Techniques are disclosed related to using anatomical mask data acquired via magnetic resonance imaging (MRI) scans to train a convolutional neural network (CNN). The training may include the verification of cardiac scar tissue locations data obtained from the anatomical mask data with a reliable system for doing so, such as ground truth data from enhanced cardiac MRI late gadolinium enhanced (LGE) scans. Once the CNN is adequately trained using the anatomical mask data, the CNN may be used to identify cardiac scar tissue from image data obtained from medical imaging modalities other than MRI.
