Age prediction from coronary angiography using a deep neural network: age as a potential label to extract prognosis-related imaging features

HIGHLIGHTS

• who: Shinnosuke Sawano and collaborators from the Department of Cardiovascular Medicine, The University of Tokyo Hospital, Tokyo, Japan, Department of have published the article: Age prediction from coronary angiography using a deep neural network: Age as a potential label to extract prognosis-related imaging features, in the Journal: PLOS ONE of 26/07/2022
• what: The authors focused on the estimation of vascular age using CAG imaging in this study. The aim of this study was to develop a deep learning neural_network to estimate vascular age based on coronary angiographic imaging and to examine the . . .
  

   

  

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