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Development of a Radiomics Prediction Model for Histological Type Diagnosis in Solitary Pulmonary Nodules: The Combination of CT and FDG PET
PURPOSE: To develop a diagnostic model for histological subtypes in lung cancer combined CT and FDG PET. METHODS: Machine learning binary and four class classification of a cohort of 445 lung cancer patients who have CT and PET simultaneously. The outcomes to be predicted were primary, metastases (M...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2020
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7523028/ https://www.ncbi.nlm.nih.gov/pubmed/33042839 http://dx.doi.org/10.3389/fonc.2020.555514 |