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Multi Modality State-of-the-Art Medical Image Segmentation and Registration Methodologies - Volume II (Hardcover, 2011 ed.) Loot Price: R4,915
Discovery Miles 49 150
Repayment Terms: R461 pm x 12*
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Multi Modality State-of-the-Art Medical Image Segmentation and Registration Methodologies - Volume II (Hardcover, 2011 ed.):...

Multi Modality State-of-the-Art Medical Image Segmentation and Registration Methodologies - Volume II (Hardcover, 2011 ed.)

Ayman S. El-Baz, Rajendra Acharya U., Andrew F. Laine, Jasjit S. Suri

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List price R6,386 Loot Price R4,915 Discovery Miles 49 150 | Repayment Terms: R461 pm x 12* You Save R1,471 (23%)

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With the advances in image guided surgery for cancer treatment, the role of image segmentation and registration has become very critical. The central engine of any image guided surgery product is its ability to quantify the organ or segment the organ whether it is a magnetic resonance imaging (MRI) and computed tomography (CT), X-ray, PET, SPECT, Ultrasound, and Molecular imaging modality. Sophisticated segmentation algorithms can help the physicians delineate better the anatomical structures present in the input images, enhance the accuracy of medical diagnosis and facilitate the best treatment planning system designs. The focus of this book in towards the state of the art techniques in the area of image segmentation and registration.

General

Imprint: Springer-Verlag New York
Country of origin: United States
Release date: May 2011
First published: 2011
Editors: Ayman S. El-Baz • Rajendra Acharya U. • Andrew F. Laine • Jasjit S. Suri
Dimensions: 235 x 155 x 21mm (L x W x T)
Format: Hardcover
Pages: 368
Edition: 2011 ed.
ISBN-13: 978-1-4419-8203-2
Categories: Books > Medicine > General issues > Medical equipment & techniques > Medical research
Books > Medicine > Other branches of medicine > Medical imaging > Radiology
Books > Medicine > Nursing & ancillary services > Biomedical engineering > General
Books > Computing & IT > Applications of computing > Image processing > General
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LSN: 1-4419-8203-5
Barcode: 9781441982032

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