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Item Details
Title:
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MEDICAL COMPUTER VISION
RECOGNITION TECHNIQUES AND APPLICATIONS IN MEDICAL IMAGING |
By: |
Bjoern Menze (Editor), Antonio Criminisi (Editor), Georg Langs (Editor) |
Format: |
Paperback |
List price:
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£53.99 |
We currently do not stock this item, please contact the publisher directly for
further information.
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ISBN 10: |
3642184200 |
ISBN 13: |
9783642184208 |
Publisher: |
SPRINGER-VERLAG BERLIN AND HEIDELBERG GMBH & CO. KG |
Pub. date: |
25 January, 2011 |
Series: |
Lecture Notes in Computer Science |
Pages: |
226 |
Description: |
Constitutes the thoroughly refereed post-workshop proceedings of the International Workshop on Medical Computer Vision, MCV 2010, held in Beijing, China, in September 2010 as a satellite event of the 13th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2010. |
Synopsis: |
This book constitutes the thoroughly refereed post-workshop proceedings of the International Workshop on Medical Computer Vision, MCV 2010, held in Beijing, China, in September 2010 as a satellite event of the 13th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2010. The 10 revised full papers and 11 revised poster papers presented were carefully reviewed and selected from 38 initial submissions. The papers explore the use of modern image recognition technology in tasks such as semantic anatomy parsing, automatic segmentation and quantification, anomaly detection and categorization, data harvesting, semantic navigation and visualization, data organization and clustering, and general-purpose automatic understanding of medical images. |
Illustrations: |
20 black & white illustrations, 80 colour illustrations, biography |
Publication: |
Germany |
Imprint: |
Springer-Verlag Berlin and Heidelberg GmbH & Co. K |
Returns: |
Returnable |
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Ramadan and Eid al-Fitr
A celebratory, inclusive and educational exploration of Ramadan and Eid al-Fitr for both children that celebrate and children who want to understand and appreciate their peers who do.
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