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Performance of Radiomics derived morphological features for prediction of aneurysm rupture status.

Calvin Gerald LudwigAlexandra LauricJustin A MalekRyan MulliganAdel M Malek
Published in: Journal of neurointerventional surgery (2020)
Although recently introduced Radiomics analysis for aneurysm shape and size evaluation has the advantage of being an efficient operator independent methodology, it currently offers inferior rupture status discriminant performance compared with established descriptors. Future research is needed to extend the current Radiomics feature set to better capture aneurysm shape information.
Keyphrases
  • coronary artery
  • lymph node metastasis
  • contrast enhanced
  • abdominal aortic aneurysm
  • machine learning
  • magnetic resonance imaging
  • current status
  • squamous cell carcinoma
  • deep learning
  • healthcare
  • magnetic resonance