書誌事項
- タイトル別名
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- Improvements to an Automated Method for Detecting Carotid Artery Calcifications by Adopting a Positional Feature and Feature Selection
- イチ トクチョウリョウ ノ ドウニュウ ト トクチョウリョウ センタク ニ ヨル ケイドウミャク セッカイカ ノ ジドウ ケンシュツホウ ノ カイリョウ
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説明
The purpose of this study was to improve an automated scheme for detecting carotid artery calcification (CAC) in dental panoramic radiographs (DPRs). Using 100 DPRs, the sensitivity of CAC detection employing our previous method was 90.0% with 5.0 false positives (FPs) per image. This study describes two enhancements. One is the adoption of a new feature for the position of CACs in addition to previous features. The other is feature selection employing the support vector machine using all combinations. Five of 12 features were selected. Using our proposed method, the average sensitivity for the same database proved to be 90.0%, with only 2.5 FPs per image. These results indicate the potential effectiveness of the new positional feature and feature selection.
収録刊行物
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- 日本放射線技術学会雑誌
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日本放射線技術学会雑誌 70 (6), 526-533, 2014
公益社団法人 日本放射線技術学会
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詳細情報 詳細情報について
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- CRID
- 1390282681338473984
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- NII論文ID
- 130004486929
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- NII書誌ID
- AN00197784
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- COI
- 1:STN:280:DC%2BC2cfkvFyjuw%3D%3D
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- ISSN
- 18814883
- 03694305
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- NDL書誌ID
- 025615477
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- PubMed
- 24953317
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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
- NDL
- Crossref
- PubMed
- CiNii Articles
- KAKEN
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- 抄録ライセンスフラグ
- 使用不可