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AI Evaluation of Imaging Factors in the Evolution of Stage-Treated Metastases Using Gamma Knife.

Calin G BuzeaRazvan BugaMaria-Alexandra PaunMadalina AlbuDragos T IancuBogdan Ionut DobrovatMaricel AgopViorel-Puiu PaunLucian Eva
Published in: Diagnostics (Basel, Switzerland) (2023)
Among the three models analyzed, the CNN_model, trained from scratch, provided the most accurate predictions of SRS responses for unlearned BM images. This suggests that CNN models could potentially predict SRS prognoses from small datasets. However, further analysis is needed, especially in cases where class imbalances exist.
Keyphrases
  • convolutional neural network
  • high resolution
  • deep learning
  • artificial intelligence
  • optical coherence tomography
  • resistance training
  • machine learning
  • mass spectrometry
  • body composition