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Artificial Intelligence in Medical Imaging - From Theory to Clinical Practice (Hardcover)
Loot Price: R4,426
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Artificial Intelligence in Medical Imaging - From Theory to Clinical Practice (Hardcover)
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Choice Recommended Title, January 2021 This book, written by
authors with more than a decade of experience in the design and
development of artificial intelligence (AI) systems in medical
imaging, will guide readers in the understanding of one of the most
exciting fields today. After an introductory description of
classical machine learning techniques, the fundamentals of deep
learning are explained in a simple yet comprehensive manner. The
book then proceeds with a historical perspective of how medical AI
developed in time, detailing which applications triumphed and which
failed, from the era of computer aided detection systems on to the
current cutting-edge applications in deep learning today, which are
starting to exhibit on-par performance with clinical experts. In
the last section, the book offers a view on the complexity of the
validation of artificial intelligence applications for commercial
use, describing the recently introduced concept of software as a
medical device, as well as good practices and relevant
considerations for training and testing machine learning systems
for medical use. Open problematics on the validation for public use
of systems which by nature continuously evolve through new data is
also explored. The book will be of interest to graduate students in
medical physics, biomedical engineering and computer science, in
addition to researchers and medical professionals operating in the
medical imaging domain, who wish to better understand these
technologies and the future of the field. Features: An accessible
yet detailed overview of the field Explores a hot and growing topic
Provides an interdisciplinary perspective
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