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Posterior circulation ischemic stroke: radiomics-based machine learning approach to identify onset time from magnetic resonance imaging.

Zhenhao LiuShiyu ZhangYuxin WangHui XuYongqiang GaoHong JinYufeng ZhangHongyang WuJun LuPeipei ChenPeng-Gang QiaoZheng-Han Yang
Published in: Neuroradiology (2024)
The PCIS case-based ML model was effective for estimating the symptom onset time and achieved considerably high specificity and stability.
Keyphrases
  • magnetic resonance imaging
  • machine learning
  • contrast enhanced
  • computed tomography
  • lymph node metastasis
  • atrial fibrillation
  • artificial intelligence
  • deep learning