Clinical radiomics-based machine learning versus three-dimension convolutional neural network analysis for differentiation of thymic epithelial tumors from other prevascular mediastinal tumors on chest computed tomography scan

Clinical radiomics-based machine learning versus three-dimension convolutional neural network analysis for differentiation of thymic epithelial tumors from other prevascular mediastinal tumors on chest computed tomography scan

PurposeTo compare the diagnostic performance of radiomic analysis with machine learning (ML) model with a convolutional neural network (CNN) in differentiating thymic epithelial tumors (TETs) from other prevascular mediastinal tumors (PMTs).MethodsA retrospective study was performed in patients with...

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Bibliographic Details
Main Authors: Chao-Chun Chang, En-Kuei Tang, Yu-Feng Wei, Chia-Ying Lin, Fu-Zong Wu, Ming-Ting Wu, Yi-Sheng Liu, Yi-Ting Yen, Mi-Chia Ma, Yau-Lin Tseng
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-04-01
Series:Frontiers in Oncology
Subjects:
radiomics
convolutional neural networks
deep learning
machine learning
prevascular mediastinal tumor
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2023.1105100/full

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https://www.frontiersin.org/articles/10.3389/fonc.2023.1105100/full

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