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Effect of age and sex on fully automated deep learning assessment of left ventricular function,volumes, and contours in cardiac magnetic resonance imaging |
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| Authors: | Chen Vincent Barker Alex J. Golan Rotem Scott Michael B. Huh Hyungkyu Wei Qiao Sojoudi Alireza Markl Michael |
| Affiliation: | 1.Department of Internal Medicine, Northwestern University, Chicago, IL, USA ;2.Department of Radiology, Northwestern University, 737 N. Michigan Avenue, Suite 1600, Chicago, IL, 60611, USA ;3.Department of Radiology, University of Colorado, Denver, CO, USA ;4.Circle Cardiovascular Imaging, Inc., Calgary, Canada ;5.Daegu-Gyeongbuk Medical Innovation Foundation, Daegu, South Korea ; |
| Abstract: | The International Journal of Cardiovascular Imaging - Deep learning algorithms for left ventricle (LV) segmentation are prone to bias towards the training dataset. This study assesses sex- and... |
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