Invention Grant
- Patent Title: Dental CAD automation using deep learning
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Application No.: US15660073Application Date: 2017-07-26
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Publication No.: US11291532B2Publication Date: 2022-04-05
- Inventor: Sergei Azernikov , Sergey Nikolskiy
- Applicant: James R. Glidewell Dental Ceramics, Inc.
- Applicant Address: US CA Newport Beach
- Assignee: James R. Glidewell Dental Ceramics, Inc.
- Current Assignee: James R. Glidewell Dental Ceramics, Inc.
- Current Assignee Address: US CA Newport Beach
- Agent Charles Fowler
- Main IPC: A61C13/00
- IPC: A61C13/00 ; G06T7/00 ; G06K9/62 ; G06K9/00 ; G06N3/08 ; G06N5/04 ; A61C7/00 ; G06V20/64

Abstract:
A computer-implemented method of recognizing dental information associated with a dental model of dentition includes training a deep neural network to map a plurality of training dental models representing at least a portion of each one of a plurality of patients' dentitions to a probability vector including probability of the at least a portion of the dentition belonging to each one of a set of multiple categories. The category of the at least a portion of the dentition represented by the training dental model corresponds to the highest probability in the probability vector. The method includes receiving a dental model representing at least a portion of a patient's dentition and recognizing dental information associated with the dental model by applying the trained deep neural network to determine a category of the at least a portion of the patient's dentition represented by the received dental model.
Public/Granted literature
- US20180028294A1 DENTAL CAD AUTOMATION USING DEEP LEARNING Public/Granted day:2018-02-01
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