The Machine Learning Model for Distinguishing Pathological Subtypes of Non-Small Cell Lung Cancer

PURPOSE: Machine learning models were developed and validated to identify lung adenocarcinoma (LUAD) and lung squamous cell carcinoma (LUSC) using clinical factors, laboratory metrics, and 2-deoxy-2[(18)F]fluoro-D-glucose ([(18)F]F-FDG) positron emission tomography (PET)/computed tomography (CT) rad...

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Detalles Bibliográficos
Autores principales: Zhao, Hongyue, Su, Yexin, Wang, Mengjiao, Lyu, Zhehao, Xu, Peng, Jiao, Yuying, Zhang, Linhan, Han, Wei, Tian, Lin, Fu, Peng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9177952/
https://www.ncbi.nlm.nih.gov/pubmed/35692759
http://dx.doi.org/10.3389/fonc.2022.875761

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9177952/
https://www.ncbi.nlm.nih.gov/pubmed/35692759
http://dx.doi.org/10.3389/fonc.2022.875761

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