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Theoretical model for laser ablation outcome predictions in brain: calibration and validation on clinical MR thermometry images.

Samuel John FahrenholtzReza MadankanShabbar DanishJohn D HazleR Jason StaffordDavid Fuentes
Published in: International journal of hyperthermia : the official journal of European Society for Hyperthermic Oncology, North American Hyperthermia Group (2017)
During cross-validation, the calibrated model is superior to the naïve model as measured by DSC, with +22% mean prediction accuracy. Calibration empowers a relatively simple model to become more predictive.
Keyphrases
  • magnetic resonance imaging
  • multiple sclerosis
  • machine learning
  • computed tomography
  • mass spectrometry
  • functional connectivity
  • contrast enhanced
  • radiofrequency ablation
  • high speed