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Patent Searching and Data


Title:
METHOD AND APPARATUS FOR TRAINING DENTAL CAST DEFORMATION MODEL
Document Type and Number:
WIPO Patent Application WO/2022/194258
Kind Code:
A1
Abstract:
Provided in the embodiments of the present disclosure are a method and apparatus for training a dental cast deformation model, which method and apparatus relate to the technical field of three-dimensional deformation. The method comprises: acquiring sample data, wherein the sample data comprises a plurality of initial dental casts acquired by means of scanning an oral cavity, and corresponding target deformation models obtained by means of artificially processing the initial dental casts; acquiring a feature tensor corresponding to each initial dental cast, wherein each element of the feature tensor corresponding to each initial dental cast is a TSDF value of each voxel in a cube space where each initial dental cast is located; inputting the feature tensor corresponding to each initial dental cast into a preset network model, so as to acquire a predicted deformation model corresponding to each initial dental cast; and according to a target deformation model and the predicted deformation model corresponding to each initial dental cast, optimizing the preset network model to acquire a dental cast deformation model. The embodiments of the present disclosure are used for acquiring a dental cast deformation model which can automatically convert an initial dental cast into a dental cast meeting specific product requirements.

Inventors:
LIU NALI (CN)
TIAN YAN (CN)
JIANG TENGFEI (CN)
ZHAO XIAOBO (CN)
Application Number:
PCT/CN2022/081543
Publication Date:
September 22, 2022
Filing Date:
March 17, 2022
Export Citation:
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Assignee:
SHINING 3D TECH CO LTD (CN)
International Classes:
G06T19/20; A61C7/00; G06T7/00; G06T17/00
Foreign References:
CN111265317A2020-06-12
CN111612778A2020-09-01
CN110930513A2020-03-27
US20190125493A12019-05-02
CN112884885A2021-06-01
Attorney, Agent or Firm:
BEIJING MIZAR STAR INTELLECTUAL PROPERTY AGENCY CO., LTD. (CN)
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