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Deformable Models

Overview of attention for book
Cover of 'Deformable Models'

Table of Contents

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    Book Overview
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    Chapter 1 T-Surfaces Framework For Offset Generation And Semiautomatic 3d Segmentation
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    Chapter 2 Parametric Contour Model In Medical Image Segmentation
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    Chapter 3 Deformable Models And Their Application In Segmentation Of Imaged Pathology Specimens
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    Chapter 4 Image Segmentation Using The Level Set Method
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    Chapter 5 Parallel Co-Volume Subjective Surface Method For 3d Medical Image Segmentation
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    Chapter 6 Volumetric Segmentation Using Shape Models In The Level Set Framework
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    Chapter 7 Medical Image Segmentation Based On Deformable Models And Its Applications
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    Chapter 8 Breast Strain Imaging: A Cad Framework
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    Chapter 9 Alternate Spaces For Model Deformation: Application Of Stop And Go Active Models To Medical Images
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    Chapter 10 Deformable Model-Based Segmentation Of The Prostate From Ultrasound Images
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    Chapter 11 Segmentation Of Brain Mr Images Using J-Divergence Based Active Contour Models
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    Chapter 12 Morphometric Analysis Of Normal And Pathologic Brain Structure Via High-Dimensional Shape Transformations
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    Chapter 13 Efficient Kernel Density Estimation Of Shape And Intensity Priors For Level Set Segmentation
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    Chapter 14 Volumetric Mri Analysis Of Dyslexic Subjects Using A Level Set Framework
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    Chapter 15 Analysis Of 4-D Cardiac Mr Data With Nurbs Deformable Models: Temporal Fitting Strategy And Nonrigid Registration
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    Chapter 16 Robust Neuroimaging-Based Classification Techniques Of Autistic Vs. Typically Developing Brain
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Title
Deformable Models
Published by
Springer Science & Business Media, August 2007
DOI 10.1007/978-0-387-68343-0
ISBNs
978-0-387-31204-0, 978-0-387-68343-0
Authors

Jasjit S. Suri, Aly A. Farag, Suri, Jasjit S., Farag, Aly A.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Colombia 1 2%
Australia 1 2%
Canada 1 2%
China 1 2%
United States 1 2%
Unknown 46 90%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 14%
Student > Ph. D. Student 5 10%
Student > Bachelor 2 4%
Researcher 2 4%
Student > Doctoral Student 1 2%
Other 5 10%
Unknown 29 57%
Readers by discipline Count As %
Computer Science 10 20%
Engineering 7 14%
Mathematics 2 4%
Business, Management and Accounting 1 2%
Chemical Engineering 1 2%
Other 0 0%
Unknown 30 59%