Current status and future developments in predicting outcomes in radiation oncology

Advancements in data-driven technologies and the inclusion of information-rich multiomics features have significantly improved the performance of outcomes modeling in radiation oncology. For this current trend to be sustainable, challenges related to robust data modeling such as small sample size, l...

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Detalles Bibliográficos
Autores principales: Niraula, Dipesh, Cui, Sunan, Pakela, Julia, Wei, Lise, Luo, Yi, Ten Haken, Randall K, El Naqa, Issam
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The British Institute of Radiology. 2022
Materias:
Review Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9793488/
https://www.ncbi.nlm.nih.gov/pubmed/35867841
http://dx.doi.org/10.1259/bjr.20220239

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9793488/
https://www.ncbi.nlm.nih.gov/pubmed/35867841
http://dx.doi.org/10.1259/bjr.20220239

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