Dental cad automation using deep learning
AssigneeJames R. Glidewell Dental Ceramics, Inc.
InventorsSergei Azernikov, Sergey Nikolskiy
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Abstract
Computer-implemented methods for generating a 3D dental prosthesis model are disclosed herein. The methods comprise training a deep neural network to generate a first 3D dental prosthesis model using a training data set; receiving a patient scan data representing at least a portion of a patient's dentition; and generating, using the trained deep neural network, the first 3D dental prosthesis model based on the received patient scan data.
Claims20
A computer-implemented method for generating dental restoration associated with dental model of dentition, the method comprising:
- receiving, a the one or more computing devices, a patient scan data representing at least a portion of a patient's dentition;
- and
- generating, using a trained deep neural network, a first 3D dental prosthesis model based on the received patient scan data,
- wherein the trained deep neural network comprises a generative adversarial network (GAN).
A computer-implemented method for generating dental restoration associated with dental model of dentition, the method comprising:
- training, by one or more computing devices, a deep neural network to generate a first 3D dental prosthesis model using a training data set comprising a dentition scan data set with preparation site data and a dental prosthesis data set, wherein the dental prosthesis data set comprises scanned prosthesis data associated with each preparation site in the dentition scan data set.
A computer-implemented method for generating dental restoration associated with dental model of dentition, the method comprising:
- receiving, by a one or more computing devices, a patient scan data representing at least a portion of a patient's dentition;
- and
- generating, using a trained deep neural network, a first 3D dental prosthesis model based on the received patient scan data,
- generating, using a second trained deep neural network, a second 3D dental prosthesis model based on the received patient scan data.
Dependencies are inferred from the claim text.