Convolution kernel and iterative reconstruction affect the diagnostic performance of radiomics and deep learning in lung adenocarcinoma pathological subtypes

BACKGROUND: The aim of this study was to investigate the influence of convolution kernel and iterative reconstruction on the diagnostic performance of radiomics and deep learning (DL) in lung adenocarcinomas. METHODS: A total of 183 patients with 215 lung adenocarcinomas were included in this study....

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Detalles Bibliográficos
Autores principales: Zhao, Wei, Zhang, Wei, Sun, Yingli, Ye, Yuxiang, Yang, Jiancheng, Chen, Wufei, Gao, Pan, Li, Jianying, Li, Cheng, Jin, Liang, Wang, Peijun, Hua, Yanqing, Li, Ming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons Australia, Ltd 2019
Materias:
Original Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6775016/
https://www.ncbi.nlm.nih.gov/pubmed/31426132
http://dx.doi.org/10.1111/1759-7714.13161

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6775016/
https://www.ncbi.nlm.nih.gov/pubmed/31426132
http://dx.doi.org/10.1111/1759-7714.13161

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