Thermography Based Breast Cancer Detection Using Texture Features and Support Vector Machine

Author:

Acharya U. Rajendra,Ng E. Y. K.,Tan Jen-Hong,Sree S. Vinitha

Publisher

Springer Science and Business Media LLC

Subject

Health Information Management,Health Informatics,Information Systems,Medicine (miscellaneous)

Reference41 articles.

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4. Coleman, M. P., Quaresma, M., Berrino, F., Lutz, J. M., De Angelis, R., Capocaccia, R., Baili, P., Rachet, B., Gatta, G., Hakulinen, T., Micheli, A., Sant, M., Weir, H. K., Elwood, J. M., Tsukuma, H., Koifman, S., E Silva, G. A., Francisci, S., Santaquilani, M., Verdecchia, A., Storm, H. H., and Young, J. L., Cancer survival in five continents: a worldwide population-based study (CONCORD). Lancet Oncol. 9:730–756, 2008.

5. Tan, J. M., Ng, E. Y. K., Acharya, R. U., Keith, L. G., and Holmes, J., Comparative study on the use of analytical software to identify the different stages of breast cancer using discrete temperature data. J. Med. Syst. 33:141–153, 2009.

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