Lingua: Inglese
Editore: Medical Info Science Reference, 2022
ISBN 10: 1668446715 ISBN 13: 9781668446713
Da: GreatBookPricesUK, Woodford Green, Regno Unito
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Da: Chiron Media, Wallingford, Regno Unito
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Lingua: Inglese
Editore: Medical Info Science Reference, 2022
ISBN 10: 1668446715 ISBN 13: 9781668446713
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 385,91
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Lingua: Inglese
Editore: Medical Info Science Reference, 2022
ISBN 10: 1668446715 ISBN 13: 9781668446713
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 372,90
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Lingua: Inglese
Editore: Medical Info Science Reference, 2022
ISBN 10: 1668446715 ISBN 13: 9781668446713
Da: Mispah books, Redhill, SURRE, Regno Unito
EUR 362,70
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Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
EUR 418,35
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Lingua: Inglese
Editore: Medical Info Science Reference, 2022
ISBN 10: 1668446715 ISBN 13: 9781668446713
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 435,64
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Da: Rarewaves.com USA, London, LONDO, Regno Unito
EUR 441,98
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Aggiungi al carrelloHardback. Condizione: New. The healthcare industry is predominantly moving towards affordable, accessible, and quality health care. All organizations are striving to build communication compatibility among the wide range of devices that have operated independently. Recent developments in electronic devices have boosted the research in the medical imaging field. It incorporates several medical imaging techniques and achieves an important goal for health improvement all over the world. Despite the significant advances in high-resolution medical instruments, physicians cannot always obtain the full amount of information directly from the equipment outputs, and a large amount of data cannot be easily exploited without a computer. Machine Learning and AI Techniques in Interactive Medical Image Analysis discusses how clinical efficiency can be improved by investigating the different types of intelligent techniques and systems to get more reliable and accurate diagnostic conclusions. This book further introduces segmentation techniques to locate suspicious areas in medical images and increase the segmentation accuracy. Covering topics such as computer-aided detection, intelligent techniques, and machine learning, this premier reference source is a dynamic resource for IT specialists, computer scientists, diagnosticians, imaging specialists, medical professionals, hospital administrators, medical students, medical technicians, librarians, researchers, and academicians.
Lingua: Inglese
Editore: Medical Info Science Reference, 2022
ISBN 10: 1668446715 ISBN 13: 9781668446713
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 434,00
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Da: moluna, Greven, Germania
EUR 391,09
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Da: Rarewaves.com UK, London, Regno Unito
EUR 415,51
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Aggiungi al carrelloHardback. Condizione: New. The healthcare industry is predominantly moving towards affordable, accessible, and quality health care. All organizations are striving to build communication compatibility among the wide range of devices that have operated independently. Recent developments in electronic devices have boosted the research in the medical imaging field. It incorporates several medical imaging techniques and achieves an important goal for health improvement all over the world. Despite the significant advances in high-resolution medical instruments, physicians cannot always obtain the full amount of information directly from the equipment outputs, and a large amount of data cannot be easily exploited without a computer. Machine Learning and AI Techniques in Interactive Medical Image Analysis discusses how clinical efficiency can be improved by investigating the different types of intelligent techniques and systems to get more reliable and accurate diagnostic conclusions. This book further introduces segmentation techniques to locate suspicious areas in medical images and increase the segmentation accuracy. Covering topics such as computer-aided detection, intelligent techniques, and machine learning, this premier reference source is a dynamic resource for IT specialists, computer scientists, diagnosticians, imaging specialists, medical professionals, hospital administrators, medical students, medical technicians, librarians, researchers, and academicians.
Da: Kennys Bookstore, Olney, MD, U.S.A.
Condizione: New. 2022. hardcover. . . . . . Books ship from the US and Ireland.
Da: PBShop.store US, Wood Dale, IL, U.S.A.
EUR 388,24
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Aggiungi al carrelloHRD. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
EUR 392,53
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Lingua: Inglese
Editore: Medical Info Science Reference, 2022
ISBN 10: 1668446715 ISBN 13: 9781668446713
Da: Revaluation Books, Exeter, Regno Unito
EUR 454,25
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Aggiungi al carrelloHardcover. Condizione: Brand New. 315 pages. 10.00x7.00x0.63 inches. In Stock. This item is printed on demand.
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 406,89
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Aggiungi al carrelloBuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The healthcare industry is predominantly moving towards affordable, accessible, and quality health care. All organizations are striving to build communication compatibility among the wide range of devices that have operated independently. Recent developments in electronic devices have boosted the research in the medical imaging field. It incorporates several medical imaging techniques and achieves an important goal for health improvement all over the world. Despite the significant advances in high-resolution medical instruments, physicians cannot always obtain the full amount of information directly from the equipment outputs, and a large amount of data cannot be easily exploited without a computer. Machine Learning and AI Techniques in Interactive Medical Image Analysis discusses how clinical efficiency can be improved by investigating the different types of intelligent techniques and systems to get more reliable and accurate diagnostic conclusions. This book further introduces segmentation techniques to locate suspicious areas in medical images and increase the segmentation accuracy. Covering topics such as computer-aided detection, intelligent techniques, and machine learning, this premier reference source is a dynamic resource for IT specialists, computer scientists, diagnosticians, imaging specialists, medical professionals, hospital administrators, medical students, medical technicians, librarians, researchers, and academicians.