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Machine Learning on Ultrasound Texture Analysis Data for Characterizing of Salivary Glandular Tumors: A Feasibility Study.

Li-Jen LiaoPing-Chia ChengFeng-Tsan Chan
Published in: Diagnostics (Basel, Switzerland) (2024)
US texture analysis with ML has potential as an objective and valuable tool to make a differential diagnosis between benign and malignant salivary gland tumors.
Keyphrases
  • machine learning
  • magnetic resonance imaging
  • big data
  • computed tomography
  • magnetic resonance
  • contrast enhanced
  • risk assessment
  • human health