Artificial Intelligence-based Infrared Thermal Image Processing and its Applications [Paperback]

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 arthritis, diabetes, and fever. It introduces applications of machine and deep learning methods, and convolutional neural networks in the development of CAD system.

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

Infrared thermography is a fast and non-invasive technology that provides a map of the temperature distribution on the bodys 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 diagnol³æ