An Introduction Seeram, Euclid. creator author. aut http://id.loc.gov/vocabulary/relators/aut Kanade, Vijay. author. aut http://id.loc.gov/vocabulary/relators/aut SpringerLink (Online service) text sz 2024 1st ed. 2024. monographic eng

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electronic resource

access XIX, 212 p. 93 illus., 85 illus. in color. online resource. This book covers the principles, concepts, and applications of artificial intelligence in medical imaging technologies, specifically in the context of diagnostic imaging, such as radiography and radiological technology. First, artificial intelligence and its subsets machine learning and deep learning are described followed by a discussion of applications of these AI principles in medical imaging technologies. Finally, ethical questions, regulatory aspects, and future trends and challenges are also reviewed in this textbook. This book is intended for both students and practitioners in radiological technology, radiography, radiation therapy, nuclear medicine technology, diagnostic medical sonography, and biomedical engineering technology. Furthermore, residents in radiology, and medical physics students and related healthcare personnel (administrators and managers for example) may find this book useful. . Chapter 1-Artificial Intelligence in Medical Imaging: A Brief Glance -- Chapter 2-AI Fundamentals -- Chapter 3-Principles of Machine Learning -- Chapter 4-Principles of Deep Learning -- Chapter 5-Image Processing and Analysis -- Chapter 6-AI in CT Image Reconstruction -- Chapter 7-AI Applications in Medical Imaging -- Chapter 8-Ethical and Regulatory Considerations -- Chapter 9-Future Trends and Challenges. by Euclid Seeram, Vijay Kanade. Radiology Artificial intelligence Imaging systems in biology Radiology Artificial Intelligence Biological Imaging R895-920 9783031640490 https://doi.org/10.1007/978-3-031-64049-0 https://doi.org/10.1007/978-3-031-64049-0 240814 20251030112853.0 978-3-031-64049-0