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

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• who: Chao-Chun Chang from the Lakehead University, Canada have published the Article: 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, in the Journal: (JOURNAL)
• what: Radiomics-based ML achieved an accuracy of 90%, indicating that the model had good performance using UECT. The study demonstrated that wavelet-based features were selected by two datasets, suggesting the importance of high order features in imaging identification. According to the research approach, the authors have developed separate . . .
  

   

  

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