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Non-Linear Filters for Mammogram Enhancement

- A Robust Computer-aided Analysis Framework for Early Detection of Breast Cancer

Om Non-Linear Filters for Mammogram Enhancement

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.

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  • Språk:
  • Engelsk
  • ISBN:
  • 9789811504419
  • Bindende:
  • Hardback
  • Sider:
  • 239
  • Utgitt:
  • 18. november 2019
  • Utgave:
  • 12020
  • Dimensjoner:
  • 155x235x0 mm.
  • Vekt:
  • 571 g.
  Gratis frakt
Leveringstid: 2-4 uker
Forventet levering: 20. januar 2025

Beskrivelse av Non-Linear Filters for Mammogram Enhancement

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.

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