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Full Description
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 such common ailments as rheumatoid arthritis (RA), diabetes complications, and fever. It also introduces applications of machine-learning and deep-learning methods in the development of CAD systems.
Key Features:
Covers applications of various image processing techniques in thermal imaging applications for the diagnosis of different medical conditions
Describes the development of a computer diagnostics system (CAD) based on thermographic data
Discusses deep-learning models for accurate diagnosis of various diseases
Includes new aspects in rheumatoid arthritis and diabetes research using 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.
Contents
Chapter 1 Fundamentals of Infrared Thermal Imaging
Chapter 2 Protocol for Standardized Data Collection in Humans
Chapter 3 Basic Approaches of Artificial Intelligence and Machine Learning in Thermal Image Processing
Chapter 4 Thermal Imaging for Arthritis Evaluation in a Small Animal Model
Chapter 5 Thermal Imaging for Inflammatory Arthritis Evaluation
Chapter 6 Potential of Thermal Imaging to Detect Complications in Diabetes: Rationale for Diabetes Screening with Thermal Imaging
Chapter 7 Thermal Imaging in Detection of Fever for Infectious Diseases
Chapter 8 Ethical Aspects in Thermal Imaging Research
