Prognostic value of FDG-PET radiomics with machine learning in pancreatic cancer

Patients with pancreatic cancer have a poor prognosis, therefore identifying particular tumor characteristics associated with prognosis is important. This study aims to investigate the utility of radiomics with machine learning using (18)F-fluorodeoxyglucose (FDG)-PET in patients with pancreatic can...

Descripción completa

Detalles Bibliográficos
Autores principales: Toyama, Yoshitaka, Hotta, Masatoshi, Motoi, Fuyuhiko, Takanami, Kentaro, Minamimoto, Ryogo, Takase, Kei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7550575/
https://www.ncbi.nlm.nih.gov/pubmed/33046736
http://dx.doi.org/10.1038/s41598-020-73237-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7550575/
https://www.ncbi.nlm.nih.gov/pubmed/33046736
http://dx.doi.org/10.1038/s41598-020-73237-3

Ejemplares similares