Summary of performance metrics for vascular classification in the training, validation, and testing datasets

Dataset	Sensitivity (Recall) $\text{[math]}$		PPV (Precision) $\text{[math]}$		DSC (F1 Score) $\text{[math]}$		Accuracy $\text{[math]}$
Dataset	Mean	95% CI	Mean	95% CI	Mean	95% CI	Mean	95% CI
Validation (n = 8)	97.8%	(96.9%–98.7%)	97.2%	(96.4%–98.1%)	97.5%	(97.0%–98.0%)	98.4%	(98.0%–98.7%)
Testing (n = 62)	97.6%	(96.5%–98.6%)	98.5%	(97.6%–99.3%)	98.0%	(97.4%–98.7%)	98.7%	(98.3%–99.1%)

Note:—TP indicates true-positive; FN, false-negative; PPV, positive predictive value; FP, false-positive; TN, true-negative; F1, Dice similarity coefficients.