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Publicado por A.i.co.s., 1992
Librería: Librodifaccia, Alessandria, AL, Italia
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Añadir al carritoCondición: Buone. italiano Condizioni dell'esterno: Buone Condizioni dell'interno: Buone.
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Añadir al carritoCondición: New. 1st edition NO-PA16APR2015-KAP.
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Librería: Chiron Media, Wallingford, Reino Unido
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Añadir al carritoPaperback. Condición: Brand New. 152 pages. 8.50x5.43x0.37 inches. In Stock.
Publicado por Milano
Librería: Sergio Trippini, Gavirate, VA, Italia
Original o primera edición
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Añadir al carritoLibro vintage in-8°, brossura di pagg 145, Milano 1992. Saggio. Prima edizione. Illustrazioni in bn fuori testo, piega in quarta di copertina, buono stato di conservazione.
Librería: preigu, Osnabrück, Alemania
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Añadir al carritoTaschenbuch. Condición: Neu. Artificial Intelligence in Medical Imaging | From Theory to Clinical Practice | Lia Morra (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2021 | CRC Press | EAN 9781032176468 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.
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Añadir al carritohardcover. Condición: Very Good.
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
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Añadir al carritoGebunden. Condición: New. Lia Morra holds a Ph.D. degree in computer engineering from Politecnico di Torino, Italy. In 2006, she joined im3D to develop computer-aided diagnosis solutions for early cancer detection and screening. From 2014 to 2017, she served as i.
Librería: Biblios, Frankfurt am main, HESSE, Alemania
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Idioma: Inglés
Publicado por Taylor & Francis Ltd Nov 2019, 2019
ISBN 10: 036722917X ISBN 13: 9780367229177
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 245,23
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Añadir al carritoBuch. Condición: Neu. Neuware - This book will explore AI systems being used in medical imaging, one of the most exciting topics in the field. It 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.
Librería: PBShop.store US, Wood Dale, IL, Estados Unidos de America
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Añadir al carritoPAP. Condición: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Añadir al carritoPAP. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
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Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Choice Recommended Title, January 2021This 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 fieldExplores a hot and growing topicProvides an interdisciplinary perspective 166 pp. Englisch.
Librería: moluna, Greven, Alemania
EUR 56,83
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Añadir al carritoCondición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Lia Morra holds a Ph.D. degree in computer engineering from Politecnico di Torino, Italy. In 2006, she joined im3D to develop computer-aided diagnosis solutions for early cancer detection and screening. From 2014 to 2017, she serv.
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 70,74
Cantidad disponible: 1 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Choice Recommended Title, January 2021This 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 fieldExplores a hot and growing topicProvides an interdisciplinary perspective.