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Machine learning-based radiomic analysis and growth visualization for ablation site recurrence diagnosis in follow-up CT.

Yunchao YinRobbert J de HaasNatalia AlvesJan Pieter PenningsSimeon J S RuiterThomas C KweeDerya Yakar
Published in: Abdominal radiology (New York) (2024)
Machine learning-based radiomic analysis and growth visualization proved effective in detecting ablation site recurrence on follow-up CT scans.
Keyphrases
  • machine learning
  • computed tomography
  • dual energy
  • artificial intelligence
  • magnetic resonance imaging
  • positron emission tomography
  • big data
  • deep learning