Marginal Space Learning for Medical Image Analysis : Efficient Detection and Segmentation of Anatomical Structures

Language: English

Published by Springer New York, 2016

1493955756 / 9781493955756

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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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Druck auf Anfrage Neuware - Printed after ordering - Automatic detection and segmentation of anatomical structures in medical images are prerequisites to subsequent image measurements and disease quantification, and therefore have multiple clinical applications. 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. Trained with a sufficient number of data sets, Marginal Space Learning is also robust under imaging artifacts, noise and anatomical variations. The book showcases 35 clinical applications of Marginal Space Learning and its extensions to detecting and segmenting various anatomical structures, such as the heart, liver, lymph nodes and prostate in major medical imaging modalities (CT, MRI, X-Ray and Ultrasound), demonstrating its efficiency and robustness.

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Title
Marginal Space Learning for Medical Image Analysis : Efficient Detection and Segmentation of Anatomical Structures
Author
Dorin Comaniciu
Publisher
Springer New York
Publication year
2016
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
1493955756
ISBN 13
9781493955756
Item weight
441 grams
Dimensions
235x155x16 mm

AHA-BUCH GmbH

Einbeck, Germany

5-star seller

AbeBooks seller since August 14, 2006

Shipping rates from Germany to U.S.A.

Item30 to 40 business days7 to 14 business days
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Einbeck, Germany 37574