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Recent Advances in Computational Methods and Clinical Applications for Spine Imaging (Hardcover, 2015 ed.) Loot Price: R5,061
Discovery Miles 50 610
Recent Advances in Computational Methods and Clinical Applications for Spine Imaging (Hardcover, 2015 ed.): Jianhua Yao, Ben...

Recent Advances in Computational Methods and Clinical Applications for Spine Imaging (Hardcover, 2015 ed.)

Jianhua Yao, Ben Glocker, Tobias Klinder, Shuo Li

Series: Lecture Notes in Computational Vision and Biomechanics, 20

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Loot Price R5,061 Discovery Miles 50 610 | Repayment Terms: R474 pm x 12*

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This book contains the full papers presented at the MICCAI 2014 workshop on Computational Methods and Clinical Applications for Spine Imaging. The workshop brought together scientists and clinicians in the field of computational spine imaging. The chapters included in this book present and discuss the new advances and challenges in these fields, using several methods and techniques in order to address more efficiently different and timely applications involving signal and image acquisition, image processing and analysis, image segmentation, image registration and fusion, computer simulation, image based modeling, simulation and surgical planning, image guided robot assisted surgical and image based diagnosis. The book also includes papers and reports from the first challenge on vertebra segmentation held at the workshop.

General

Imprint: Springer International Publishing AG
Country of origin: Switzerland
Series: Lecture Notes in Computational Vision and Biomechanics, 20
Release date: March 2015
First published: 2015
Editors: Jianhua Yao • Ben Glocker • Tobias Klinder • Shuo Li
Dimensions: 235 x 155 x 18mm (L x W x T)
Format: Hardcover - Cloth over boards
Pages: 259
Edition: 2015 ed.
ISBN-13: 978-3-319-14147-3
Categories: Books > Medicine > Clinical & internal medicine > Musculoskeletal medicine
Books > Medicine > Other branches of medicine > Medical imaging > Radiology
Books > Medicine > Nursing & ancillary services > Biomedical engineering > General
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LSN: 3-319-14147-3
Barcode: 9783319141473

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