Advanced Algorithmic Approaches to Medical Image Segmentation

Kamaledin Setarehdan, S.|Singh, Sameer

ISBN 10: 1447110439 ISBN 13: 9781447110439
Published by Springer London, 2012
New Soft cover

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Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. No other book deals exclusively with the subject of medical image segmentationIt discusses state-of-the-art techniques, comprising contributions from authors from both industry and academiaMedical imaging is an important topic and plays a key role i. Seller Inventory # 4183929

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Synopsis:

Medical imaging is an important topic which is generally recognised as key to better diagnosis and patient care. It has experienced an explosive growth over the last few years due to imaging modalities such as X-rays, computed tomography (CT), magnetic resonance (MR) imaging, and ultrasound.
This book focuses primarily on state-of-the-art model-based segmentation techniques which are applied to cardiac, brain, breast and microscopic cancer cell imaging. It includes contributions from authors based in both industry and academia and presents a host of new material including algorithms for:
- brain segmentation applied to MR;
- neuro-application using MR;
- parametric and geometric deformable models for brain segmentation;
- left ventricle segmentation and analysis using least squares and constrained least squares models for cardiac X-rays;
- left ventricle analysis in echocardioangiograms;
- breast lesion detection in digital mammograms;
detection of cells in cell images.
As an overview of the latest techniques, this book will be of particular interest to students and researchers in medical engineering, image processing, computer graphics, mathematical modelling and data analysis. It will also be of interest to researchers in the fields of mammography, cardiology, pathology and neurology.

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Bibliographic Details

Title: Advanced Algorithmic Approaches to Medical ...
Publisher: Springer London
Publication Date: 2012
Binding: Soft cover
Condition: New

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