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A Neoteric Feature Extraction Technique to Predict the Survival of Gastric Cancer Patients.

Warid IslamNeman AbdoliTasfiq E AlamMeredith JonesBornface M MutembeiFeng YanQinggong Tang
Published in: Diagnostics (Basel, Switzerland) (2024)
This study demonstrated that although radiomics features produced good classification performance, creating new feature sets significantly improved the model performance.
Keyphrases
  • machine learning
  • deep learning
  • squamous cell carcinoma
  • magnetic resonance imaging
  • computed tomography
  • free survival
  • neural network