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A comparison of two methods for the segmentation of masses in the digital mammograms

✍ Scribed by R.B. Dubey; M. Hanmandlu; S.K. Gupta

Publisher
Elsevier Science
Year
2010
Tongue
English
Weight
922 KB
Volume
34
Category
Article
ISSN
0895-6111

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✦ Synopsis

a b s t r a c t An accurate and standardized technique for breast tumor segmentation is a critical step for monitoring and quantifying breast cancer. The fully automated tumor segmentation in mammograms presents many challenges related to characteristics of an image. In this paper, a comparison of two different semiautomated methods, viz., level set and marker controlled watershed methods that perform an accurate and fast segmentation of tumor is made. The robustness of the proposed methods is demonstrated by the segmentation of a set of 17 mammogram images. Numerical validation of the results is also provided.

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The Computer Assisted Library for MAmmography (CALMA) project is a 5 years plan developed in a physics research frame in collaboration between Istituto Nazionale di Fisica Nucleare and many Italian hospitals. At present a large database of digitized mammographic images (more than 6000) was collected