Impact of feature selection methods and subgroup factors on prognostic analysis with CT-based radiomics in non-small cell lung cancer patients

BACKGROUND: Radiomics is a new technology to noninvasively predict survival prognosis with quantitative features extracted from medical images. Most radiomics-based prognostic studies of non-small-cell lung cancer (NSCLC) patients have used mixed datasets of different subgroups. Therefore, we invest...

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Detalles Bibliográficos
Autores principales: Sugai, Yuto, Kadoya, Noriyuki, Tanaka, Shohei, Tanabe, Shunpei, Umeda, Mariko, Yamamoto, Takaya, Takeda, Kazuya, Dobashi, Suguru, Ohashi, Haruna, Takeda, Ken, Jingu, Keiichi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8086112/
https://www.ncbi.nlm.nih.gov/pubmed/33931085
http://dx.doi.org/10.1186/s13014-021-01810-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8086112/
https://www.ncbi.nlm.nih.gov/pubmed/33931085
http://dx.doi.org/10.1186/s13014-021-01810-9

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