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Scientific Data· 2017Q1

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

Spyridon Bakas, Hamed Akbari, Aristeidis Sotiras, Michel Bilello et al.

Short summary

Researchers released expert-revised segmentation labels and radiomic features for 243 pre-operative multimodal MRI scans of The Cancer Genome Atlas (TCGA) glioma collections, enabling reproducible quantitative studies and computer-aided segmentation method evaluation.

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Field: Radiology, Nuclear Medicine and Imaging

Radiology, Nuclear Medicine and ImagingMedicine