Using stacked deep learning models based on PET/CT images and clinical data to predict EGFR mutations in lung cancer

PURPOSE: To determine whether stacked deep learning models based on PET/CT images and clinical data can help to predict epidermal growth factor receptor (EGFR) mutations in lung cancer. METHODS: We analyzed data from two public datasets of patients who underwent (18)F-FDG PET/CT. Three PET deep lear...

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Detalles Bibliográficos
Autores principales: Chen, Song, Han, Xiangjun, Tian, Guangwei, Cao, Yu, Zheng, Xuting, Li, Xuena, Li, Yaming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9588917/
https://www.ncbi.nlm.nih.gov/pubmed/36300191
http://dx.doi.org/10.3389/fmed.2022.1041034

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9588917/
https://www.ncbi.nlm.nih.gov/pubmed/36300191
http://dx.doi.org/10.3389/fmed.2022.1041034

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