articleScientific DataSep 5, 2017GOLD OA

Advancing The Cancer Genome Atlas glioma MRI collections with expert segmentation labels and radiomic features

University of Pennsylvania · Leidos (United States) · +2 more institutions

PubMed
Indexed incrossrefdoajpubmed

Abstract

Gliomas belong to a group of central nervous system tumors, and consist of various sub-regions. Gold standard labeling of these sub-regions in radiographic imaging is essential for both clinical and computational studies, including radiomic and radiogenomic analyses. Towards this end, we release segmentation labels and radiomic features for all pre-operative multimodal magnetic resonance imaging (MRI) (n=243) of the multi-institutional glioma collections of The Cancer Genome Atlas (TCGA), publicly available in The Cancer Imaging Archive (TCIA). Pre-operative scans were identified in both glioblastoma (TCGA-GBM, n=135) and low-grade-glioma (TCGA-LGG, n=108) collections via radiological assessment. The glioma…

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2,924
total citations
FWCI
142.96
Percentile
100%
References
99
Citations per year

Authors

9

Topics & keywords

Keywords
  • Glioma
  • Segmentation
  • Neuroradiologist
  • Glioblastoma
  • Magnetic resonance imaging
  • Computer science
  • Cancer imaging
  • Medical physics
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