Abstract | ||
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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. |
Year | DOI | Venue |
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2012 | 10.5121/sipij.2012.3102 | CoRR |
Field | DocType | Volume |
Computer vision,Noise suppression,Segmentation,Algorithm,Artificial intelligence,Mathematics | Journal | abs/1203.1765 |
Citations | PageRank | References |
0 | 0.34 | 5 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Guillaume Kom | 1 | 41 | 2.88 |
Alain Tiedeu | 2 | 22 | 3.53 |
Martin Kom | 3 | 46 | 4.66 |
John Ngundam | 4 | 0 | 0.34 |