Author:
Koul Nimrita,Manvi Sunil Kumar S.
Reference51 articles.
1. An evolutionary artificial neural networks approach for breast cancer diagnosis;Abbass;Artificial Intelligence in Medicine,2002
2. Comparative study for 8 computational intelligence algorithms for human identification;Abdulrahman;Computer Science Review,2020
3. Ali Hossain, M., Asa, T. A., Huq, F., Quinn, J. M. W., & Moni, M. A. (2020). A network-based approach to identify molecular signatures and comorbidities of thyroid cancer. In Uddin M., Bansal J. (Eds.) Proceedings of international joint conference on computational intelligence. algorithms for intelligent systems. springer, Singapore.
4. Alzubaidi, A., Cosma, G., Brown, D., & Pockley, A. G. (2016). A new hybrid global optimization approach for selecting clinical and biological features that are relevant to the effective diagnosis of ovarian cancer. In: Proceedings of the IEEE symposium series on computational intelligence (SSCI), (pp. 1–8), Athens.
5. Computational intelligence optimization approach based on particle swarm optimizer and neutrosophic set for abdominal CT liver tumor segmentation;Anter;Journal of Computational Science,2018