https://www.selleckchem.com/products/d-1553.html
In the per-vessel analysis, the attenuation and calcification burden index closely correlated with human measurements (r=0.89 and r=0.95, respectively), as did the maximal attenuation and calcification burden index over 4mm (r=0.82 and r=0.91, respectively). The inference times were 0.05s per frame and 7.8s per vessel. Our deep learning algorithms for plaque characterization may assist clinicians in recognizing high-risk coronary lesions. Our deep learning algorithms for plaque characterization may assist clinicians in recognizing high-r
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