【肝癌】利用MRI 2.5D深度學習和放射組學，預測「肝癌」的微血管侵犯和Ki-67表達(>20%)

 【肝癌】利用MRI 2.5D深度學習和放射組學，預測「肝癌」的微血管侵犯和Ki-67表達(>20%)

 文章出處  

PLOS ONE 

 

 原文標題  

MRI-based 2.5D deep learning and radiomics effectively predicted microvascular invasion and Ki-67 expression in hepatocellular carcinoma 

 

 文章序號  

10064 

 

智醫科學－AI醫療技術、應用與市場動態

Copyright ©2025 智醫科學 MEDai.tw All rights reserved.

The content of this site is intended for healthcare and medical professionals.