Deep learning-based detection of functionally significant stenosis in coronary ct angiography

HIGHLIGHTS

• who: Nils Hampe from the Heinrich Heine University of Du00fcsseldorf, Germany have published the paper: Deep learning-based detection of functionally significant stenosis in coronary CT angiography, in the Journal: (JOURNAL)
• what: Using these characteristics, the authors assess the presence of a functionally significant stenosis with a dedicated CNN . The authors evaluate the performance of the method by computing AUC, accuracy, sensitivity, and specificity using the invasively measured FFR as reference. The results showed that the models using all characteristics but one reach reasonable performance and only omitting the lumen area lead to a statistically . . .
  

   

  

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