- Tytuł:
-
Machine learning for differentiating
lung squamous cell cancer from adenocarcinoma using Clinical-Metabolic characteristics and 18F-FDG PET/CT radiomics. - Autorzy:
- Źródło:
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PloS one [PLoS One ] 2024 Apr 03; Vol. 19 (4), pp. e0300170. Date of Electronic Publication: 2024 Apr 03 (Print Publication: 2024). - Typ publikacji:
- Randomized Controlled Trial; Journal Article
- MeSH Terms:
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Carcinoma, Non-Small-Cell
Lung */diagnostic imagingLung Neoplasms*/diagnostic imaging
Adenocarcinoma*/diagnostic imaging
Carcinoma, Squamous Cell*/diagnostic imaging
Humans ; Positron Emission Tomography Computed Tomography ; Fluorodeoxyglucose F18 ; Radiomics ; Retrospective Studies ; Machine Learning ; Epithelial Cells ;Lung
Czasopismo naukowe