Non-Linear Filters for Mammogram Enhancement - A Robust Computer-aided Analysis Framework for Early Detection of Breast Cancer (Hardcover, 1st ed. 2020)

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.

General

Imprint:	Springer Verlag, Singapore
Country of origin:	Singapore
Series:	Studies in Computational Intelligence, 861
Release date:	November 2019
First published:	2020
Authors:	Vikrant Bhateja • Mukul Misra • Shabana Urooj
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	239
Edition:	1st ed. 2020
ISBN-13:	978-981-15-0441-9
Categories:	Books > Medicine > Other branches of medicine > Medical imaging > Radiology Books > Computing & IT > Applications of computing > Artificial intelligence > General Books > Computing & IT > Applications of computing > Image processing > General Books > Medicine > Clinical & internal medicine > Diseases & disorders > Oncology > General
LSN:	981-15-0441-5
Barcode:	9789811504419

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