Fusing Diverse Decision Rules in 3D-Radiomics for Assisting Diagnosis of Lung Adenocarcinoma.

This study aimed to develop an interpretable diagnostic model for subtyping of pulmonary adenocarcinoma, including minimally invasive adenocarcinoma (MIA), adenocarcinoma in situ (AIS), and invasive adenocarcinoma (IAC), by integrating 3D-radiomic features and clinical data. Data from multiple hospi...

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Detalles Bibliográficos
Publicado en:Journal of Digital Imaging Vol. 37; no. 5; pp. 2135 - 2149
Autores principales: Ren, He, Wang, Qiubo, Xiao, Zhengguang, Mo, Runwei, Guo, Jiachen, Hide, Gareth Richard, Tu, Mengting, Zeng, Yanan, Ling, Chen, Li, Ping
Formato: diagnostic images equations & formulas research tables/charts Journal Article
Publicado: Springer Nature Oct2024
Acceso en línea:Ver este registro en EBSCOhost