A Comparative Evaluation of Two Algorithms of Detection of Masses on Mammograms
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 us...
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| Veröffentlicht in: | Signal & Image Processing : An International Journal 2012-02, Vol.3 (1), p.19-27 |
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| container_title | Signal & Image Processing : An International Journal |
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| creator | Kom, Guillaume |
| description | 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. |
| doi_str_mv | 10.5121/sipij.2012.3102 |
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| ispartof | Signal & Image Processing : An International Journal, 2012-02, Vol.3 (1), p.19-27 |
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| source | EZB-FREE-00999 freely available EZB journals |
| subjects | Algorithms Conservation Image processing Noise Segmentation Signal processing |
| title | A Comparative Evaluation of Two Algorithms of Detection of Masses on Mammograms |
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