A comparative evaluation of two algorithms of detection of masses on mammograms

Computer Science – Computer Vision and Pattern Recognition

Scientific paper

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9 pages, 5 figures, 1 table, Vol.3, No.1, February 2012,pp19-27; Signal & Image Processing : An International Journal (SIPIJ),

Scientific paper

10.5121/sipij.2012.3102

In this paper, we implement and carry out the comparison of two methods of computer-aided-detection of masses on mammograms. The two algorithms basically consist of 3 steps each: segmentation, binarization and noise suppression using different techniques for each step. A database of 60 images was used to compare the performance of the two algorithms in terms of general detection efficiency, conservation of size and shape of detected masses.

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