Tooth filling quality evaluation method and device

A quality evaluation and quality evaluation technology, which is applied in neural learning methods, image enhancement, instruments, etc., can solve the problems of low efficiency and accuracy in dental filling quality evaluation

Active Publication Date: 2020-06-16
恩施京植咿呀雅口腔医院有限公司
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  • Abstract
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Problems solved by technology

[0004] The main purpose of the present invention is to provide a method and device for evaluating the quality of dental fillings,

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  • Tooth filling quality evaluation method and device
  • Tooth filling quality evaluation method and device

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Embodiment Construction

[0080] It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0081] The embodiment of the present invention provides a kind of tooth filling quality evaluation method, with reference to figure 1 , figure 1 It is a schematic flowchart of the first embodiment of a dental filling quality evaluation method of the present invention.

[0082] In the present embodiment, the method for evaluating the quality of dental fillings includes the following steps:

[0083] Step S10: Obtain the picture of the oral cavity to be tested, input the picture of the oral cavity to be tested into the preset target detection convolutional neural network model, and obtain the position rectangle frame and tooth position number corresponding to each tooth.

[0084] It should be understood that the subject of execution of this solution may be a computer with a function of processing pictures of the oral c...

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Abstract

The invention belongs to the field of tooth filling quality evaluation based on an image technology, and discloses a tooth filling quality evaluation method and device. The method comprises the following steps: according to oral cavity picture to be tested, a preset target detection convolutional neural network model, a preset single-tooth segmentation convolutional neural network model and a preset region segmentation convolutional neural network model are adopted to respectively obtain the supplemented tooth position rectangular frame, the adjacent tooth position rectangular frame of the supplemented tooth, the single supplemented tooth picture, the adjacent tooth picture and the supplemented region picture of the surface of the supplemented tooth; and then corresponding tooth filling information evaluation results are respectively obtained according to the tooth information, and tooth filling quality evaluation is carried out on the tooth filling information evaluation results according to tooth filling quality evaluation standards. By means of the above manner, rapid tooth filling quality evaluation is achieved, and an accurate tooth filling quality evaluation result is obtained.

Description

technical field [0001] The invention relates to the field of tooth filling quality evaluation based on image technology, in particular to a tooth filling quality evaluation method and device. Background technique [0002] At present, in the dental filling industry, it is necessary to evaluate the filling effect in order to control the filling quality. In the prior art, the dental filling quality is evaluated by manually reviewing the dental filling images. Dentists need to score the dental condition of each patient before, during and after the operation, so as to judge the dental filling effect. However, with the increasing number of patients and the increasing number of medical images faced by doctors, the problems exposed by manual analysis are also becoming more and more prominent. There are the following disadvantages: (1) The amount of image information data is large and the efficiency is low; (2) Due to visual fatigue, doctors will inevitably make wrong judgments; (3)...

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Application Information

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IPC IPC(8): G06T7/00G06T7/11G06T7/12G06T7/90G06K9/32G06K9/62G06N3/04G06N3/08
CPCG06T7/0012G06T7/11G06T7/12G06T7/90G06N3/08G06T2207/10004G06T2207/30036G06T2207/20081G06T2207/20084G06V10/25G06V10/751G06V2201/03G06N3/045G06F18/214Y02P90/30
Inventor 彭刚晏峰王浩刘北村郑煊
Owner 恩施京植咿呀雅口腔医院有限公司
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