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

In radiation oncology, predicting patient risk stratification allows specialization of therapy intensification as well as selecting between systemic and regional treatments, all of which helps to improve patient outcome and quality of life. Deep learning offers an advantage over traditional radiomic...

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Detalles Bibliográficos
Autores principales: Le, William Trung, Vorontsov, Eugene, Romero, Francisco Perdigón, Seddik, Lotfi, Elsharief, Mohamed Mortada, Nguyen-Tan, Phuc Felix, Roberge, David, Bahig, Houda, Kadoury, Samuel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8873259/
https://www.ncbi.nlm.nih.gov/pubmed/35210482
http://dx.doi.org/10.1038/s41598-022-07034-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8873259/
https://www.ncbi.nlm.nih.gov/pubmed/35210482
http://dx.doi.org/10.1038/s41598-022-07034-5

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