Proceedings of 2023 International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2023)
Medical Imaging and Computer-Aided Diagnosis
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Beschreibung
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.
Produktdetails
| ISBN | 9789819713356 |
| Verlag | Springer Nature Singapore |
| Erscheinungsdatum | 05.03.2024 |
| Sprache | Englisch |
| Mitwirkende | Ruidan Su (Herausgeber/in), Yu-Dong Zhang (Herausgeber/in), Alejandro F. Frangi (Herausgeber/in) |