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Quantitative Imaging Network: Difference between revisions

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(Created page with "{{Program |ProgramName=Quantitative Imaging Network |ProgramType=Program |OrgSponsor=National Cancer Institute |CreationLegislation=National Cancer Act of 1971 |Purpose=To improve the quality and consistency of quantitative imaging in oncology, facilitating the use of imaging biomarkers in clinical trials and practice. The QIN aims to validate imaging methods for reproducible, accurate, and biologically relevant cancer assessments. |Website=https://qin.cancer.gov/ |Progr...")
 
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|ProgramType=Program
|ProgramType=Program
|OrgSponsor=National Cancer Institute
|OrgSponsor=National Cancer Institute
|TopOrganization=National Institutes of Health
|CreationLegislation=National Cancer Act of 1971
|CreationLegislation=National Cancer Act of 1971
|Purpose=To improve the quality and consistency of quantitative imaging in oncology, facilitating the use of imaging biomarkers in clinical trials and practice. The QIN aims to validate imaging methods for reproducible, accurate, and biologically relevant cancer assessments.
|Purpose=To improve the quality and consistency of quantitative imaging in oncology, facilitating the use of imaging biomarkers in clinical trials and practice. The QIN aims to validate imaging methods for reproducible, accurate, and biologically relevant cancer assessments.
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|InitialFunding=Funded through NCI grants
|InitialFunding=Funded through NCI grants
|Duration=Ongoing
|Duration=Ongoing
|Historic=false
|Historic=No
}}
}}
'''Quantitative Imaging Network''' (QIN) is an initiative by the [[National Cancer Institute]] (NCI) that focuses on the development, standardization, and validation of quantitative imaging techniques for cancer research. This network works to ensure that imaging data used in clinical research is accurate, reproducible, and can lead to personalized medicine approaches in cancer management.
'''Quantitative Imaging Network''' (QIN) is an initiative by the [[National Cancer Institute]] (NCI) that focuses on the development, standardization, and validation of quantitative imaging techniques for cancer research. This network works to ensure that imaging data used in clinical research is accurate, reproducible, and can lead to personalized medicine approaches in cancer management.