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【肺腺癌】基於CT影像,利用XGBoost預測「肺腺癌」的肋膜臟層表面侵犯風險

 【肺腺癌】基於CT影像,利用XGBoost預測「肺腺癌」的肋膜臟層表面侵犯風險


 文章出處  

Academic Radiology 

 

 原文標題  

A Fusion-based Radiomics Approach Combining Tumor, Peritumoral, and Habitat Features for Predicting Visceral Pleural Invasion in Stage IA Lung Adenocarcinoma 

 

 文章序號  

12366 

 

智醫科學-AI醫療技術、應用與市場動

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