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Table 4 Comparison of inter-reader agreement between the board-certified radiologist (reader 1) and the intensively trained radiology resident (reader 2) and the respective agreement of these readers with the predicted segmentations of the nnU-Net on the preHIFU data in the hold-out test set (n = 11)

From: Deep learning enables automated MRI-based estimation of uterine volume also in patients with uterine fibroids undergoing high-intensity focused ultrasound therapy

 

Dice score

Relative volume difference

Reader 1 vs. Reader 2

0.92 ± 0.02

3.69% ± 3.54%

Reader 1 vs. nnU-Net

0.94 ± 0.02

3.63% ± 2.91%

Reader 2 vs. nnU-Net

0.91 ± 0.03

4.49% ± 5.26%

  1. The table provides the mean Dice scores and the mean relative volume difference