29. The non-transitory computer readable medium of claim 27 , wherein pruning the one or more branches of the detected centerline tree of the target vessel based on the classification of each of the plurality of centerline points as a vessel point or a non-vessel point comprises: for each branch of the one or more branches of the detected centerline: calculating an error value for each centerline point in the branch by summing a number of centerline points upstream of that centerline point that are classified as non-vessel points and a number of centerline points downstream of that centerline point that are classified as vessel points, selecting a centerline point with a smallest error value as a pruning point, and pruning the branch by removing all centerline points downstream of the pruning point.
27. The non-transitory computer readable medium of claim 21 , wherein pruning the one or more branches of the detected centerline tree of the target vessel based on the final probability scores of the plurality of centerline points in the one or more branches of the detected centerline tree of the target vessel comprises: classifying each of the plurality of centerline points in the one or more branches of the detected centerline tree of the target vessel as a vessel point or a non-vessel point based on the final probability scores of the plurality of centerline points; and pruning the one or more branches of the detected centerline tree of the target vessel based on the classification of each of the plurality of centerline points as a vessel point or a non-vessel point.