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首页> 外文期刊>Journal of Advanced Computatioanl Intelligence and Intelligent Informatics >Dental Numbering for Periapical Radiograph Based on Multiple Fuzzy Attribute Approach
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Dental Numbering for Periapical Radiograph Based on Multiple Fuzzy Attribute Approach

机译:基于多重模糊属性方法的根尖射线照相牙科编号

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摘要

The dental numbering for periapical radiograph based on multiple fuzzy attribute approach proposed here analyzes each individual tooth based on multiple criteria such as area/perimeter and width/height ratios. The classification and numbering in a special dental image called a periapical radiograph is studied without speculative classification in cases of ambiguous objects, so an accurate, assistive result is obtained due to the capability of handling ambiguous teeth. Experiment results in using periapical dental radiograph from the University of Indonesia indicate a total classification accuracy of 82.51%, an average classification rate per input radiograph of 84.29%, a maxilla-mandible identification accuracy from 78 radiographs of 82.05%, and a numbering accuracy from 15 radiographs of 90.47%. It is planned that the proposed classification and numbering be implemented as a submodule for dental-based personal identification now being developed.
机译:本文提出的基于多重模糊属性方法的根尖射线照相牙线编号方法是根据多个标准(例如面积/周长和宽度/高度比)分析每个单独的牙齿。在不明确物体的情况下,研究了特殊的牙科图像(称为根尖射线照相)中的分类和编号,而无需进行推测性分类,因此由于能够处理不正确的牙齿,因此可以获得准确,辅助的结果。使用印度尼西亚大学的根尖周牙X光片的实验结果表明,总分类准确度为82.51%,每张输入X光片的平均分类率为84.29%,从78张X光片上颌下颌骨的识别准确度为82.05%,从15张X光片,占90.47%。计划将提议的分类和编号实现为现在正在开发的基于牙齿的个人识别的子模块。

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