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Title
Non-linear filters for mammogram enhancement : a robust computer-aided analysis framework for early detection of breast cancer / Vikrant Bhateja, Mukul Misra, Shabana Urooj.
ISBN
9789811504426 (electronic book)
9811504423 (electronic book)
9789811504419
9811504415
Published
Singapore : Springer, [2020]
Language
English
Description
1 online resource (xxviii, 239 pages) : illustrations.
Item Number
10.1007/978-981-15-0442-6 doi
Call Number
RG493.5.R33 B43 2020
Dewey Decimal Classification
618.1/90754
Summary
This book presents non-linear image enhancement approaches to mammograms as a robust computer-aided analysis solution for the early detection of breast cancer, and provides a compendium of non-linear mammogram enhancement approaches: from the fundamentals to research challenges, practical implementations, validation, and advances in applications. The book includes a comprehensive discussion on breast cancer, mammography, breast anomalies, and computer-aided analysis of mammograms. It also addresses fundamental concepts of mammogram enhancement and associated challenges, and features a detailed review of various state-of-the-art approaches to the enhancement of mammographic images and emerging research gaps. Given its scope, the book offers a valuable asset for radiologists and medical experts (oncologists), as mammogram visualization can enhance the precision of their diagnostic analyses; and for researchers and engineers, as the analysis of non-linear filters is one of the most challenging research domains in image processing.
Bibliography, etc. Note
Includes bibliographical references.
Access Note
Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed November 4, 2019).
Series
Studies in computational intelligence ; v. 861.
Available in Other Form
Print version: 9789811504419
Introduction: Computer-aided Analysis of Mammograms for Diagnosis of Breast Cancer
Mammogram Enhancement: Background
Methodology: Motivation, Objectives and Proposed Solution Approach
Performance Evaluation and Benchmarking of Mammogram Enhancement Approaches: Mammographic Image Quality Assessment
Non-linear Polynomial Filters: Overview, Evolution and Proposed Mathematical Formulation
Non-linear Polynomial Filters for Contrast Enhancement of Mammograms
Non-linear Polynomial Filters for Edge Enhancement of Mammograms
Human Visual System Based Unsharp Masking for Enhancement of Mammograms
Conclusions and Future Scope: Applications, Contributions and Impact.
