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Non-Linear Filters for Mammogram Enhancement = A Robust Computer-aided Analysis Framework for Early Detection of Breast Cancer /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Non-Linear Filters for Mammogram Enhancement/ by Vikrant Bhateja, Mukul Misra, Shabana Urooj.
其他題名:	A Robust Computer-aided Analysis Framework for Early Detection of Breast Cancer /
作者:	Bhateja, Vikrant.
其他作者:	Misra, Mukul.
面頁冊數:	XXVIII, 239 p.online resource. :
Contained By:	Springer Nature eBook
標題:	Computational intelligence. -
電子資源:	https://doi.org/10.1007/978-981-15-0442-6
ISBN:	9789811504426

Non-Linear Filters for Mammogram Enhancement = A Robust Computer-aided Analysis Framework for Early Detection of Breast Cancer /
Bhateja, Vikrant.

Non-Linear Filters for Mammogram EnhancementA Robust Computer-aided Analysis Framework for Early Detection of Breast Cancer /[electronic resource] :by Vikrant Bhateja, Mukul Misra, Shabana Urooj. - 1st ed. 2020. - XXVIII, 239 p.online resource. - Studies in Computational Intelligence,8611860-949X ;. - Studies in Computational Intelligence,564.

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.

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. .

ISBN: 9789811504426

Standard No.: 10.1007/978-981-15-0442-6doiSubjects--Topical Terms:

568984
Computational intelligence.

LC Class. No.: Q342

Dewey Class. No.: 006.3

Non-Linear Filters for Mammogram Enhancement = A Robust Computer-aided Analysis Framework for Early Detection of Breast Cancer /
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