NDLI: Application of Fast-Marching method on mammograms for breast skin-line estimation

Content Provider	IEEE Xplore Digital Library
Author	Yapa, R.D. Harada, K.
Copyright Year	2007
Description	Author affiliation: Grad. Sch. of Eng., Hiroshima Univ., Higashi-Hiroshima (Yapa, R.D.)
Abstract	Breast skin-line estimation and breast segmentation from its background is an important pre-process in mammogram image processing and computer-aided diagnosis of breast cancer. Ultimate goal of this pre-processing task is to recognize the breast tissue region on a mammogram and limit the area to be processed into a specific target region. This will increase the efficiency and accuracy of computer-aided diagnosis of breast cancer using mammograms. Also, the Fast-Marching is a method developed by J.A. Sethian. Fast-marching is a partial differential equation based numerical technique to track evolution of interfaces. This method has a higher potential of handling topological changes of evolving fronts naturally. In this paper we are discussing possibility of using fast-marching method for estimating breast skin-line and segmenting breast tissue region from its background. We have introduced some modifications to the traditional fast-marching method, specifically to improve the accuracy of skin-line estimation and breast tissue segmentation. In this experiment we have used 30 mammogram images from mini-MIAS mammogram image database to evaluate the results.
Starting Page	59
Ending Page	62
File Size	769658
Page Count	4
File Format	PDF
ISBN	9781424411511
DOI	10.1109/ICIINFS.2007.4579148
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-08-09
Publisher Place	Sri Lanka
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image segmentation Target tracking Target recognition Image databases Image processing Partial differential equations Breast tissue Breast cancer Computer aided diagnosis Application software
Content Type	Text
Resource Type	Article

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