Machine Learning for Histologic Subtype Classification of Non-Small Cell Lung Cancer: A Retrospective Multicenter Radiomics Study

BACKGROUND: Histologic phenotype identification of Non-Small Cell Lung Cancer (NSCLC) is essential for treatment planning and prognostic prediction. The prediction model based on radiomics analysis has the potential to quantify tumor phenotypic characteristics non-invasively. However, most existing...

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Detalles Bibliográficos
Autores principales: Yang, Fengchang, Chen, Wei, Wei, Haifeng, Zhang, Xianru, Yuan, Shuanghu, Qiao, Xu, Chen, Yen-Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7840845/
https://www.ncbi.nlm.nih.gov/pubmed/33520719
http://dx.doi.org/10.3389/fonc.2020.608598

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7840845/
https://www.ncbi.nlm.nih.gov/pubmed/33520719
http://dx.doi.org/10.3389/fonc.2020.608598

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