Login / Signup

Predicting the risk stratification of gastrointestinal stromal tumors using machine learning-based ultrasound radiomics.

Minling ZhuoYi TangJingjing GuoQingfu QianEnsheng XueZhi-Kui Chen
Published in: Journal of medical ultrasonics (2001) (2023)
Machine learning-based ultrasound radiomics features are able to noninvasively predict the biological risk of GISTs.
Keyphrases
  • machine learning
  • magnetic resonance imaging
  • lymph node metastasis
  • contrast enhanced
  • contrast enhanced ultrasound
  • ultrasound guided
  • artificial intelligence
  • squamous cell carcinoma
  • big data
  • magnetic resonance