Proceedings of 2023 International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2023) Medical Imaging and Computer-Aided Diagnosis / [electronic resource] : edited by Ruidan Su, Yu-Dong Zhang, Alejandro F. Frangi. - 1st ed. 2024. - XIV, 406 p. 171 illus., 138 illus. in color. online resource. - Lecture Notes in Electrical Engineering, 1166 1876-1119 ; . - Lecture Notes in Electrical Engineering, 1166 .

Medical Imaging -- Computer Aided Detection/Diagnosis -- Machine learning and Deep learning -- Others.

This book covers virtually all aspects of image formation in medical imaging, including systems based on ionizing radiation (x-rays, gamma rays) and non-ionizing techniques (ultrasound, optical, thermal, magnetic resonance, and magnetic particle imaging) alike. In addition, it discusses the development and application of computer-aided detection and diagnosis (CAD) systems in medical imaging. This book includes the state-of-the-art research of computer-aided diagnosis systems with aritificial intelligence. Given its coverage, the book provides both a forum and valuable resource for researchers involved in image formation, experimental methods, image performance, segmentation, pattern recognition, feature extraction, classifier design, machine learning / deep learning, radiomics, CAD workstation design, human-computer interaction, databases, and performance evaluation.

9789819713356

10.1007/978-981-97-1335-6 doi


Image processing--Digital techniques.
Computer vision.
Application software.
Computer Imaging, Vision, Pattern Recognition and Graphics.
Computer and Information Systems Applications.

TA1501-1820 TA1634

006