Deep learning-based end-to-end automated stenosis classification and localization on catheter coronary angiography

HIGHLIGHTS

  • who: Chao Cong from the German Heart Center Berlin, Germany Huazhong University of Science have published the research work: Deep learning-based end-to-end automated stenosis classification and localization on catheter coronary angiography, in the Journal: (JOURNAL)
  • what: The authors propose a fully automatic, deep learning-based end-to-end CAG stenosis detection method to achieve efficient safety screening and precise localization of stenoses. Since the authors aimed to develop a safety screening tool for a large volume of the CAG images, the authors selected a stenosis threshold with high specificity to correctly separate . . .

     

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