CPC A61C 7/002 (2013.01) [G06F 18/214 (2023.01); G06T 7/0012 (2013.01); G06T 7/70 (2017.01); G06T 17/00 (2013.01); G06V 10/751 (2022.01); G06V 10/764 (2022.01); G06V 10/774 (2022.01); G06V 10/82 (2022.01); G06T 2200/08 (2013.01); G06T 2200/24 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/30036 (2013.01)] | 30 Claims |
1. A system comprising:
one or more processors coupled to a non-transitory memory, the one or more processors configured to:
generate, using a training set comprising one or more two-dimensional (2D) training images of a dental arch and a three-dimensional (3D) dental arch model, a machine-learning model configured to generate 3D models of dental arches from 2D images of the dental arches, wherein generating the machine-learning model comprises:
(i) determining a number of iterations for training the machine-learning model using the training set; and
(ii) training, based on the number of iterations, parameters of the machine-learning model using the training set;
receive one or more 2D images of a dental arch of a user obtained by a user device of the user; and
execute the machine-learning model using the one or more 2D images as input to generate a 3D model of the dental arch of the user.
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