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US Patent 11842484 Teeth segmentation using neural networks

Patent 11842484 was granted and assigned to JAMES R. GLIDEWELL, DENTAL CERAMICS, INC. on December, 2023 by the United States Patent and Trademark Office.

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Is a
Patent
Patent
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Patent attributes

Patent Applicant
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JAMES R. GLIDEWELL, DENTAL CERAMICS, INC.
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Current Assignee
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JAMES R. GLIDEWELL, DENTAL CERAMICS, INC.
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
118424840
Patent Inventor Names
Sergey Nikolskiy0
Fedor Chelnokov0
Andrey Tolstov0
Sergei Azernikov0
Date of Patent
December 12, 2023
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Patent Application Number
171407390
Date Filed
January 4, 2021
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Patent Citations
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US Patent 9865176 Health monitoring system
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US Patent 10278584 Method and system for three-dimensional imaging
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US Patent 10438363 Method, apparatus and program for selective registration three-dimensional tooth image data to optical scanning tooth model
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US Patent 7187790 Data processing and feedback method and system
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US Patent 7490085 Computer-assisted data processing system and method incorporating automated learning
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US Patent 7860300 Method and system for determining a sharp panoramic image constructed from a group of projection images
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US Patent 8068580 Methods and devices for quantitative analysis of x-ray images
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US Patent 9818186 Method for forming 3D maxillofacial model by automatically segmenting medical image, automatic image segmentation and model formation server performing the same, and storage medium storing the same
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...
Patent Primary Examiner
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Van D Huynh
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CPC Code
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G06T 2207/20084
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G06T 7/0012
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G06T 7/11
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G06T 2207/30036
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G06T 2207/20081
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G06T 2207/20152
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Patent abstract

A computer-implemented method and system of digitally segmenting teeth in a digital model comprises generating a panoramic image from a 3D digital model of a patient's dentition, labeling, using a first trained neural network, the panoramic image to provide a labeled panoramic image, mapping the labeled panoramic image to corresponding coarse digital surface triangle labels in the 3D digital model to provide a labeled 3D digital model, and segmenting the labeled 3D digital model to provide a segmented 3D digital model. A computer-implemented method and system of generating a panoramic image comprises determining, using a trained neural network, digital tooth bounding region(s) corresponding to digital teeth from a 2D depth map of a patient's dentition, connecting digital tooth bounding region(s) by a spline, determining sampled digital surface points from the sampled spline points; and determining associated digital surface points corresponding to each sampled digital surface point.

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