Proceedings of 2023 International Conference on Medical Imaging and Computer-Aided Diagnosis: Medical Imaging and Computer-Aided Diagnosis (2024) (Lecture Notes in Electrical Engineering #1166)

By: Ruidan Su and Yu-Dong Zhang and Alejandro F. Frangi

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Synopsis: 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.