| Project/Area Number |
15H02706
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| Research Category |
Grant-in-Aid for Scientific Research (B)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Multimedia database
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| Research Institution | Yokohama City University |
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Principal Investigator |
Arisawa Hiroshi 横浜市立大学, 医学研究科, 客員教授 (10092636)
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| Co-Investigator(Kenkyū-buntansha) |
井上 登美夫 横浜市立大学, 医学研究科, 教授 (80134295)
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| Co-Investigator(Renkei-kenkyūsha) |
Nemoto AKINOBU 横浜市立大学, 医学部, 准教授 (20264666)
SATO Takako 相模女子大学, 学芸学部, 准教授 (10401697)
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| Project Period (FY) |
2015-04-01 – 2018-03-31
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| Project Status |
Completed (Fiscal Year 2017)
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| Budget Amount *help |
¥18,200,000 (Direct Cost: ¥14,000,000、Indirect Cost: ¥4,200,000)
Fiscal Year 2017: ¥5,590,000 (Direct Cost: ¥4,300,000、Indirect Cost: ¥1,290,000)
Fiscal Year 2016: ¥6,370,000 (Direct Cost: ¥4,900,000、Indirect Cost: ¥1,470,000)
Fiscal Year 2015: ¥6,240,000 (Direct Cost: ¥4,800,000、Indirect Cost: ¥1,440,000)
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| Keywords | 情報工学 / マルチメディア・データベース / マルチメディア情報処理 / 医療画像診断医療診断支援データベース / 医療画像診断 / 医療診断支援データベース / 情報学 / 計算基盤 |
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| Outline of Final Research Achievements |
This research aims to construct an innovative Computer Aided Diagnosis System (CAD) using PET (Positron Emission Tomography) and CT (Computed Tomography) Images. Key attributes of our CAD are: 1: the CAD turns not a specific organ but whole body into an object of medical analyses, and 2: the CAD can detect “abnormal possible areas (candidates of cancers)” with very high recall rate. Further, we propose a new technology “Quantitative CAD”, which can assign the “risk value” for each abnormal possible area based on characteristics of the region. This scheme will provide a useful tool to the field “Companion Diagnostics, CD)”. Because in CD, the curative effect (by medicine, radiation etc.) must be measured patient by patient strictly. And the above innovative CAD has the ability to quantify the risk (increase/decrease) values of each cancer region with firm method (algorithm in computer).
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