Invention Grant
- Patent Title: Automated classification and taxonomy of 3D teeth data using deep learning methods
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Application No.: US16652886Application Date: 2018-10-02
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Publication No.: US11568533B2Publication Date: 2023-01-31
- Inventor: David Anssari Moin , Frank Theodorus Catharina Claessen , Bas Alexander Verheij
- Applicant: Promaton Holding B.V.
- Applicant Address: NL Amsterdam
- Assignee: Promaton Holding B.V.
- Current Assignee: Promaton Holding B.V.
- Current Assignee Address: NL Amsterdam
- Agency: Westman, Champlin & Koehler, P.A.
- Agent Steven M. Koehler
- Priority: EP17194460 20171002
- International Application: PCT/EP2018/076871 WO 20181002
- International Announcement: WO2019/068741 WO 20190411
- Main IPC: G06T7/11
- IPC: G06T7/11 ; G06T7/00 ; A61B6/14 ; A61B6/00 ; G06N3/08 ; G06T11/00

Abstract:
A computer-implemented method for automated classification of 3D image data of teeth includes a computer receiving one or more of 3D image data sets where a set defines an image volume of voxels representing 3D tooth structures within the image volume associated with a 3D coordinate system. The computer pre-processes each of the data sets and provides each of the pre-processed data sets to the input of a trained deep neural network. The neural network classifies each of the voxels within a 3D image data set on the basis of a plurality of candidate tooth labels of the dentition. Classifying a 3D image data set includes generating for at least part of the voxels of the data set a candidate tooth label activation value associated with a candidate tooth label defining the likelihood that the labelled data point represents a tooth type as indicated by the candidate tooth label.
Public/Granted literature
- US20200320685A1 AUTOMATED CLASSIFICATION AND TAXONOMY OF 3D TEETH DATA USING DEEP LEARNING METHODS Public/Granted day:2020-10-08
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