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Deep Neural Networks for Multimodal Imaging and Biomedical Applications (Advances in Bioinformatics and Biomedical Engineering)
Published by Medical Info Science Reference, 2020
ISBN 10: 179983591X ISBN 13: 9781799835912
Language: English
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 336.30
US$ 15.76 shipping from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
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Deep Neural Networks for Multimodal Imaging and Biomedical Applications
Published by Medical Info Science Reference, 2020
ISBN 10: 179983591X ISBN 13: 9781799835912
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 336.29
US$ 19.74 shipping from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New.
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Deep Neural Networks for Multimodal Imaging and Biomedical Applications
Published by Medical Info Science Reference, 2020
ISBN 10: 179983591X ISBN 13: 9781799835912
Language: English
Condition: New.
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Deep Neural Networks for Multimodal Imaging and Biomedical Applications
Published by Medical Info Science Reference, 2020
ISBN 10: 179983591X ISBN 13: 9781799835912
Language: English
Condition: As New. Unread book in perfect condition.
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Deep Neural Networks for Multimodal Imaging and Biomedical Applications
Published by Medical Info Science Reference, 2020
ISBN 10: 179983591X ISBN 13: 9781799835912
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 381.37
US$ 19.74 shipping from United Kingdom to U.S.A.Quantity: Over 20 available
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Deep Neural Networks for Multimodal Imaging and Biomedical Applications
Published by Medical Information Science Reference, 2020
ISBN 10: 179983591X ISBN 13: 9781799835912
Language: English
Gebunden. Condition: New. Presents research exploring the theoretical and practical aspects of emerging data computing methods and imaging techniques within healthcare and biomedicine. The publication provides a complete set of information in a single module starting from developing.
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Deep Neural Networks for Multimodal Imaging and Biomedical Applications
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Seller rating 5 out of 5 stars
Hardback. Condition: New.
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Deep Neural Networks for Multimodal Imaging and Biomedical Applications
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 5 out of 5 stars
US$ 350.55
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Add to basketHRD. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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HRD. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Deep Neural Networks for Multimodal Imaging and Biomedical Applications
Published by Medical Information Science Reference, 2020
ISBN 10: 179983591X ISBN 13: 9781799835912
Language: English
Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The field of healthcare is seeing a rapid expansion of technological advancement within current medical practices. The implementation of technologies including neural networks, multi-model imaging, genetic algorithms, and soft computing are assisting in predicting and identifying diseases, diagnosing cancer, and the examination of cells. Implementing these biomedical technologies remains a challenge for hospitals worldwide, creating a need for research on the specific applications of these computational techniques. Deep Neural Networks for Multimodal Imaging and Biomedical Applications provides research exploring the theoretical and practical aspects of emerging data computing methods and imaging techniques within healthcare and biomedicine. The publication provides a complete set of information in a single module starting from developing deep neural networks to predicting disease by employing multi-modal imaging. Featuring coverage on a broad range of topics such as prediction models, edge computing, and quantitative measurements, this book is ideally designed for researchers, academicians, physicians, IT consultants, medical software developers, practitioners, policymakers, scholars, and students seeking current research on biomedical advancements and developing computational methods in healthcare.
