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
