Automatic characterization of myocardial perfusion imaging polar maps employing deep learning and data augmentation.
Journal:
Hellenic journal of nuclear medicine
Published Date:
Jan 1, 2020
Abstract
OBJECTIVE: To investigate a deep learning technique, more specifically state-of-the-art convolutional neural networks (CNN), for automatic characterization of polar maps derived from myocardial perfusion imaging (MPI) studies for the diagnosis of coronary artery disease.