PICTURE project: expert manual glioma segmentations on MRI

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
PID https://nbn-resolving.org/urn:nbn:nl:ui:13-gr-zpnb
Metadata Access https://easy.dans.knaw.nl/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=oai:easy.dans.knaw.nl:easy-dataset:133907
Provenance
Creator Witt Hamer, PC de
Publisher Data Archiving and Networked Services (DANS)
Publication Year 2019
Rights info:eu-repo/semantics/restrictedAccess; DANS License; https://dans.knaw.nl/en/about/organisation-and-policy/legal-information/DANSLicence.pdf
OpenAccess false
Representation
Language English
Resource Type Dataset
Format text/plain; Brain Imaging Data Structure of NIfTI file formats; json
Discipline Other