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公开(公告)号:US20220008175A1
公开(公告)日:2022-01-13
申请号:US17429108
申请日:2020-02-06
Applicant: 3SHAPE A/S
Inventor: Henrik ÖJELUND , Karl-Josef HOLLENBECK , Erik ASK
Abstract: A computer-implemented method of generating a dental model based on an objective function output, including creating an objective function including at least one quality estimation function which trains at least one machine learning method that generates quality estimation output, and an objective function output is the output of the objective function providing a model as an input data to the objective function and generating model-related objective function output; and modifying the model based on the model-related objective function output to transform the model to a generated model, wherein the generated model is the dental model.
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公开(公告)号:US20250064562A1
公开(公告)日:2025-02-27
申请号:US18717661
申请日:2022-12-09
Applicant: 3SHAPE A/S
Inventor: Karl-Josef HOLLENBECK , Bárdur ÍSLEIFSSON , Erik ASK , Peter Steen Hansen
Abstract: The present disclosure relates to a computer-implemented method for designing a dental prosthesis. A first step of the method may be to obtain a digital 3D representation of a surface, the surface including at least a part of a preparation surface adapted to receive the dental prosthesis, wherein the preparation surface includes a visible part and a hidden part. A second step of the method may be to determine at least one part of a surface of the dental prosthesis using a statistical design model, wherein the at least one part is determined independent of any knowledge or estimate of the hidden part of the preparation surface. A final step of the method may be to design the dental prosthesis wherein the surface of the dental prosthesis includes the at least one part.
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公开(公告)号:US20250090287A1
公开(公告)日:2025-03-20
申请号:US18904237
申请日:2024-10-02
Applicant: 3SHAPE A/S
Inventor: Henrik ÖJELUND , Karl-Josef HOLLENBECK , Erik ASK
Abstract: Disclosed is a computer-implemented method of generating a dental model based on an objective function output, including creating an objective function including at least one quality estimation function which trains at least one machine learning method that generates quality estimation output, and an objective function output is the output of the objective function providing a model as an input data to the objective function and generating model-related objective function output; and modifying the model based on the model-related objective function output to transform the model to a generated model, wherein the generated model is the dental model.
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