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Proceedings of 2023 International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2023)[electronic resource] :Medical Imaging and Computer-Aided Diagnosis /edited by Ruidan Su, Yu-Dong Zhang, Alejandro F. Frangi

Su Ruidan. editor Zhang Yu-Dong. editor Frangi Alejandro F. editor

1st ed. 2024.

XIV, 406 p 171 illus, 138 illus in color online resource.

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.

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

9789819713356

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