Performance improvement of computer-assisted detection/diagnosis system by considering diversity of image data and temporal change of radiologists' reading characteristics
| Project/Area Number |
25750182
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Multi-year Fund |
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| Research Field |
Medical systems
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| Research Institution | The University of Tokyo |
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Principal Investigator |
NOMURA Yukihiro 東京大学, 医学部附属病院, 特任研究員 (60436491)
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| Project Period (FY) |
2013-04-01 – 2015-03-31
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| Project Status |
Completed (Fiscal Year 2014)
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| Budget Amount *help |
¥4,160,000 (Direct Cost: ¥3,200,000、Indirect Cost: ¥960,000)
Fiscal Year 2014: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2013: ¥2,730,000 (Direct Cost: ¥2,100,000、Indirect Cost: ¥630,000)
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| Keywords | 医用画像 / 診断支援システム / 機械学習 / 遠隔読影環境 / 診断傾向 / 脳動脈瘤 / 遠隔読影 / 多施設連携 |
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| Outline of Final Research Achievements |
In this study, a performance improvement of computer-assisted detection/diagnosis (CAD) software by considering diversity of image data and temporal change of reading characteristics was investigated. We investigated the performance improvement of CAD software for each institution based on retraining through a simulation-based study. According to the results, the performance of CAD software for each institution was improved by retraining. We also investigated a temporal variation of detecting characteristics for cerebral aneurysms in a routine work.
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Report
(3 results)
Research Products
(11 results)
