Deep learning for predicting epidermal growth factor receptor mutations of non-small cell lung cancer on PET/CT images

BACKGROUND: Predicting the mutation status of the epidermal growth factor receptor (EGFR) gene based on an integrated positron emission tomography/computed tomography (PET/CT) image of non-small cell lung cancer (NSCLC) is a noninvasive, low-cost method which is valuable for targeted therapy. Althou...

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Detalles Bibliográficos
Autores principales: Xiao, Zhenghui, Cai, Haihua, Wang, Yue, Cui, Ruixue, Huo, Li, Lee, Elaine Yuen-Phin, Liang, Ying, Li, Xiaomeng, Hu, Zhanli, Chen, Long, Zhang, Na
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2023
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10006109/
https://www.ncbi.nlm.nih.gov/pubmed/36915325
http://dx.doi.org/10.21037/qims-22-760

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10006109/
https://www.ncbi.nlm.nih.gov/pubmed/36915325
http://dx.doi.org/10.21037/qims-22-760

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