A deep learning radiomics model based on ct images for predicting the biological activity of hepatic cystic echinococcosis

HIGHLIGHTS

• What: In this research, the aim is to construct a prediction model for the biological activity grading of hepatic cystic echinococcosis.
• Who: Wei Wang et al. from the University, China have published the research: A deep learning radiomics model based on CT images for predicting the biological activity of hepatic cystic echinococcosis, in the Journal: (JOURNAL) of 18/05/2024
• How: The authors conducted 20 epochs of training and selected the epoch with the lowest validation set loss as the final model. The authors chose the MedicalNet transfer project as the transfer learning . . .
  

   

  

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