Skip to main content

  • Study: ‘Transformer’ Deep Learning Improves Diagnosis of Plaque Erosion by OCT vs. Convolutional Neural Network

    A novel “Transformer”-based deep learning (DL) model improves diagnostic accuracy of plaque erosion by optical coherence tomography (OCT) in comparison to a convolutional neural network (CNN) DL model, according to a new study.

This site uses cookies. By continuing to browse the site you are agreeing to our use of cookies. Review our Privacy Policy for more details