AI for Radiology
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Artificial Intelligence has revolutionised areas of medicine. This book focuses on the integral role of AI in radiology, shedding light on how this technology can enhance patient care and streamline professional workflows.
Oge Marques, PhD, is Professor of Computer Science and Engineering in the College of Engineering and Computer Science, Professor of Biomedical Science (Secondary) in the Charles E. Schmidt College of Medicine, and Professor of Information Technology (by courtesy), in the College of Business at Florida Atlantic University (Boca Raton, FL - USA).
He is the author of 12 technical books, one patent, and more than 130 refereed scientific articles on image processing, medical image analysis, computer vision, artificial intelligence, and machine learning. He is a senior member of both the Institute of Electrical and Electronics Engineers and the Association for Computing Machinery, Fellow of the National Institutes of Health AIM-AHEAD Consortium, Fellow of the Leshner Leadership Institute of the American Association for the Advancement of Science, Tau Beta Pi Eminent Engineer, and member of the honor societies of Sigma Xi, Phi Kappa Phi, and Upsilon Pi Epsilon.
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