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Multi-classification model incorporating radiomics and clinic-radiological features for predicting invasiveness and differentiation of pulmonary adenocarcinoma nodules

PURPOSE: To develop a comprehensive multi-classification model that combines radiomics and clinic-radiological features to accurately predict the invasiveness and differentiation of pulmonary adenocarcinoma nodules. METHODS: A retrospective analysis was conducted on a cohort comprising 500 patients...

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Detalles Bibliográficos
Autores principales:	Sun, Haitao, Zhang, Chunling, Ouyang, Aimei, Dai, Zhengjun, Song, Peiji, Yao, Jian
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2023
Materias:	Research
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10687925/ https://www.ncbi.nlm.nih.gov/pubmed/38037082 http://dx.doi.org/10.1186/s12938-023-01180-1

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