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

@article{Ludwig2020PerformanceOR,
  title={Performance of Radiomics derived morphological features for prediction of aneurysm rupture status},
  author={Calvin Gerald Ludwig and Alexandra Lauric and Justin A Malek and Ryan Mulligan and Adel M. Malek},
  journal={Journal of NeuroInterventional Surgery},
  year={2020},
  volume={13},
  pages={755 - 761}
}
Background Morphological differences between ruptured and unruptured cerebral aneurysms represent a focus of neuroimaging researchfor understanding the mechanisms of aneurysmal rupture. We evaluated the performance of Radiomics derived morphological features, recently proposed for rupture status classification, against automatically measured shape and size features previously established in the literature. Methods 353 aneurysms (123 ruptured) from three-dimensional rotational catheter… 
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TLDR
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TLDR
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