Table 2 Correlation (R) and mean error for parameters extracted from segmentations, and intra-observer parameter reproducibility
From: A deep learning pipeline for automatic analysis of multi-scan cardiovascular magnetic resonance
Parameter | Deep learning | Human performance | ||||
|---|---|---|---|---|---|---|
Train | Validation | |||||
R | Error (%) | R | Error (%) | R | Error (%) | |
Cine LVEF (%) | 0.99 | 1.00 | 0.99 | 1.10 | 0.93 | 3.79 |
Cine RVEF (%) | 0.84 | 4.12 | 0.76 | 4.05 | 0.70 | 5.77 |
LGE Scar (%) | 0.91 | 3.69 | 0.78 | 5.39 | 0.60 | 5.97 |
Native T1 mean values (ms) | 0.99 | 0.69 | 0.98 | 1.00 | 0.83 | 3.24 |
Post-contrast T1 mean values (ms) | 0.99 | 1.22 | 0.99 | 0.73 | 0.99 | 1.10 |
Native T2 mean values (ms) | 0.99 | 0.95 | 0.99 | 0.65 | 0.99 | 0.89 |
AO Flow amplitude (mL) | 0.99 | 3.16 | 0.89 | 5.77 | 0.92 | 6.03 |