Table 4.

External validation: segmentation performance on images with artifacts

	LV ED				LV ES
	DSC	HD (mm)	Recall	Precision	DSC	HD (mm)	Recall	Precision
CNN vs GT	0.94 (0.91–0.96)	5.2 (3.2–8.5)	0.94 (0.88–0.97)	0.96 (0.94–0.97)	0.92 (0.94–0.94)	4.8 (3.2–8.5)	0.92 (0.82–0.95)	0.94 (0.91–0.97)

	RV ED				RV ES
	DSC	HD (mm)	Recall	Precision	DSC	HD (mm)	Recall	Precision
CNN vs GT	0.90 (0.84–0.92)	8.2 (5.8–12.9)	0.87 (0.80–0.93)	0.92 (0.89–0.94)	0.88 (0.80–0.91)	8.2 (4.8–13.1)	0.85 (0.77–0.90)	0.92 (0.88–0.94)

	LVM ED				LVM ES
	DSC	HD (mm)	Recall	Precision	DSC	HD (mm)	Recall	Precision
CNN vs GT	0.79 (0.75–0.83)	5.0 (3.2–6.5)	0.87 (0.81–0.91)	0.75 (0.68–0.79)	0.83 (0.78–0.87)	4.4 (3.5–6.8)	0.88 (0.83–0.92)	0.79 (0.71–0.85)

Values are reported as median (interquartile range)

Segmentation performance on images with artifacts for the proposed CNN compared to the manual gold standard (GT)

Abbreviations as in Table 2