Digital Imaging And Communications In Medicine Dicom

Author: Oleg S. Pianykh
Publisher: Springer Science & Business Media
ISBN: 9783642108501
Size: 36.37 MB
Format: PDF, ePub, Docs
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A Practical Introduction and Survival Guide Oleg S. Pianykh. Oleg S. Pianykh
Digital Imaging and Communications in Medicine (DICOM) A Practical
Introduction and Survival Guide Second Edition Harvard Medical School Beth
Israel ...

Digital Imaging And Communications In Medicine Dicom

Author: Oleg S. Pianykh
Publisher: Springer Science & Business Media
ISBN: 3540745718
Size: 44.84 MB
Format: PDF, ePub, Mobi
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This is the first Digital Imaging and Communications in Medicine (DICOM) book to introduce this complex imaging standard from a very practical point of view.

Practical Imaging Informatics

Author: Society for Imaging
Publisher: Springer Science & Business Media
ISBN: 9781441904850
Size: 74.57 MB
Format: PDF, ePub
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Practical Imaging Informatics describes the foundations of information technology and clinical image management, details typical daily operations, and discusses rarer complications and issues.

Applied Medical Image Processing Second Edition

Author: Wolfgang Birkfellner
Publisher: Taylor & Francis
ISBN: 1466555599
Size: 18.17 MB
Format: PDF, ePub, Mobi
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This Second Edition of the bestseller: Contains two brand-new chapters on clinical applications and image-guided therapy Devotes more attention to the subject of color space Includes additional examples from radiology, internal medicine, ...

Pacs

Author: Keith J. Dreyer
Publisher: Springer Science & Business Media
ISBN: 9780387952918
Size: 54.19 MB
Format: PDF, Kindle
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The second edition has been revised and updated to keep pace with the rapidly evolving field of picture archiving and communications systems. This new edition includes: An overview of the latest medical imaging standards.

Marginal Space Learning For Medical Image Analysis

Author: Yefeng Zheng
Publisher: Springer Science & Business
ISBN: 1493906003
Size: 52.57 MB
Format: PDF, Kindle
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This book presents an efficient object detection and segmentation framework, called Marginal Space Learning, which runs at a sub-second speed on a current desktop computer, faster than the state-of-the-art.