A machine learning-based prediction of the micropapillary/solid growth pattern in invasive lung adenocarcinoma with radiomics

BACKGROUND: Micropapillary/solid (MP/S) growth patterns of lung adenocarcinoma are vital for making clinical decisions regarding surgical intervention. This study aimed to predict the presence of a MP/S component in lung adenocarcinoma using radiomics analysis. METHODS: Between January 2011 and Dece...

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Detalles Bibliográficos
Autores principales: He, Bingxi, Song, Yongxiang, Wang, Lili, Wang, Tingting, She, Yunlang, Hou, Likun, Zhang, Lei, Wu, Chunyan, Babu, Benson A., Bagci, Ulas, Waseem, Tayab, Yang, Minglei, Xie, Dong, Chen, Chang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2021
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7947386/
https://www.ncbi.nlm.nih.gov/pubmed/33718035
http://dx.doi.org/10.21037/tlcr-21-44

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7947386/
https://www.ncbi.nlm.nih.gov/pubmed/33718035
http://dx.doi.org/10.21037/tlcr-21-44

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