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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...
Autores principales: | Toyama, Yoshitaka, Hotta, Masatoshi, Motoi, Fuyuhiko, Takanami, Kentaro, Minamimoto, Ryogo, Takase, Kei |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
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 |
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