【中風】基於T2-FLAIR白質訊號，利用機器學習預測EVT術後出血性轉化(HT)發生風險

 【中風】基於T2-FLAIR白質訊號，利用機器學習預測EVT術後出血性轉化(HT)發生風險

 文章出處  

 BMC Medical Imaging 

 

 原文標題  

Machine learning–based radiomic analysis of T2-FLAIR white matter hyperintensity predicts hemorrhagic transformation after endovascular thrombectomy for acute ischemic stroke 

 

 文章序號  

12407 

 

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