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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 11: A Note on Future Research in Segmentation Techniques Applied to Neurology, Cardiology, Mammography and Pathology
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Chapter title
A Note on Future Research in Segmentation Techniques Applied to Neurology, Cardiology, Mammography and Pathology
Chapter number 11
Book title
Advanced Algorithmic Approaches to Medical Image Segmentation
Published by
Springer, London, January 2002
DOI 10.1007/978-0-85729-333-6_11
Book ISBNs
978-1-4471-1043-9, 978-0-85729-333-6
Authors

Jasjit S. Suri, Sameer Singh, S. K. Setarehdan, Rakesh Sharma, Keir Bovis, Dorin Comaniciu, Laura Reden

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 33%
Unknown 2 67%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 67%
Student > Ph. D. Student 1 33%
Readers by discipline Count As %
Engineering 2 67%
Physics and Astronomy 1 33%

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