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Objective Evaluation of Multiple Sclerosis Lesion Segmentation using a Data Management and Processin...

Objective Evaluation of Multiple Sclerosis Lesion Segmentation using a Data Management and Processin...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_swepub_primary_oai_DiVA_org_kth_235440

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

We present a study of multiple sclerosis segmentation algorithms conducted at the international MICCAI 2016 challenge. This challenge was operated using a new open-science computing infrastructure. This allowed for the automatic and independent evaluation of a large range of algorithms in a fair and completely automatic manner. This computing infra...

Alternative Titles

Full title

Objective Evaluation of Multiple Sclerosis Lesion Segmentation using a Data Management and Processing Infrastructure

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_swepub_primary_oai_DiVA_org_kth_235440

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_swepub_primary_oai_DiVA_org_kth_235440

Other Identifiers

ISSN

2045-2322

E-ISSN

2045-2322

DOI

10.1038/s41598-018-31911-7