Artificial Intelligence for Radiation Oncology Applications Using Public Datasets

Artificial intelligence (AI) has exceptional potential to positively impact the field of radiation oncology. However, large curated datasets - often involving imaging data and corresponding annotations - are required to develop radiation oncology AI models. Importantly, the recent establishment of F...

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Detalles Bibliográficos
Autores principales: Wahid, Kareem A., Glerean, Enrico, Sahlsten, Jaakko, Jaskari, Joel, Kaski, Kimmo, Naser, Mohamed A., He, Renjie, Mohamed, Abdallah S.R., Fuller, Clifton D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9587532/
https://www.ncbi.nlm.nih.gov/pubmed/36202442
http://dx.doi.org/10.1016/j.semradonc.2022.06.009

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9587532/
https://www.ncbi.nlm.nih.gov/pubmed/36202442
http://dx.doi.org/10.1016/j.semradonc.2022.06.009

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