Name: Non-Linear Filters for Mammogram Enhancement: A Robust Computer-Aided Analysis Framework for Early Detection of Breast Cancer (en Inglés)
Price: 299427.00 COP
Availability: InStock
Author: Bhateja, Vikrant ; Misra, Mukul ; Urooj, Shabana
ISBN: 9789811504440

portada Non-Linear Filters for Mammogram Enhancement: A Robust Computer-Aided Analysis Framework for Early Detection of Breast Cancer (en Inglés)

Non-Linear Filters for Mammogram Enhancement: A Robust Computer-Aided Analysis Framework for Early Detection of Breast Cancer (en Inglés)

Formato

Libro Físico

Autor

Editorial

Idioma

Inglés

N° páginas

239

Encuadernación

Tapa Blanda

Dimensiones

23.4 x 15.6 x 1.4 cm

Peso

0.38 kg.

ISBN13

9789811504440

Categorías

Técnicas de diagnóstico por la imagen
Ingeniería: general
Aplicaciones gráficas y multimedia

Non-Linear Filters for Mammogram Enhancement: A Robust Computer-Aided Analysis Framework for Early Detection of Breast Cancer (en Inglés)

Vikrant Bhateja (Autor) · Mukul Misra (Autor) · Shabana Urooj (Autor) · Springer · Tapa Blanda

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Reseña del libro "Non-Linear Filters for Mammogram Enhancement: A Robust Computer-Aided Analysis Framework for Early Detection of Breast Cancer (en Inglés)"

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.