Author:
Ahmad Arbab Masood,Muhammad Khan Gul,Mahmud Sahibzada Ali
Publisher
Springer International Publishing
Reference24 articles.
1. Zhang, X., Fujita, H., Chen, J., Zhang, Z.: Effect of training artificial neural networks on 2d image: An example study on mammography. In: International Conference on Artificial Intelligence and Computational Intelligence, AICI 2009, vol. 4, pp. 214–218. IEEE (2009)
2. Ibrahim, N., Fujita, H., Hara, T., Endo, T.: Automated detection of clustered microcalcifications on mammograms: Cad system application to mias database. Physics in Medicine and Biology 42(12), 2577 (1997)
3. El-Naqa, I., Yang, Y., Wernick, M.N., Galatsanos, N.P., Nishikawa, R.: Support vector machine learning for detection of microcalcifications in mammograms. In: Proceedings of the 2002 IEEE International Symposium on Biomedical Imaging, pp. 201–204. IEEE (2002)
4. Hernández-Cisneros, R.R., Terashima-Marın, H.: Feature selection for the classification of both individual and clustered microcalcifications in digital mammograms using genetic algorithms. In: A Recombination of the 15th International Conference Genetic Algorithms (ICGA) and the 11th Genetic Programming Conference (GP), Seattle, WA, USA (2006)
5. Walker, J.A., Völk, K., Smith, S.L., Miller, J.F.: Parallel evolution using multi-chromosome cartesian genetic programming. Genetic Programming and Evolvable Machines 10(4), 417–445 (2009)
Cited by
3 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献