Development of on-line learning algorithm of organ recognition for on-line CAD
| Project/Area Number |
20700404
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Single-year Grants |
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| Research Field |
Medical systems
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| Research Institution | Aichi Institute of Technology |
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Principal Investigator |
KITASAKA Takayuki Aichi Institute of Technology, 情報科学部, 准教授 (00362294)
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| Project Period (FY) |
2008 – 2010
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| Project Status |
Completed (Fiscal Year 2010)
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| Budget Amount *help |
¥4,290,000 (Direct Cost: ¥3,300,000、Indirect Cost: ¥990,000)
Fiscal Year 2010: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Fiscal Year 2009: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Fiscal Year 2008: ¥2,730,000 (Direct Cost: ¥2,100,000、Indirect Cost: ¥630,000)
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| Keywords | 画像診断システム / アルゴリズム / 機械学習 / 知能機械 / 診断支援 / オンライン学習 |
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| Research Abstract |
We studied about a on-line learning algorithm for automatic organ recognition and disease detection from medical images. Our main targets were the bronchus and blood vessels. We research their feature description and their combinations to make recognition accuracy higher. In our experiments, the recognition accuracies were approx. 70% for the bronchus and 80% for the blood vessels. Also, recognition of anatomical structure of the bronchus and blood vessels could achieve approx. 90% accuracy.
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Report
(4 results)
Research Products
(53 results)
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[Journal Article] 複数モデルの動的選択に基づく気管支枝名自動対応付け手法2008
Author(s)
江間慎弥, 北坂孝幸, 森健策, 目加田慶人, 井手一郎, 村瀬洋, 末永康仁, 高畠博嗣, 森雅樹, 名取博
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Journal Title
電子情報通信学会論文誌D Vol.J91-D, No.7
Pages: 1851-1861
NAID
Related Report
Peer Reviewed
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