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Performance Test of a Well-Trained Model for Meningioma Segmentation in Health Care Centers: Secondary Analysis Based on Four Retrospective Multicenter Data Sets.

Chaoyue ChenYuen TengShuo TanZizhou WangLei ZhangJianguo Xu
Published in: Journal of medical Internet research (2023)
Deploying the trained CNN model in different health care institutions may show significant performance degradation due to the domain shift of MRIs. Under this circumstance, the use of unsupervised domain adaptation or supervised retraining should be considered, taking into account the balance between clinical requirements, model performance, and the size of the available data.
Keyphrases
  • healthcare
  • machine learning
  • convolutional neural network
  • electronic health record
  • cross sectional
  • big data
  • deep learning
  • resistance training
  • clinical trial
  • high intensity
  • optical coherence tomography