CPC G06T 7/0012 (2013.01) [G06T 11/60 (2013.01); G16H 10/60 (2018.01); G16H 30/40 (2018.01); G16H 50/50 (2018.01); G06T 2207/20081 (2013.01); G06T 2207/30101 (2013.01)] | 20 Claims |
1. A method of generating a model to classify a vasculature, the method comprising:
obtaining a trained model of a vasculature, wherein the trained model was trained from image data that represents a plurality of first vessel trees of a plurality of vasculatures and includes labeling of at least one vessel in each of the plurality of first vessel trees;
obtaining an image representing a second vessel tree;
identifying a deviation between a vessel geometry in the trained model and a vessel geometry in the second vessel tree;
providing a labeling of the deviation; and
adjusting, based on the deviation and the labeling of the deviation, the trained model to classify the vasculature.
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