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Segmentation of Mammography Calcifications Using Fusion of Fuzzy C-Means and K-Means Algorithm.
- Source :
- Indian Journal of Public Health Research & Development; Dec2018, Vol. 9 Issue 12, p327-333, 7p
- Publication Year :
- 2018
-
Abstract
- Breast cancer is the most life-threatening disease among women. The best way to decrease the mortality is early detection of cancer from digital mammogram. The diagnosis can be successful if the pre-processing and segmentation of the digital mammograms identifies the suspicious area correctly. In this paper, the Butterworth bandpass filter along with fusion of FCM and K-means clustering followed by morphological operations is used for the segmentation of calcification areas from the mammogram images. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 09760245
- Volume :
- 9
- Issue :
- 12
- Database :
- Complementary Index
- Journal :
- Indian Journal of Public Health Research & Development
- Publication Type :
- Academic Journal
- Accession number :
- 137020914
- Full Text :
- https://doi.org/10.5958/0976-5506.2018.01856.9