Table 2.

Labeling results from leave-one-out validation

Artery	Correctly identified existing (TP)	Correctly identified non-existing (TN)	Mislabeled non-existing (FP)	Mislabeled existing (FN)	Not identified (FN)	Too short (FN)	Sensitivity [%]	Specificity [%]	Accuracy [%]
Right ICA	165	0	0	2	0	0	99	–	99
Left ICA	167	0	0	0	0	0	100	–	100
BA	163	0	1	2	1	0	98	0	98
Right VA	136	4	11	7	1	9	89	27	84
Left VA	145	8	5	6	0	4	95	57	92
Right PCA	165	1	0	0	0	1	99	100	99
Left PCA	163	2	0	0	0	2	99	100	99
Right MCA	167	0	0	0	0	0	100	–	100
Left MCA	167	0	0	0	0	0	100	–	100
Right ACA	154	9	1	0	3	0	98	9	98
Left ACA	160	5	0	0	2	0	99	100	99
ACAdistal	167	0	0	0	0	0	100	–	100
Right PCoA	43	112	5	0	7	0	86	96	93
Left PCoA	26	124	13	0	4	0	87	91	90
Right MCAdistal	160	2	3	0	0	2	99	40	97
Left MCAdistal	142	3	4	0	5	13	89	43	86

True positive (TP), false positive (FP), true negative (TN), and false negative (FN) rates, as well as sensitivity and specificity for identifying each artery with AAIM are also presented. Without any TN or FP, it is not possible to calculate specificity

ICA Internal carotid artery, VA Vertebral artery, BA Basilar artery, PCA Posterior cerebral artery, MCA Middle cerebral artery, ACA Anterior cerebral artery, PCoA Posterior communicating artery