E-Book, Englisch, Band 861, 239 Seiten, eBook
Bhateja / Misra / Urooj Non-Linear Filters for Mammogram Enhancement
Erscheinungsjahr 2019
ISBN: 978-981-15-0442-6
Verlag: Springer Singapore
Format: PDF
Kopierschutz: 1 - PDF Watermark
A Robust Computer-aided Analysis Framework for Early Detection of Breast Cancer
E-Book, Englisch, Band 861, 239 Seiten, eBook
Reihe: Studies in Computational Intelligence
ISBN: 978-981-15-0442-6
Verlag: Springer Singapore
Format: PDF
Kopierschutz: 1 - PDF Watermark
Zielgruppe
Research
Autoren/Hrsg.
Weitere Infos & Material
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.