Detection of Mass in Digital Mammograms
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10.5120/18199-9120 |
K.vennila, K.sivakami and R.padmapriya. Article: Detection of Mass in Digital Mammograms. International Journal of Computer Applications 104(5):22-23, October 2014. Full text available. BibTeX
@article{key:article,
author = {K.vennila and K.sivakami and R.padmapriya},
title = {Article: Detection of Mass in Digital Mammograms},
journal = {International Journal of Computer Applications},
year = {2014},
volume = {104},
number = {5},
pages = {22-23},
month = {October},
note = {Full text available}
}
Abstract
Breast Cancer is considered as one of the major causes for the increase in mortality among women. Computerized Mammography helps radiologists as a second reader in diagnosing the abnormalities. This paper aims to detect the masses of the Digital Mammograms. In this approach, the mammogram is subjected to morphological pre-processing, artifacts removal, pectoral muscle segmentation using seeded region growing algorithm. Finally the mass is detected by using Otsu thresholding. The proposed method was tested with Mammographic Image Analysis Society (MIAS) database.
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