CAMR: cross-aligned multimodal representation learning for cancer survival prediction

MOTIVATION: Accurately predicting cancer survival is crucial for helping clinicians to plan appropriate treatments, which largely improves the life quality of cancer patients and spares the related medical costs. Recent advances in survival prediction methods suggest that integrating complementary i...

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Detalles Bibliográficos
Autores principales: Wu, Xingqi, Shi, Yi, Wang, Minghui, Li, Ao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9857974/
https://www.ncbi.nlm.nih.gov/pubmed/36637188
http://dx.doi.org/10.1093/bioinformatics/btad025

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9857974/
https://www.ncbi.nlm.nih.gov/pubmed/36637188
http://dx.doi.org/10.1093/bioinformatics/btad025

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