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Title:           Reduced accuracy of MRI deep grey matter segmentation in multiple sclerosis: an evaluation of four automated methods against manual reference segmentations in a multi-center cohort
Subject:         Journal of Neurology, https://doi.org/10.1007/s00415-020-10023-1
Keywords:        Multiple sclerosis,Deep grey matter,Atrophy,Automated segmentation methods
Author:          Alexandra de Sitter
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     Item: 
      Title: Reduced accuracy of MRI deep grey matter segmentation in multiple sclerosis: an evaluation of four automated methods against manual reference segmentations in a multi-center cohort
      Children: 
       Item: 
        Title: Abstract
        Children: 
         Item: 
          Title: Background 
         Item: 
          Title: Methods 
         Item: 
          Title: Results 
         Item: 
          Title: Conclusions 
       Item: 
        Title: Introduction
       Item: 
        Title: Methods
        Children: 
         Item: 
          Title: Subjects
         Item: 
          Title: Acquisition
         Item: 
          Title: Manual segmentation of DGM structures
         Item: 
          Title: Lesion segmentation
         Item: 
          Title: Lesion filling
         Item: 
          Title: Automatic DGM segmentation method
         Item: 
          Title: Brain volume
         Item: 
          Title: Relation with MS pathology
         Item: 
          Title: Statistical analyses
       Item: 
        Title: Results
        Children: 
         Item: 
          Title: Manual segmentation
         Item: 
          Title: Performance of automated methods
          Children: 
           Item: 
            Title: Volumetric agreement
         Item: 
          Title: Spatial agreement
         Item: 
          Title: Relation with pathology
       Item: 
        Title: Discussion
       Item: 
        Title: Acknowledgements 
       Item: 
        Title: References
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                  <pdfaSchema:schema>Prism Schema</pdfaSchema:schema>
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                           <pdfaProperty:category>external</pdfaProperty:category>
                           <pdfaProperty:description>This element provides the url for an article or unit of content. The attribute platform is optionally allowed for situations in which multiple URLs must be specified. PRISM recommends that a subset of the PCV platform values, namely “mobile” and “web”, be used in conjunction with this element. NOTE: PRISM recommends against the use of the #other value allowed in the PRISM Platform controlled vocabulary. In lieu of using #other please reach out to the PRISM group at prism-wg@yahoogroups.com to request addition of your term to the Platform Controlled Vocabulary.</pdfaProperty:description>
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                           <pdfaProperty:description>The Digital Object Identifier for the article. The DOI may also be used as the dc:identifier. If used as a dc:identifier, the URI form should be captured, and the bare identifier should also be captured using prism:doi. If an alternate unique identifier is used as the required dc:identifier, then the DOI should be specified as a bare identifier within prism:doi only. If the URL associated with a DOI is to be specified, then prism:url may be used in conjunction with prism:doi in order to provide the service endpoint (i.e. the URL). </pdfaProperty:description>
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                           <pdfaProperty:description>ISSN for an electronic version of the issue in which the resource occurs. Permits publishers to include a second ISSN, identifying an electronic version of the issue in which the resource occurs (therefore e(lectronic)Issn. If used, prism:eIssn MUST contain the ISSN of the electronic version.</pdfaProperty:description>
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                           <pdfaProperty:name>Trapped</pdfaProperty:name>
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   Type: CRC32
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