Studies in Computational Intelligence: A Robust Computer-aided Analysis Framework for Early Detection of Breast Cancer

Bhateja, Vikrant; Misra, Mukul; Urooj, Shabana

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 ofthe most challenging research domains in image processing.

Details

Published by: Springer

Publication Date: 2020-11-18

Format: Paperback

ISBN-13: 9789811504440

DOI: 10.1007/978-981-15-0442-6

Dimensions: 235cm x155cm

Pages: 239