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Three-dimensional tooth point cloud model data classification method and system based on deep learning

A point cloud model and deep learning technology, applied in neural learning methods, 3D object recognition, biological neural network models, etc., can solve problems such as tooth deformity, misalignment, and tooth classification difficulties, achieve high-precision classification, and improve classification accuracy Effect

Active Publication Date: 2021-06-18
SHANDONG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Human teeth have their distribution rules, the teeth are distributed along the dental arch line, and all kinds of teeth are arranged in a fixed order from the middle to both sides, but not all teeth can be arranged according to this rule, according to relevant statistics The prevalence of teeth in my country has reached an astonishing 90% or more. Many people have various problems such as deformity, dislocation, loss, and damage of teeth due to different reasons, which leads to various abnormalities in teeth in medical images. situation, which poses great difficulties for tooth classification in medical imaging

Method used

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  • Three-dimensional tooth point cloud model data classification method and system based on deep learning

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Embodiment 1

[0045] This embodiment provides a three-dimensional tooth point cloud model data classification method based on deep learning;

[0046] Such as figure 1 with Figure 8 As shown, the 3D tooth point cloud model data classification method based on deep learning includes:

[0047] S101: Obtain a three-dimensional tooth model, and extract a whole set of tooth point cloud models from the three-dimensional tooth model;

[0048] S102: Segment the entire tooth point cloud model to obtain several single tooth point cloud models;

[0049] S103: For the single tooth point cloud model, extract the single tooth point cloud model feature, relative position feature and adjacent similarity feature, and input them into the classifier respectively; the various input features will be classified in the classifier, and output Preliminary classification results for a single tooth.

[0050] Further, the method also includes:

[0051] S104: Perform tooth category abnormality detection on the clas...

Embodiment 2

[0154] This embodiment provides a three-dimensional dental point cloud model data classification system based on deep learning;

[0155] A 3D dental point cloud model data classification system based on deep learning, including:

[0156] An acquisition module configured to: acquire a three-dimensional tooth model, and extract a set of tooth cloud models from the three-dimensional tooth model;

[0157] A segmentation module configured to: segment the entire set of tooth point cloud models to obtain several single tooth point cloud models;

[0158] A classification module, which is configured to: for a single tooth point cloud model, extract a single tooth point cloud model feature, a relative position feature and an adjacency similarity feature, and input it into the classifier respectively; the various features of the input will be in the classifier The classification operation is carried out in and the preliminary classification result of a single tooth is output.

[0159] ...

Embodiment 3

[0163] This embodiment also provides an electronic device, including: one or more processors, one or more memories, and one or more computer programs; wherein, the processor is connected to the memory, and the one or more computer programs are programmed Stored in the memory, when the electronic device is running, the processor executes one or more computer programs stored in the memory, so that the electronic device executes the method described in Embodiment 1 above.

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Abstract

The invention discloses a three-dimensional tooth point cloud model data classification method and system based on deep learning, and the method comprises the steps: obtaining a tooth three-dimensional model, and extracting a whole set of tooth point cloud model from the tooth three-dimensional model; segmenting the whole set of tooth point cloud model to obtain a plurality of single tooth point cloud models; for a single tooth point cloud model, extracting a single tooth point cloud model feature, a relative position feature and an adjacent similarity feature, and respectively inputting the features into a classifier; classifying the input multiple features in the classifier, and outputting a preliminary classification result of a single tooth.

Description

technical field [0001] The invention relates to the technical field of point cloud data processing, in particular to a deep learning-based three-dimensional tooth point cloud model data classification method and system. Background technique [0002] The statements in this section merely mention the background technology related to the present invention and do not necessarily constitute the prior art. [0003] "Digital Dentistry" is a concept that has been proposed for many years, that is, to digitize the dental diagnosis and treatment process, with the help of CAD\CAM technology, to reduce the time and energy consumption of dentists in basic diagnosis and treatment steps, and to effectively improve the efficiency of diagnosis and treatment. [0004] In order to carry out dental digitization, the first step is to carry out data acquisition. In current dentistry, a variety of medical imaging technologies have been widely used, such as X-ray film, CT, etc., and these imaging t...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/34G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06V20/64G06V10/267G06V2201/03G06N3/045G06F18/22G06F18/2415G06F18/253
Inventor 周元峰马乾魏广顺马龙
Owner SHANDONG UNIV
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