TABLE 2.

Datasets used in this study

Phase	Dataset name	Number of subject/image	Side	Manual review	Selection method	Purpose
Technical development	Training Set 1	23/1326	Index	Reviewer 1	Simple random sample	Train the neural network model for artery localization and segmentation
	Validation Set 1	2/117	Index	Reviewer 1		Monitor the training procedure and tune parameters
Fine tuning and Validation	Training Set 2	100/7372	Index	N/A	Stratified random sample enriched with high-risk subjects	Further model tuning in a larger dataset, with reviewer’s help to identify mistakes and confirm improvements
	Validation Set 2	10/743	Index	Reviewer 1 (N = 10), Reviewer 2 (N = 10)		Contours drawn by both reviewers to compare quantitatively to decide when to stop tuning. Also assess inter-rater variability
	Testing Set 1	25/1843	Index	Reviewer 1 (N = 12), Reviewer 2 (N = 13)		Used for performance evaluation in the quantitative assessment
	Testing Set 2	225/16633	Index	N/A		Used for performance evaluation in the qualitative assessment
Performance evaluation	Testing Set 3	50/3711(24 mo), 50/3738 (30 mo)	Index	N/A	Simple random sample	Used for performance evaluation in the repeatability assessment
	Testing Set 4	50/3562 (high risk), 50/3536 (low risk)	Both	N/A	Stratified random samples of the high-risk and low-risk groups	Used for evaluating feature differences between high and low risk subjects