Quantitative analysis of chest MRI images for benign malignant diagnosis of pulmonary solid nodules

Quantitative analysis of chest MRI images for benign malignant diagnosis of pulmonary solid nodules

BackgroundIn this study, we developed and validated machine learning (ML) models by combining radiomic features extracted from magnetic resonance imaging (MRI) with clinicopathological factors to assess pulmonary nodule classification for benign malignant diagnosis.MethodsA total of 333 consecutive...

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Bibliographic Details
Main Authors: Bin Yang, Yeqi Gao, Jie Lu, Yefu Wang, Ren Wu, Jie Shen, Jialiang Ren, Feiyun Wu, Hai Xu
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-08-01
Series:Frontiers in Oncology
Subjects:
magnetic resonance imaging
radiomics
machine learning
pulmonary nodules
differential diagnosis
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2023.1212608/full

Internet

https://www.frontiersin.org/articles/10.3389/fonc.2023.1212608/full

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