A fully automated scheme for mass detection and segmentation in mammograms

A novel automated mass detection algorithm is presented in this paper. There are two main steps in this method. First it establishes a sech template to simulate the masses and employs template matching to obtain an image which measures the suspicious degree of every pixel in the segmented breast. An...

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Bibliographic Details
Published in2012 5th International Conference on Biomedical Engineering and Informatics pp. 140 - 144
Main Authors Feng Liu, Fang Zhang, Zhulin Gong, Ying Chen, Weimin Chai
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.10.2012
Subjects
Breast cancer
computer aided detection
mammogram
template matching
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Summary:A novel automated mass detection algorithm is presented in this paper. There are two main steps in this method. First it establishes a sech template to simulate the masses and employs template matching to obtain an image which measures the suspicious degree of every pixel in the segmented breast. An adaptive thresholding technique based on maximum entropy principle is used on the exponential transformed feature image to get some regions of interest (ROIs). Then region growing is applied on the background corrected regions of interest to separate the masses from the background. This method has been tested on the Digital Database for Screening Mammography (DDSM). Preliminary results display a best sensitivity of 97.2% with 1.83 false positives per image.
ISBN:9781467311830
1467311839
DOI:10.1109/BMEI.2012.6513093