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The Allocation in Cognitive Radio Network: Combined Genetic Algorithm and ON/OFF Primary User Activity Models Read chapter Read first chapter

2017 | OriginalPaper | Chapter

A Survey on Segmentation Techniques of Mammogram Images

Authors : Ilhame Ait lbachir, Rachida Es-salhi, Imane Daoudi, Saida Tallal, Hicham Medromi

Published in: Advances in Ubiquitous Networking 2

Publisher: Springer Nature Singapore

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Abstract

Mammogram images are important tools allowing visualization of various types of breast cancer. In fact, cancer detection refers to the extraction of region of interest ROI, which represents the tumor, in the mammogram image. In medical imaging field, Computer Aided Diagnosis systems (CAD) are used to analyze this type of images. To extract region of interest from mammograms, image segmentation methods have been wildly applied. These methods consist of partitioning the image on meaningful regions or segments easy to analyze. There are various techniques and methods of segmentation of mammogram images in the literature. In this paper, we present a survey of different approaches of segmentation that we compared theoretically in terms of advantages and drawbacks, particulary for mammogram images.

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Metadata
Title
A Survey on Segmentation Techniques of Mammogram Images
Authors
Ilhame Ait lbachir
Rachida Es-salhi
Imane Daoudi
Saida Tallal
Hicham Medromi
Copyright Year
2017
Publisher
Springer Nature Singapore
Book
Advances in Ubiquitous Networking 2

Print ISBN: 978-981-10-1626-4

Electronic ISBN: 978-981-10-1627-1

Copyright Year: 2017

DOI
https://doi.org/10.1007/978-981-10-1627-1_43