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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Detaylı Bibliyografya
Yayımlandı:Front Oncol
Asıl Yazarlar: Yang, Fengchang, Chen, Wei, Wei, Haifeng, Zhang, Xianru, Yuan, Shuanghu, Qiao, Xu, Chen, Yen-Wei
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: Frontiers Media S.A. 2021
Konular:
Oncology
Online Erişim:https://ncbi.nlm.nih.gov/pmc/articles/PMC7840845/
https://ncbi.nlm.nih.gov/pubmed/33520719
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fonc.2020.608598
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