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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...

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Detalles Bibliográficos
Autores principales: Yan, Mengmeng, Wang, Weidong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
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

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