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[null,"1.","Record Nr.",null,"UNINA9910483740603321"]
[null,null,"Autore",null,"Bhateja Vikrant"]
[null,null,"Titolo",null,"Non-Linear Filters for Mammogram Enhancement : A Robust Computer-aided Analysis Framework for Early Detection of Breast Cancer / / by Vikrant Bhateja, Mukul Misra, Shabana Urooj"]
[null,null,"Pubbl/distr/stampa",null,"Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2020"]
[null,null,"ISBN",null,"981-15-0442-3"]
[null,null,"Edizione",null,"[1st ed. 2020.]"]
[null,null,"Descrizione fisica",null,"1 online resource (xxviii, 239 pages) : illustrations"]
[null,null,"Collana",null,"Studies in Computational Intelligence, , 1860-9503 ; ; 861"]
[null,null,"Disciplina",null,"618.1907572"]
[null,null,"Soggetti",null,"Computational intelligence"]
[{"$nulls":4},"Computer vision"]
[{"$nulls":4},"Radiology"]
[{"$nulls":4},"Cancer"]
[{"$nulls":4},"Computational Intelligence"]
[{"$nulls":4},"Computer Vision"]
[{"$nulls":4},"Cancer Biology"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Nota di bibliografia","Includes bibliographical references."]
[null,null,"Nota di contenuto",null,"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."]
[null,null,null,"Sommario/riassunto","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 "]
[{"$nulls":4},"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 ofthe most challenging research domains in image processing. ."]