【中風】基於無顯影劑電腦斷層，使用ML識別「急性缺血性中風」發生「出血性轉化」風險

 【中風】基於無顯影劑電腦斷層影像，使用ML識別「急性缺血性中風」發生「出血性轉化(HT)」風險

 文章出處  

Frontiers in Neurology 

 

 原文標題  

Constructing machine learning models based on non-contrast CT radiomics to predict hemorrhagic transformation after stoke: a two-center study 

 

 文章序號  

6205 

 

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