Imaging Technologies and Intelligent Algorithms in Medical Applications

This book offers a multidisciplinary perspective and comprehensive coverage of imaging technologies and intelligent algorithms used in medical applications. It focuses on the theory and practical applications of deep learning and traditional machine learning algorithms, specifically geared towards addressing real medical challenges, including feature extraction, segmentation, and multiclass classification of medical images. The book also provides an overview of the principles behind medical imaging technologies that utilize ionizing and non-ionizing radiation, enabling the visualization of internal regions of the human body to identify conditions such as tumors, diseases, injuries, and other anomalies. Coverage also examines the operating principles of these imaging technologies, presents practical case studies, and discusses recent advancements in the field. Imaging Technologies and Intelligent Algorithms in Medical Applications will appeal to a broad audience, including medical professionals, data scientists, clinical researchers, and academics working at the intersection of healthcare and artificial intelligence. The book offers readers theoretical knowledge and practical insights, thereby enhancing their ability to develop, evaluate, or adopt AI-based medical solutions in research and clinical settings.