Effect of machine learning methods on predicting NSCLC overall survival time based on Radiomics analysis

BACKGROUND: To investigate the effect of machine learning methods on predicting the Overall Survival (OS) for non-small cell lung cancer based on radiomics features analysis. METHODS: A total of 339 radiomic features were extracted from the segmented tumor volumes of pretreatment computed tomography...

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Detalles Bibliográficos
Autores principales: Sun, Wenzheng, Jiang, Mingyan, Dang, Jun, Chang, Panchun, Yin, Fang-Fang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6173915/
https://www.ncbi.nlm.nih.gov/pubmed/30290849
http://dx.doi.org/10.1186/s13014-018-1140-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6173915/
https://www.ncbi.nlm.nih.gov/pubmed/30290849
http://dx.doi.org/10.1186/s13014-018-1140-9

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