歯科パノラマX線写真における頸動脈石灰化の自動検出
書誌事項
- タイトル別名
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- Automated detection for carotid artery calcifications in dental panoramic radiographs
- -手動ROIを用いた検出性能の検証-
- Verification of detection performance using manual ROIs
この論文をさがす
説明
It is desired to develop a computer‐aided detection system that automatically detects carotid artery calcifications(CACs)on dental panoramic radiographs(DPRs). In our previous study, an automated method for the detection of CACs was proposed, in which the sensitivity of CAC detection was 90 % with 4.6 false positives(FPs)per image. We noticed that the regions of interest(ROIs)determined automatically as possible carotid artery regions by our previous scheme were relatively larger than those estimated by a dental radiologist. In this paper, we verified the necessity of an introduction of appropriate size and location of ROIs which are similar with those by the dental radiologist. We found that the sensitivity was maintained along with those appropriate ROIs, but the number of FPs per image was reduced to 0.9 using 100 DPRs. This result indicates that it is possible to reduce the number of FPs by accurately tailoring ROIs to individual cases.
収録刊行物
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- 医用画像情報学会雑誌
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医用画像情報学会雑誌 32 (3), 68-70, 2015
医用画像情報学会
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詳細情報 詳細情報について
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- CRID
- 1390282679628959616
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- NII論文ID
- 130005099503
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- ISSN
- 18804977
- 09101543
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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
- KAKEN
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- 抄録ライセンスフラグ
- 使用不可