【肺結節】基於CT特徵，利用機器學習識別「亞實質性肺結節(SSN)」的侵襲性風險

 【肺結節】基於CT特徵，利用機器學習識別「亞實質性肺結節(SSN)」的侵襲性風險

 文章出處  

Frontiers in Oncology 

 

 原文標題  

Machine Learning Models Based on Artificial Intelligence-Derived CT Quantitative Parameters and CT Semantic Features for Predicting the Invasive Risk of Subsolid Pulmonary Nodules: A Dual-Center Study 

 

 文章序號  

13200 

 

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