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Computational Modeling of Objects Presented in Images. Fundamentals, Methods, and Applications

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Table of Contents

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    Book Overview
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    Chapter 1 Endpoint-Based Thinning with Designating Safe Skeletal Points
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    Chapter 2 Structuring Digital Plane by Closure Operators Associated with n -ary Relations
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    Chapter 3 Maximal P-simple Sets on (8,4) Pictures
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    Chapter 4 An Immersed Boundary Approach for the Numerical Analysis of Objects Represented by Oriented Point Clouds
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    Chapter 5 Pure Hexagonal Context-Free Grammars Generating Hexagonal Patterns
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    Chapter 6 Multimaterial Tomography: Reconstruction from Decomposed Projection Sets
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    Chapter 7 Sequential Projection Selection Methods for Binary Tomography
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    Chapter 8 Variants of Simulated Annealing for Strip Constrained Binary Tomography
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    Chapter 9 Automatic Segmentation and Quantitative Analysis of Irradiated Zebrafish Embryos
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    Chapter 10 Classification of Breast Lesions Using Quantitative Dynamic Contrast Enhanced-MRI
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    Chapter 11 Recognizing Emotions with EmotionalDAN
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    Chapter 12 Clustering Functional MRI Patterns with Fuzzy and Competitive Algorithms
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    Chapter 13 Applicability of Deep Learned vs Traditional Features for Depth Based Classification
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    Chapter 14 Effect of Image View for Mammogram Mass Classification – An Extreme Learning Based Approach
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    Chapter 15 Fast Object Detector Based on Convolutional Neural Networks
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    Chapter 16 Applying Computational Geometry to Designing an Occlusal Splint
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Title
Computational Modeling of Objects Presented in Images. Fundamentals, Methods, and Applications
Published by
Springer International Publishing, July 2019
DOI 10.1007/978-3-030-20805-9
ISBNs
978-3-03-020804-2, 978-3-03-020805-9
Editors

Barneva, Reneta P., Brimkov, Valentin E., Kulczycki, Piotr, Tavares, João Manuel R. S.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 50%
Unknown 1 50%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 1 50%
Unknown 1 50%