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Cross-institutional outcome prediction for head and neck cancer patients using self-attention neural networks

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)

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Department: Department of Computer Engineering and Software Engineering
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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