bootstrap cross-validation Search Results


bootstrap cross-validation  (Johns Hopkins HealthCare)
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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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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