3D deep learning versus the current methods for predicting tumor invasiveness of lung adenocarcinoma based on high-resolution computed tomography images

BACKGROUND: Different pathological subtypes of lung adenocarcinoma lead to different treatment decisions and prognoses, and it is clinically important to distinguish invasive lung adenocarcinoma from preinvasive adenocarcinoma (adenocarcinoma in situ and minimally invasive adenocarcinoma). This stud...

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Detalles Bibliográficos
Autores principales: Lv, Yilv, Wei, Ying, Xu, Kuan, Zhang, Xiaobin, Hua, Rong, Huang, Jia, Li, Min, Tang, Cui, Yang, Long, Liu, Bingchun, Yuan, Yonggang, Li, Siwen, Gao, Yaozong, Zhang, Xianjie, Wu, Yifan, Han, Yuchen, Shang, Zhanxian, Yu, Hong, Zhan, Yiqiang, Shi, Feng, Ye, Bo
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/PMC9634256/
https://www.ncbi.nlm.nih.gov/pubmed/36338695
http://dx.doi.org/10.3389/fonc.2022.995870

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9634256/
https://www.ncbi.nlm.nih.gov/pubmed/36338695
http://dx.doi.org/10.3389/fonc.2022.995870

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