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Non-Linear Filters for Mammogram Enhancement

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Cover of 'Non-Linear Filters for Mammogram Enhancement'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction
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    Chapter 2 Breast Cancer and Mammographic Anomalies
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    Chapter 3 Computer-aided Analysis of Mammograms
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    Chapter 4 Mammogram Enhancement and Associated Challenges
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    Chapter 5 Contrast Stretching Techniques for Enhancement of Mammograms
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    Chapter 6 Region-Based and Feature Based Mammogram Enhancement Techniques
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    Chapter 7 Non-Linear Enhancement Techniques for Mammograms
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    Chapter 8 State-of-the-Art Techniques for Mammogram Enhancement: A Comprehensive Discussion of Emerging Research Gaps and Remedial Solution
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    Chapter 9 Performance Evaluation of Mammogram Enhancement Approaches
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    Chapter 10 Quantitative Metrics for Mammographic Image Quality Assessment
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    Chapter 11 Mammogram Benchmarking Databases
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    Chapter 12 Design Objectives and Methodology for Computer-aided Analysis of Mammograms
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    Chapter 13 Non-Linear Polynomial Filters: Overview, Evolution and Proposed Mathematical Formulation
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    Chapter 14 Non-Linear Polynomial Filters for Contrast Enhancement of Mammograms
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    Chapter 15 Non-Linear Polynomial Filters for Edge Enhancement of Mammograms
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    Chapter 16 Human Visual System Based Unsharp Masking for Enhancement of Mammograms
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    Chapter 17 Mobile Mammography: Technological Improvements Using Non-Linear Polynomial Filters
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    Chapter 18 Recapitulation: Main Contributions, Impact and Future Scope
Attention for Chapter 11: Mammogram Benchmarking Databases
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Chapter title
Mammogram Benchmarking Databases
Chapter number 11
Book title
Non-Linear Filters for Mammogram Enhancement
Published by
Springer, Singapore, January 2020
DOI 10.1007/978-981-15-0442-6_11
Book ISBNs
978-9-81-150441-9, 978-9-81-150442-6

Vikrant Bhateja, Mukul Misra, Shabana Urooj, Bhateja, Vikrant, Misra, Mukul, Urooj, Shabana

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%
Researcher 1 50%
Readers by discipline Count As %
Computer Science 2 100%