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A CT-derived deep neural network predicts for programmed death ligand-1 expression status in advanced lung adenocarcinomas

BACKGROUND: Programmed death ligand-1 (PD-L1) expression remains a crucial predictor in selecting patients for immunotherapy. The current study aimed to non-invasively predict PD-L1 expression based on chest computed tomography (CT) images in advanced lung adenocarcinomas (LUAD), thus help select op...

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Detalles Bibliográficos
Autores principales:	Zhu, Ying, Liu, Yang-Li, Feng, Yu, Yang, Xiao-Yu, Zhang, Jing, Chang, Dan-Dan, Wu, Xi, Tian, Xi, Tang, Ke-Jing, Xie, Can-Mao, Guo, Yu-Biao, Feng, Shi-Ting, Ke, Zun-Fu
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	AME Publishing Company 2020
Materias:	Original Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7475404/ https://www.ncbi.nlm.nih.gov/pubmed/32953730 http://dx.doi.org/10.21037/atm-19-4690

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