PICTURE project: expert manual glioma segmentations on MRI

DOI

The MRIs of 20 patients with glioblastoma and 20 patients with low-grade glioma acquired pre- and postoperatively and at progression were collected from one institution, annotated (T1-weighted, T1-weighted after contrast, T2-weighted, FLAIR-weighted), manually segmented by eight human raters, manual Chollet landmark labelled, and indicated on MNI 09a standard brain space. This storage contains the native scans and segmented and labelled binary nifti files that locate tumor and landmarks.

Identifier
DOI https://doi.org/10.17026/dans-zg9-nhrj
Metadata Access https://lifesciences.datastations.nl/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.17026/dans-zg9-nhrj
Provenance
Creator PC de Witt Hamer
Publisher DANS Data Station Life Sciences
Contributor P.C. De Witt Hamer
Publication Year 2019
Rights DANS Licence; info:eu-repo/semantics/restrictedAccess; https://doi.org/10.17026/fp39-0x58
OpenAccess false
Contact P.C. De Witt Hamer (Amsterdam UMC)
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Version 1.0
Discipline Life Sciences; Medicine