CPC A61C 7/002 (2013.01) [G06N 20/00 (2019.01); G06T 19/20 (2013.01); A61C 2007/004 (2013.01); G06T 2210/41 (2013.01); G06T 2219/2004 (2013.01)] | 33 Claims |
1. A computer-implemented method comprising:
forming a spline along a jaw;
proposing potential interdental gaps, by performing one or more of the interdental gap detection steps of: analyzing tooth cross-sections, detecting interdental papilla, and classifying tooth intervals;
weighting the potential interdental gaps, based on one or more of the interdental gap detection steps, to obtain one or more delimiters;
automatically proposing a tooth number probability, for each of one or more possible tooth alignments between at least one pair of fixed delimiters of the one or more delimiters, using an alignments module; and
computing a best fit tooth number distribution, from the one or more possible tooth alignments, responsive to the automatically proposing step, using at least the proposed tooth number probability of each of the one or more possible tooth alignments;
wherein the alignments module is a machine learning engine.
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