A comparative evaluation of two algorithms of detection of masses on mammograms
This is an incremental comparison of existing methods for breast cancer screening, with limited impact due to small dataset size.
The paper compared two computer-aided detection algorithms for identifying masses in mammograms, finding that both achieved similar general detection efficiency but differed in preserving mass size and shape on a dataset of 60 images.
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.