Development and clinical application of a supportive database system for the diagnoses of jaw deformities applied machine learning theory
| Project/Area Number |
26463091
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Research Field |
Orthodontics/Pediatric dentistry
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| Research Institution | Niigata University |
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Principal Investigator |
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| Co-Investigator(Kenkyū-buntansha) |
齊藤 力 東京歯科大学, 歯学部, 客員教授 (80103357)
齋藤 功 新潟大学, 医歯学系, 教授 (90205633)
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| Research Collaborator |
YAMAZOE Kiyofumi 山添歯科医院, 山添矯正歯科, 歯科医師
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| Project Period (FY) |
2014-04-01 – 2018-03-31
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| Project Status |
Completed (Fiscal Year 2017)
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| Budget Amount *help |
¥4,940,000 (Direct Cost: ¥3,800,000、Indirect Cost: ¥1,140,000)
Fiscal Year 2016: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2015: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2014: ¥2,210,000 (Direct Cost: ¥1,700,000、Indirect Cost: ¥510,000)
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| Keywords | 顎変形症 / 機械学習 / 歯列模型分析 / データベースシステム / 診断 / 診断支援システム / 三次元形態計測 / 臨床 / 三次元形態解析 / 歯列模型解析 |
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| Outline of Final Research Achievements |
The purpose of this study was to develop a new diagnostic database system of jaw deformities. Large number of feature parameters extracted from digital dental models, such as Fourier descriptors and relative position of upper and lower models, were registered with this system. Algorithms applied machine learning theory were implemented to search several similar model data. This new system developed in this study attained retrieval of similar cases only using model data. Further tuning the algorithms of calculating the characteristic similarities and improving the discriminant functions will enable the database system to provide clinical efficiency for accurate diagnoses and for solutions of clinical problems.
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Report
(5 results)
Research Products
(3 results)
