Review



bootstrap cross-validation  (Johns Hopkins HealthCare)

 
  • Logo
  • About
  • News
  • Press Release
  • Team
  • Advisors
  • Partners
  • Contact
  • Bioz Stars
  • Bioz vStars
    • 90
      Buy from Supplier

    Structured Review

    Johns Hopkins HealthCare bootstrap cross-validation
    Sørensen-Dice coefficient (DSC) and partial AUC (pAUC) values for the MIMoSA models in replication of <t> bootstrap cross-validation </t> under exclusion of the Proton Density-weighted (PD) sequence, the T2-weighted (T2) sequence, both PD and T2, and reducing the training set sample size to 20 subjects.
    Bootstrap Cross Validation, supplied by Johns Hopkins HealthCare, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/bootstrap+cross-validation/pmc06030441-40-12-7?v=Johns+Hopkins+HealthCare
    Average 90 stars, based on 1 article reviews
    bootstrap cross-validation - by Bioz Stars, 2026-07
    90/100 stars

    Images

    1) Product Images from "MIMoSA: An Automated Method for Inter-Modal Segmentation Analysis of Multiple Sclerosis Brain Lesions"

    Article Title: MIMoSA: An Automated Method for Inter-Modal Segmentation Analysis of Multiple Sclerosis Brain Lesions

    Journal: Journal of neuroimaging : official journal of the American Society of Neuroimaging

    doi: 10.1111/jon.12506

    Sørensen-Dice coefficient (DSC) and partial AUC (pAUC) values for the MIMoSA models in replication of bootstrap cross-validation under exclusion of the Proton Density-weighted (PD) sequence, the T2-weighted (T2) sequence, both PD and T2, and reducing the training set sample size to 20 subjects.
    Figure Legend Snippet: Sørensen-Dice coefficient (DSC) and partial AUC (pAUC) values for the MIMoSA models in replication of bootstrap cross-validation under exclusion of the Proton Density-weighted (PD) sequence, the T2-weighted (T2) sequence, both PD and T2, and reducing the training set sample size to 20 subjects.

    Techniques Used: Sequencing



    Similar Products

    script for cross-validation and bootstrap analysis  (MathWorks Inc)
    90
    MathWorks Inc script for cross-validation and bootstrap analysis
    Script For Cross Validation And Bootstrap Analysis, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/bootstrap+cross-validation/pm37610515-95-4-1?v=MathWorks+Inc
    Average 90 stars, based on 1 article reviews
    script for cross-validation and bootstrap analysis - by Bioz Stars, 2026-07
    90/100 stars
    		  Buy from Supplier
    bootstrap cross-validation  (Johns Hopkins HealthCare)
    90
    Johns Hopkins HealthCare bootstrap cross-validation
    Sørensen-Dice coefficient (DSC) and partial AUC (pAUC) values for the MIMoSA models in replication of <t> bootstrap cross-validation </t> under exclusion of the Proton Density-weighted (PD) sequence, the T2-weighted (T2) sequence, both PD and T2, and reducing the training set sample size to 20 subjects.
    Bootstrap Cross Validation, supplied by Johns Hopkins HealthCare, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/bootstrap+cross-validation/pmc06030441-40-12-7?v=Johns+Hopkins+HealthCare
    Average 90 stars, based on 1 article reviews
    bootstrap cross-validation - by Bioz Stars, 2026-07
    90/100 stars
    		  Buy from Supplier
    bootstrap-based cross-validation method  (National Research Council Canada)
    90
    National Research Council Canada bootstrap-based cross-validation method
    Sørensen-Dice coefficient (DSC) and partial AUC (pAUC) values for the MIMoSA models in replication of <t> bootstrap cross-validation </t> under exclusion of the Proton Density-weighted (PD) sequence, the T2-weighted (T2) sequence, both PD and T2, and reducing the training set sample size to 20 subjects.
    Bootstrap Based Cross Validation Method, supplied by National Research Council Canada, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/bootstrap+cross-validation/pm16165326-60-8-14?v=National+Research+Council+Canada
    Average 90 stars, based on 1 article reviews
    bootstrap-based cross-validation method - by Bioz Stars, 2026-07
    90/100 stars
    		  Buy from Supplier

    Image Search Results


    Sørensen-Dice coefficient (DSC) and partial AUC (pAUC) values for the MIMoSA models in replication of bootstrap cross-validation under exclusion of the Proton Density-weighted (PD) sequence, the T2-weighted (T2) sequence, both PD and T2, and reducing the training set sample size to 20 subjects.

    Journal: Journal of neuroimaging : official journal of the American Society of Neuroimaging

    Article Title: MIMoSA: An Automated Method for Inter-Modal Segmentation Analysis of Multiple Sclerosis Brain Lesions

    doi: 10.1111/jon.12506

    Figure Lengend Snippet: Sørensen-Dice coefficient (DSC) and partial AUC (pAUC) values for the MIMoSA models in replication of bootstrap cross-validation under exclusion of the Proton Density-weighted (PD) sequence, the T2-weighted (T2) sequence, both PD and T2, and reducing the training set sample size to 20 subjects.

    Article Snippet: The first included 98 subjects imaged at Johns Hopkins Hospital in which bootstrap cross-validation was used to compare the performance of MIMoSA against OASIS and LesionTOADS, two popular automatic segmentation approaches.

    Techniques: Sequencing