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The close agreement of classification of ejection fraction between visual estimation by expert readers and automated quantification via deep learning left ventricle segmentation
| Reader 2 |
Reader 3 |
||||||
|---|---|---|---|---|---|---|---|
| <40% | 40–50% | >50% | <40% | 40–50% | >50% | ||
| DL predict | <40% | 30 | 3 | 0 | 31 | 1 | 1 |
| 40–50% | 0 | 7 | 4 | 8 | 2 | 1 | |
| >50% | 0 | 9 | 91 | 2 | 15 | 83 | |
The classification of EF into <40%, 40–50%, and >50% with the DL approach agreed with visual prediction in 88.9% and 80.5% of cases for Reader 2 and 3, respectively.
