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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Bibliographic Details

Published in:	Journal of Digital Imaging Vol. 37; no. 5; pp. 2135 - 2149
Main Authors:	Ren, He, Wang, Qiubo, Xiao, Zhengguang, Mo, Runwei, Guo, Jiachen, Hide, Gareth Richard, Tu, Mengting, Zeng, Yanan, Ling, Chen, Li, Ping
Format:	diagnostic images equations & formulas research tables/charts Journal Article
Published:	Springer Nature Oct2024
Online Access:	View this record in EBSCOhost