Deep Learning to Predict EGFR Mutation and PD-L1 Expression Status in Non-Small-Cell Lung Cancer on Computed Tomography Images

OBJECTIVE: The detection of epidermal growth factor receptor (EGFR) mutation and programmed death ligand-1 (PD-L1) expression status is crucial to determine the treatment strategies for patients with non-small-cell lung cancer (NSCLC). Recently, the rapid development of radiomics including but not l...

Descripción completa

Detalles Bibliográficos
Autores principales: Wang, Chengdi, Xu, Xiuyuan, Shao, Jun, Zhou, Kai, Zhao, Kefu, He, Yanqi, Li, Jingwei, Guo, Jixiang, Yi, Zhang, Li, Weimin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8741343/
https://www.ncbi.nlm.nih.gov/pubmed/35003258
http://dx.doi.org/10.1155/2021/5499385

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8741343/
https://www.ncbi.nlm.nih.gov/pubmed/35003258
http://dx.doi.org/10.1155/2021/5499385

Ejemplares similares