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Advanced Algorithmic Approaches to Medical Image Segmentation

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Cover of 'Advanced Algorithmic Approaches to Medical Image Segmentation'

Table of Contents

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    Book Overview
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    Chapter 1 Basic Principles of Image Generation for Ultrasound, X-Rays, Magnetic Resonance, Computed Tomography and Positron Emission Tomography
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    Chapter 2 Segmentation in Echocardiographic Images
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    Chapter 3 Segmentation and Quantification Techniques for Fitting Computer Vision Models to Cardiac MR, CT, X-Ray and PET Image Data
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    Chapter 4 Advances in Computer Vision, Graphics, Image Processing and Pattern Recognition Techniques for MR Brain Cortical Segmentation and Reconstruction: A Review Toward functional MRI (fMRI)
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    Chapter 5 Segmentation Techniques in the Quantification of Multiple Sclerosis Lesions in MRI
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    Chapter 6 Finite Mixture Models
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    Chapter 7 Application of Segmentation in Localized MR Chemical Shift Imaging and MR Spectroscopy
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    Chapter 8 Fast WM/GM Boundary Segmentation From MR Images Using The Relationship Between Parametric and Geometric Deformable Models
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    Chapter 9 Medical Image Segmentation in Digitial Mammography
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    Chapter 10 Cell Image Segmentation for Diagnostic Pathology
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    Chapter 11 A Note on Future Research in Segmentation Techniques Applied to Neurology, Cardiology, Mammography and Pathology
Attention for Chapter 5: Segmentation Techniques in the Quantification of Multiple Sclerosis Lesions in MRI
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Chapter title
Segmentation Techniques in the Quantification of Multiple Sclerosis Lesions in MRI
Chapter number 5
Book title
Advanced Algorithmic Approaches to Medical Image Segmentation
Published by
Springer, London, January 2002
DOI 10.1007/978-0-85729-333-6_5
Book ISBNs
978-1-4471-1043-9, 978-0-85729-333-6
Authors

Rakesh Sharma, Jasjit S. Suri, Ponnada A. Narayana

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