Advanced Algorithmic Approaches to Medical Image Segmentation

State-Of-The-Art Applications in Cardiology, Neurology, Mammography and Pathology

By: J. Suri, S. Kamaledin Setarehdan, Jasjit Suri (Editor)

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Hardcover | 11 December 2001 | Edition Number 2002

At a Glance

Hardcover
668 Pages

Dimensions(cm)
23.39 x 15.6 x 3.66

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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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You Can Find This Book In

Non-Fiction Medicine Other Branches of Medicine Medical Imaging Psychology Cognition & Cognitive Psychology Clinical & Internal Medicine Medical Diagnosis Computing & I.T.Graphical & Digital Media Applications Computer Science Artificial Intelligence

Pattern Recognition Computer Programming & Software Development Image Processing Pathology Cardiovascular Medicine Computer Vision

The Contributors
Principles of Image Generation	p. 1
Segmentation in Echocardiographic Images	p. 64
Cardiac Boundary Segmentation	p. 131
Brain Segmentation Techniques	p. 228
Segmentation for Multiple Sclerosis Lesion	p. 318
Finite Mixture Models	p. 341
MR Spectroscopy	p. 362
Fast WM/GM Boundary Estimation	p. 416
Digital Mammography Segmentation	p. 440
Cell Image Segmentation for Diagnostic Pathology	p. 541
The Future in Segmentation	p. 559
Bibliography	p. 573
Index	p. 649
Table of Contents provided by Blackwell. All Rights Reserved.

Advanced Algorithmic Approaches to Medical Image Segmentation

State-Of-The-Art Applications in Cardiology, Neurology, Mammography and Pathology

At a Glance

Hardcover

Shipping

How to return your order

Defective items

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