Mammogram Image Segmentation Using Hybridization of Fuzzy Clustering and Optimization Algorithms

Author:

Kanungo Guru Kalyan,Singh Nalini,Dash Judhisthir,Mishra Annapurna

Publisher

Springer India

Reference10 articles.

1. Dong, A., Wang, B.: Feature selection and analysis on mammogram classification. In: Communications, Computers and Signal Processing, pp. 731–735 (2009)

2. Thangavel, K., Mohideen, A.K.: Semi-supervised k-means clustering for outlier detection in mammogram classification. In: IEEE International Conference on Trendz in Information Sciences & Computing (TISC), pp. 68–72 (2010)

3. Cahoon, T.C., Sutton, M.A., Bezdek, J.C.: Breast cancer detection using image processing techniques. In: IEEE 9th International Conference on Fuzzy Systems, vol. 2, pp. 973–976 (2000)

4. Barrea, A.: Local fuzzy C-means clustering for medical spectroscopy images. Appl. Math. Sci. 5(30), 1449–1458 (2011)

5. Maitra, I.K., Nag, S., Bandyopadhyay, S.K.: Identification of abnormal masses in digital mammography images. Int. J. Comput. Graph. 2(1), 17–30 (2011)

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