Exploratory Study of a CT Radiomics Model for the Classification of Small Cell Lung Cancer and Non-small-Cell Lung Cancer

Background: Radiomics can quantify tumor phenotypic characteristics non-invasively by applying feature algorithms to medical imaging data. In this study, we investigated the association between radiomics features and the tumor histological subtypes, and we aimed to establish a nomogram for the class...

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Detalles Bibliográficos
Autores principales: Liu, Shihe, Liu, Shunli, Zhang, Chuanyu, Yu, Hualong, Liu, Xuejun, Hu, Yabin, Xu, Wenjian, Tang, Xiaoyan, Fu, Qing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7498676/
https://www.ncbi.nlm.nih.gov/pubmed/33014770
http://dx.doi.org/10.3389/fonc.2020.01268

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7498676/
https://www.ncbi.nlm.nih.gov/pubmed/33014770
http://dx.doi.org/10.3389/fonc.2020.01268

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