Systems and methods for constructing a dental arch image using a machine learning model
AssigneeSDC U.S. SmilePay SPV
InventorsJordan Katzman, Christopher Yancey
Life of this patent
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Abstract
A method includes receiving, by a model generation engine, an image of a dental arch of a user, executing, by the model generation engine, a machine learning model that is trained to receive the image and output a representation of the image, where in at least one iteration during training, the machine learning model determines a difference between one or more features extracted from an iteration of the representation of the image and a corresponding one or more features extracted from the image, and the method further includes outputting, by the model generation engine, an output representation of the image.
Claims30
A method comprising:
- receiving, by a model generation engine, an image of a dental arch of a user;
- executing, by the model generation engine, a machine learning model that is trained to receive the image and output a representation of the image, wherein in at least one iteration during training, the machine learning model:
- determines a difference between one or more features extracted from an iteration of the representation of the image and a corresponding one or more features extracted from the image;
- and
- outputting, by the model generation engine, an output representation of the image.
A method comprising:
- identifying, by an image detector based on an image of a dental arch of a user, one or more features in a portion of a plurality of portions of the image;
- and
- updating, by a model generation engine, a model based on the one or more features in the portion of the plurality of portions of the image, a corresponding probability of the one or more features, and a corresponding probability of one or more features identified from a representation of the image;
- and
- outputting, by the model generation engine, the representation of the image based on the updated model.
A system comprising:
- a processing circuit comprising a processor communicably coupled to a non-transitory computer readable medium, wherein the processor is configured to execute instructions stored on the non-transitory computer readable medium that cause the processor to:
- receive an image of a dental arch of a user;
- execute a machine learning model that is trained to receive the image and output a representation of the image, wherein in at least one iteration during training, the machine learning model:
- determines a difference between one or more features extracted from an iteration of the representation of the image and a corresponding one or more features extracted from the image, wherein the one or more features extracted from the iteration of the representation of the image correspond to one or more features having a probability of being present in the image and the one or more features extracted from the image correspond to the one or more features having a probability of being present in the image;
- and
- output an output representation of the image.
Dependencies are inferred from the claim text.