Hardcover. Condizione: new. New Copy. Customer Service Guaranteed.
Da: Chiron Media, Wallingford, Regno Unito
EUR 100,71
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Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 134,37
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Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 140,35
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Aggiungi al carrelloCondizione: New. In.
Lingua: Inglese
Editore: Elsevier Science Publishing Co Inc, 2016
ISBN 10: 0128040769 ISBN 13: 9780128040768
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 125,88
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Aggiungi al carrelloHardback. Condizione: New. New copy - Usually dispatched within 4 working days.
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 155,13
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 140,34
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 155,60
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Da: moluna, Greven, Germania
EUR 149,96
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Aggiungi al carrelloGebunden. Condizione: New. Demonstrates the application of cutting-edge machine learning techniques to medical imaging problems Covers an array of medical imaging applications including computer assisted diagnosis, image guided radiation therapy, landmark detection,.
Da: Brook Bookstore On Demand, Napoli, NA, Italia
EUR 100,13
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Aggiungi al carrelloCondizione: new. Questo è un articolo print on demand.
Da: Revaluation Books, Exeter, Regno Unito
EUR 115,37
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Aggiungi al carrelloHardcover. Condizione: Brand New. 1st edition. 512 pages. 9.25x7.75x1.25 inches. In Stock. This item is printed on demand.
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 150,00
Quantità: 2 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Machine Learning and Medical Imaging presents state-of- the-art machine learning methods in medical image analysis. It first summarizes cutting-edge machine learning algorithms in medical imaging, including not only classical probabilistic modeling and learning methods, but also recent breakthroughs in deep learning, sparse representation/coding, and big data hashing. In the second part leading research groups around the world present a wide spectrum of machine learning methods with application to different medical imaging modalities, clinical domains, and organs. The biomedical imaging modalities include ultrasound, magnetic resonance imaging (MRI), computed tomography (CT), histology, and microscopy images. The targeted organs span the lung, liver, brain, and prostate, while there is also a treatment of examining genetic associations. Machine Learning and Medical Imaging is an ideal reference for medical imaging researchers, industry scientists and engineers, advanced undergraduate and graduate students, and clinicians. Englisch.
Lingua: Inglese
Editore: Elsevier Science Publishing Co Inc, 2016
ISBN 10: 0128040769 ISBN 13: 9780128040768
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 167,22
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Aggiungi al carrelloHardback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 158,00
Quantità: 2 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Machine Learning and Medical Imaging presents state-of- the-art machine learning methods in medical image analysis. It first summarizes cutting-edge machine learning algorithms in medical imaging, including not only classical probabilistic modeling and learning methods, but also recent breakthroughs in deep learning, sparse representation/coding, and big data hashing. In the second part leading research groups around the world present a wide spectrum of machine learning methods with application to different medical imaging modalities, clinical domains, and organs. The biomedical imaging modalities include ultrasound, magnetic resonance imaging (MRI), computed tomography (CT), histology, and microscopy images. The targeted organs span the lung, liver, brain, and prostate, while there is also a treatment of examining genetic associations. Machine Learning and Medical Imaging is an ideal reference for medical imaging researchers, industry scientists and engineers, advanced undergraduate and graduate students, and clinicians.