Langue: anglais
Edité par Medical Info Science Reference, 2022
ISBN 10 : 1668446715 ISBN 13 : 9781668446713
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Ajouter au panierhardcover. Etat : New.
Langue: anglais
Edité par Medical Info Science Reference, 2022
ISBN 10 : 1668446715 ISBN 13 : 9781668446713
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Langue: anglais
Edité par Medical Info Science Reference, 2022
ISBN 10 : 1668446715 ISBN 13 : 9781668446713
Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
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Ajouter au panierEtat : New. In.
Langue: anglais
Edité par Medical Info Science Reference, 2022
ISBN 10 : 1668446715 ISBN 13 : 9781668446713
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Ajouter au panierhardcover. Etat : New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
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Ajouter au panierEtat : New. 2022. hardcover. . . . . .
Langue: anglais
Edité par Medical Info Science Reference, 2022
ISBN 10 : 1668446715 ISBN 13 : 9781668446713
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Ajouter au panierHardback. Etat : 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.
Langue: anglais
Edité par Medical Info Science Reference, 2022
ISBN 10 : 1668446715 ISBN 13 : 9781668446713
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
EUR 433,56
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Ajouter au panierEtat : As New. Unread book in perfect condition.
Vendeur : moluna, Greven, Allemagne
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Ajouter au panierHardback. Etat : 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.
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Ajouter au panierEtat : New. 2022. hardcover. . . . . . Books ship from the US and Ireland.
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Ajouter au panierHRD. Etat : New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Ajouter au panierHRD. Etat : New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Langue: anglais
Edité par Medical Info Science Reference, 2022
ISBN 10 : 1668446715 ISBN 13 : 9781668446713
Vendeur : Revaluation Books, Exeter, Royaume-Uni
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Ajouter au panierHardcover. Etat : Brand New. 315 pages. 10.00x7.00x0.63 inches. In Stock. This item is printed on demand.
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Ajouter au panierBuch. Etat : 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.