Objective Evaluation Method for Optical Colonoscopy Images using Image Recognition Techniques
| Project/Area Number |
24700186
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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 |
Perception information processing/Intelligent robotics
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| Research Institution | National Institute of Advanced Industrial Science and Technology |
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Principal Investigator |
NOSATO Hirokazu 独立行政法人産業技術総合研究所, 情報技術研究部門, 主任研究員 (40435764)
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| Research Collaborator |
SUZUKI Yasuo
AOKI Hiroshi
TAKEUCHI Ken
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| Project Period (FY) |
2012-04-01 – 2015-03-31
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| Project Status |
Completed (Fiscal Year 2014)
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| Budget Amount *help |
¥4,420,000 (Direct Cost: ¥3,400,000、Indirect Cost: ¥1,020,000)
Fiscal Year 2014: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2013: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2012: ¥2,210,000 (Direct Cost: ¥1,700,000、Indirect Cost: ¥510,000)
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| Keywords | 医用画像認識 / 大腸内視鏡 / 特徴抽出 / 画像処理 / 診断支援 / 画像認識技術 / 最適化 / 医工連携 / 画像認識 |
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| Outline of Final Research Achievements |
This research aimed to establish a new objective evaluation method for Ulcerative Colitis (UC) with optical colonoscopy images using image recognition techniques. In the proposed method, the higher-order local auto-correlation method and the multivariate data analysis method were adopted to distinguish between normal and abnormal colonic mucosa. In addition, a color conversion techniques was also adopted to enhance the ability to efficiently observe the colon condition. Using the objective evaluation method, classification method according to UC severity and content-based image retrieval method for colonoscopy images were developed in this research.
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Report
(4 results)
Research Products
(14 results)
