歯科パノラマ画像からのディープラーニングと 最適化法を用いた歯列認識
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- 元木 康太
- 兵庫県立大学
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- MAHDI Fahad Parvez
- 兵庫県立大学
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- 八木 直美
- 姫路獨協大学
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- 新居 学
- 兵庫県立大学
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- 小橋 昌司
- 兵庫県立大学
書誌事項
- タイトル別名
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- Recognizing Tooth Numbers in Dental Panoramic Images Using Deep Learning and Optimization
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抄録
<p>Enormous number of panoramic X-ray images are checked by dentists every day. It needs much time for dentists and may cause interpretation errors. There are some studies on teeth detection with deep learning. However, object detection using deep learning provides multiple candidates, and it is not east to select one from the candidates. This paper proposes an automatic teeth recognition method, which refines the candidates by an optimization method with prior knowledge model. At first the proposed method detects teeth candidates by faster R-CNN, which is one of the deep learning-based techniques. Next, it determines the best candidate by optimizing an objective function. The objective function evaluates the relative position of the teeth based on prior knowledge model. With 1000 images, the accuracy of the proposed method was 0.94. It is higher than 0.92 that is without optimization. The proposed method performs the better recognition accuracy in comparison with the method without optimization step. </p>
収録刊行物
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- バイオメディカル・ファジィ・システム学会大会講演論文集
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バイオメディカル・ファジィ・システム学会大会講演論文集 33 (0), 30-35, 2020-10-31
バイオメディカル・ファジィ・システム学会
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詳細情報 詳細情報について
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- CRID
- 1391412881287839744
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- NII論文ID
- 130007980036
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- ISSN
- 24242586
- 13451510
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- 本文言語コード
- ja
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- データソース種別
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- JaLC
- CiNii Articles
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- 抄録ライセンスフラグ
- 使用不可