Digital Image Processing for Medical Applications (Hardcover)

Geoff Dougherty

ISBN 10: 0521860857 ISBN 13: 9780521860857
Edité par Cambridge University Press, Cambridge, 2009
Neuf(s) Hardcover

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Hardcover. Image processing is a hands-on discipline, and the best way to learn is by doing. This text takes its motivation from medical applications and uses real medical images and situations to illustrate and clarify concepts and to build intuition, insight and understanding. Designed for advanced undergraduates and graduate students who will become end-users of digital image processing, it covers the basics of the major clinical imaging modalities, explaining how the images are produced and acquired. It then presents the standard image processing operations, focusing on practical issues and problem solving. Crucially, the book explains when and why particular operations are done, and practical computer-based activities show how these operations affect real images. All images, links to the public-domain software ImageJ and custom plug-ins, and selected solutions are available from This practical book for advanced undergraduates and graduate students explains the concepts and the effective use of image processing tools for medical applications. Real medical images and hands-on activities are used to develop the reader's skill and confidence. All images, public-domain software and solutions available from Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9780521860857

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Synopsis :

Hands-on text for a first course aimed at end-users, focusing on concepts, practical issues and problem solving.

À propos de l?auteur: Geoff Dougherty is Professor of Applied Physics and Medical Imaging at California State University Channel Islands where he teaches both undergraduate and graduate courses in image processing, medical imaging and pattern recognition. He has been conducting research in the applications of image processing and analysis to medical images for over 15 years, and is the author of more than 60 publications. He is a Senior Member of the IEEE, a Fellow of the IET and a Member of the American Association of Physicists in Medicine (AAPM).

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Détails bibliographiques

Titre : Digital Image Processing for Medical ...
Éditeur : Cambridge University Press, Cambridge
Date d'édition : 2009
Reliure : Hardcover
Etat : new
Edition : Edition originale

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Edité par Cambridge University Press, 2009
ISBN 10 : 0521860857 ISBN 13 : 9780521860857
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Dougherty, Geoff
Edité par Cambridge University Press, 2009
ISBN 10 : 0521860857 ISBN 13 : 9780521860857
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Geoff Dougherty
ISBN 10 : 0521860857 ISBN 13 : 9780521860857
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Hardcover. Etat : new. Hardcover. Image processing is a hands-on discipline, and the best way to learn is by doing. This text takes its motivation from medical applications and uses real medical images and situations to illustrate and clarify concepts and to build intuition, insight and understanding. Designed for advanced undergraduates and graduate students who will become end-users of digital image processing, it covers the basics of the major clinical imaging modalities, explaining how the images are produced and acquired. It then presents the standard image processing operations, focusing on practical issues and problem solving. Crucially, the book explains when and why particular operations are done, and practical computer-based activities show how these operations affect real images. All images, links to the public-domain software ImageJ and custom plug-ins, and selected solutions are available from This practical book for advanced undergraduates and graduate students explains the concepts and the effective use of image processing tools for medical applications. Real medical images and hands-on activities are used to develop the reader's skill and confidence. All images, public-domain software and solutions available from Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9780521860857

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