Development of accurate computer-aided diagnosis of pulmonary nodules in x-ray CT images by using multi-scale morphological recognition
Project/Area Number |
19500413
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Research Category |
Grant-in-Aid for Scientific Research (C)
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Allocation Type | Single-year Grants |
Section | 一般 |
Research Field |
Medical systems
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Research Institution | Tohoku University |
Principal Investigator |
HOMMA Noriyasu Tohoku University, サイバーサイエンスセンター, 准教授 (30282023)
|
Co-Investigator(Kenkyū-buntansha) |
石橋 忠司 東北大学, 医学部, 教授 (40151401)
|
Co-Investigator(Renkei-kenkyūsha) |
ISHIBASHI Tadashi 東北大学, 大学院・医学系研究科, 教授 (40151401)
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Research Collaborator |
GUPTA Madan Department of Engineering, University of Saskatchewan, Professor Emeritus
|
Project Period (FY) |
2007 – 2009
|
Project Status |
Completed (Fiscal Year 2009)
|
Budget Amount *help |
¥3,770,000 (Direct Cost: ¥2,900,000、Indirect Cost: ¥870,000)
Fiscal Year 2009: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2008: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2007: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
|
Keywords | 検査・診断システム / 知的画像診断 / 診断支援システム |
Research Abstract |
In this research project, we developed a new intelligent method for computer aided detection of pulmonary nodules in x-ray CT images. An essential core of the method is to use some pieces of radiologist's professional knowledge to achieve clinically demanded high detection accuracy. The results demonstrated that the method can improve 30% of true positive rate for hardly-detectable nodules and reduce 40% of false positive rate compared to previous ones.
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Report
(4 results)
Research Products
(36 results)
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[Journal Article]2009
Author(s)
Noriyasu Homma
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Journal Title
Pattern Recognition(In-Tech)
Pages: 319-336
Related Report
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[Journal Article]2009
Author(s)
Ivo Bukovsky
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Journal Title
Discoveries and Breakthroughs in Cognitive Informatics and Natural Intelligence(IGI Publishing)
Pages: 508-523
Related Report
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