An accurate and time-efficient deep learning-based system for automated segmentation and reporting of cardiac magnetic resonance-detected ischemic scar

•Cardiac ischemic scar can be accurately assessed on dark blood late enhancement imaging.•The developed model accurately segments ischemic scar (IoU: 0.85 on test dataset).•The developed model reduces computational time 5-fold compared to manual segmentation.•The developed system automatically generates a quantitative clinical report.