M. B. Altman, M. J. Flynn, R. M. Nishikawa, I. J. Chetty, K. N. Barton et al., The potential of iodine for improving breast cancer diagnosis and treatment, Medical Hypotheses, 2013.

R. Burget, V. Uher, and J. Masek, Trainable Segmentation Based on Local-level and Segment-level Feature Extraction, ISBI conference, 2012.

A. Fallahi and S. Jafari, An Expert System for Detection of Breast Cancer Using Data Preprocessing and Bayesian Network, International Journal of Advanced Science and Technology, vol.34, 2011.

U. K. Rani, Parallel Approach for Diagnosis of Breast Cancer using Neural Network Technique, International Journal of Computer Applications, vol.10, issue.3, 2010.
DOI : 10.5120/1465-1980

W. P. Chang and D. L. Liou, Comparison of Three Data Mining Techniques with Genetic Algorithm in the Analysis of Breast Cancer Data

R. Nock and F. Nielsen, Statistical region merging, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.26, issue.11, 2004.
DOI : 10.1109/TPAMI.2004.110

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.1.1930

S. Lykothanasis, Genetic Algorithms and Applications (Greek: ????????? ?????????? ??? ?????????), 2001.

R. E. Schapire and Y. Freund, Boosting: foundations and algorithms, 2012.

Y. Freund and R. E. Schapire, A Short Introduction to Boosting, Japanese, translation by Naoki Abe.), 1999.

D. Bremner, E. Demaine, J. Erickson, J. Iacono, S. Langerman et al., Output-sensitive algorithms for computing nearest-neighbor decision boundaries, Discrete and Computational Geometry, 2005.
DOI : 10.1007/s00454-004-1152-0

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.10.7051

R. Hamming and W. , Error Detecting and Error Correcting Codes, Bell System Technical Journal, vol.29, issue.2, 1950.
DOI : 10.1002/j.1538-7305.1950.tb00463.x

URL : http://campus.unibo.it/10913/1/hamming1950.pdf

. Weinberger, K. Q. Blitzer, and L. K. Saul, Distance Metric Learning for Large Margin Nearest Neighbor Classification, Advances in Neural Information Processing Systems, NIPS, 2006.

G. Hripcsak and A. S. Rothschild, Agreement, the F-Measure, and Reliability in Information Retrieval, Journal of the American Medical Informatics Association, vol.12, issue.3, 2005.
DOI : 10.1197/jamia.M1733

D. E. Goldberg, A Note on Boltzmann Tournament Selection for Genetic Algorithms and Population-Oriented Simulated Annealing, Complex Systems, pp.445-460, 1990.