PB-LNet: a model for predicting pathological subtypes of pulmonary nodules on CT images

OBJECTIVE: To investigate the correlation between CT imaging features and pathological subtypes of pulmonary nodules and construct a prediction model using deep learning. METHODS: We collected information of patients with pulmonary nodules treated by surgery and the reference standard for diagnosis...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhang, Yuchong, Qu, Hui, Tian, Yumeng, Na, Fangjian, Yan, Jinshan, Wu, Ying, Cui, Xiaoyu, Li, Zhi, Zhao, Mingfang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10548640/
https://www.ncbi.nlm.nih.gov/pubmed/37789252
http://dx.doi.org/10.1186/s12885-023-11364-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10548640/
https://www.ncbi.nlm.nih.gov/pubmed/37789252
http://dx.doi.org/10.1186/s12885-023-11364-6

Ejemplares similares