Association of Thermology in 1990, and currently serves as the EAT treasurer. Since 2002, he has been appointed as external professor at the Medical Imaging Research Unit, University of South Wales, Pontypridd, UK. His research interests focus on rehabilitation medicine and the application and standardization of thermal imaging in medicine.
