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 — Alexandra de Sitter (2020) | RDL Network
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
Article 2020 en
Authors
AS
Alexandra de Sitter
TV
Tom Verhoeven
JB
Jessica Burggraaff
Abstract
1 min read
Automated methods have impaired performance in patients. Performance generally deteriorated with higher lesion volume and lower NBV and ROIV, suggesting that these may contribute to the impaired performance.
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