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Non-Linear Filters for Mammogram Enhancement: A Robust Computer-Aided Analysis Framework for Early Detection of Breast Cancer
Hardcover
Series: Studies in Computational Intelligence, Book 861
ISBN13: 9789811504419
Publisher: Springer
Published: Nov 18 2019
Pages: 239
Weight: 1.22
Height: 0.63 Width: 6.14 Depth: 9.21
Language: English
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.
1 different editions
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Non-Linear Filters for Mammogram Enhancement: A Robust Computer-Aided Analysis Framework for Early Detection of Breast Cancer
Misra, Mukul
Urooj, Shabana
Bhateja, Vikrant
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