Author:
Mann Lovedeep,Ranjan Nayak Soumya
Reference45 articles.
1. Lotter, W., Diab, A.R., Haslam, B., Kim, J.G., Grisot, G., Wu, E., Wu, K., Onieva, J., Boxerman, J.L., Wang, M., Bandler, M., Vijayaraghavan, G., Sorensen, A.G.: Robust breast cancer detection in mammography and digital breast tomosynthesis using annotation-efficient deep learning approach. arXiv:1912.11027v2 [eess.IV]. Accessed 27 Dec 2019
2. Aruna, S., Rajagopalan, S.P., Nandakishore, L.V.: Knowledge based analysis of various statistical tools in detecting breast cancer. In: D.C. Wyld, et al. (Eds): CCSEA 2011, CS & IT 02, pp. 37–45 (2011)
3. Chaurasia, V., Pal, S.: Data mining techniques: to predict and resolve breast cancer survivability. IJCSMC 3(1), 10–22 (2014)
4. Kourou, K., Exarchos, T.P., Exarchos, K.P., Karamouzis, M.V., Fotiadis, D.I.: Machine learning applications in cancer prognosis and prediction. Comput. Struct. Biotechnol. J. 15(13), 8–17 (2014). https://doi.org/10.1016/j.csbj.2014.11.005.PMID:25750696;PMCID:PMC4348437
5. Agarap, A.F.: On breast cancer detection: an application of machine learning algorithms on the wisconsin diagnostic dataset (2017). https://doi.org/10.1145/3184066.3184080
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