bootstrap validation function validate Search Results


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
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bootstrap-based cross-validation method  (National Research Council Canada)
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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/result/bootstrap-based cross-validation method/product/National Research Council Canada
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bootstrap-based cross-validation method - by Bioz Stars, 2026-03
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bootstrap validation function validate  (TIBCO)
90
TIBCO bootstrap validation function validate
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 Validation Function Validate, supplied by TIBCO, 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/result/bootstrap validation function validate/product/TIBCO
Average 90 stars, based on 1 article reviews
bootstrap validation function validate - by Bioz Stars, 2026-03
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bootstrap validation of predictive models  (SAS institute)
90
SAS institute bootstrap validation of predictive models
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 Validation Of Predictive Models, supplied by SAS institute, 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/result/bootstrap validation of predictive models/product/SAS institute
Average 90 stars, based on 1 article reviews
bootstrap validation of predictive models - by Bioz Stars, 2026-03
90/100 stars
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macro for our bootstrap validation  (SAS institute)
90
SAS institute macro for our bootstrap 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.
Macro For Our Bootstrap Validation, supplied by SAS institute, 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/result/macro for our bootstrap validation/product/SAS institute
Average 90 stars, based on 1 article reviews
macro for our bootstrap validation - by Bioz Stars, 2026-03
90/100 stars
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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