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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...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2022
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| Materias: | |
| 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 |