William Trung Le, Eugene Vorontsov, Francisco Perdigón Romero, Lotfi Seddik, Mohamed Mortada Elsharief, Phuc Felix Nguyen-Tan, David Roberge, Houda Bahig and Samuel Kadoury
Article (2022)
An external link is available for this itemDepartment: | Department of Computer Engineering and Software Engineering |
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PolyPublie URL: | https://publications.polymtl.ca/50423/ |
Journal Title: | Scientific Reports (vol. 12, no. 1) |
Publisher: | Nature Publishing Group |
DOI: | 10.1038/s41598-022-07034-5 |
Official URL: | https://doi.org/10.1038/s41598-022-07034-5 |
Date Deposited: | 18 Apr 2023 14:58 |
Last Modified: | 25 Sep 2024 16:40 |
Cite in APA 7: | Le, W. T., Vorontsov, E., Romero, F. P., Seddik, L., Elsharief, M. M., Nguyen-Tan, P. F., Roberge, D., Bahig, H., & Kadoury, S. (2022). Cross-institutional outcome prediction for head and neck cancer patients using self-attention neural networks. Scientific Reports, 12(1), 17 pages. https://doi.org/10.1038/s41598-022-07034-5 |
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