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...

Descripción completa

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

Internet

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

Ejemplares similares