Development of digital mammography diagnostic support system
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- Ishibashi Tadashi
- Principal Investigator
- 東北大学
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- 本間 経康
- Co-Investigator
- 東北大学
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- 森 菜緒子
- Co-Investigator
- 東北大学
About This Project
- Japan Grant Number
- JP16K10266 (JGN)
- Funding Program
- Grants-in-Aid for Scientific Research
- Funding Organization
- Japan Society for the Promotion of Science
Kakenhi Information
- Project/Area Number
- 16K10266
- Research Category
- Grant-in-Aid for Scientific Research (C)
- Allocation Type
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- Multi-year Fund
- Review Section / Research Field
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- Biological Sciences > Medicine, Dentistry, and Pharmacy > Clinical internal medicine > Radiation science
- Research Institution
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- Tohoku University
- Project Period (FY)
- 2016-04-01 〜 2019-03-31
- Project Status
- Completed
- Budget Amount*help
- 4,680,000 Yen (Direct Cost: 3,600,000 Yen Indirect Cost: 1,080,000 Yen)
Research Abstract
Mammographic breast cancer screening is a cost-effective way to improve survival. However, diagnostic accuracy greatly varies depending on experience of the doctor. CAD using AI technology is attracting attention as a diagnostic support method for doctors. We constructed a database of over 20,000 normal breast and cancer cases and succeeded in developing CAD using deep learning. We made a diagnostic workstation equipped with this software, and confirmed that the detection rate of calcified lesions and mass lesions was superior to existing CAD. At the same time, we developed a report management support software that can accurately measure breast tissue and calculate breast cancer risk factors from past medical history and family history, with a view to future personalized medicine.
Keywords
Details 詳細情報について
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- CRID
- 1040000781916038656
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- Text Lang
- ja
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- Data Source
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- KAKEN
