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      Automatic characterization of myocardial perfusion imaging polar maps employing deep learning and data augmentation.

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          Abstract

          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.

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          Author and article information

          Journal
          Hell J Nucl Med
          Hellenic journal of nuclear medicine
          1790-5427
          1790-5427
          July 28 2020
          : 23
          : 2
          Affiliations
          [1 ] University of Patras, Medical School, Department of Medical Physics, Rio, Achaia, PC 26504, Greece. ece7216@upnet.gr.
          Article
          s002449912101
          10.1967/s002449912101
          32716403
          82daeed7-d61e-406b-b4c4-3de92300fb47
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