Author:
Majji Ramachandro,Maram Balajee,Rajeswari R.
Subject
Health Informatics,Signal Processing,Biomedical Engineering
Reference36 articles.
1. G. Lopez-Garcia, J.M. Jerez, L. Franco, F.J. Veredas, “Transfer learning with convolutional neural networks for cancer survival prediction using gene-expression data”, vol.15, no.3, pp.e0230536, March 2020.
2. D. Hanahan, R.A. Weinberg, “Hallmarks of cancer: the next generation”, Cell, vol.144, no.5, pp.646-74, March 2011.
3. C. Wang, J. Guo, N. Zhao, Y. Liu, X. Liu, G. Liu, M. Guo, “A cancer survival prediction method based on graph convolutional network”, IEEE Trans. Nano biosci., vol.19, no.1, pp.117-26.
4. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries;Bray;CA: A Cancer J. Clin.,2018
5. Cancer survival: an overview of measures, uses, and interpretation;Mariotto;J. Natl. Cancer Inst. Monogr.,2014
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