LUMIERE dataset - Pyradiomics features based on DeepBraTumIA segmentations

LUMIERE dataset - Pyradiomics features based on DeepBraTumIA segmentations

This CSV contains the radiomic features extracted for all study dates where all four MRI sequences and automated segmentation from DeepBraTumIA are available. The features were extracted from the images resampled to atlas space. Please note that features could not be extracted for studies where a gi...

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Bibliographische Detailangaben
Hauptverfasser: Suter, Yannick, Knecht, Urspeter, Valenzuela, Waldo, Notter, Michelle, Hewer, Ekkehard, Schucht, Philippe, Wiest, Roland, Reyes, Mauricio
Format: Dataset
Sprache:eng
Schlagworte:
Artificial Intelligence and Image Processing
FOS: Clinical medicine
FOS: Computer and information sciences
Radiology and Organ Imaging
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Beschreibung
Zusammenfassung:This CSV contains the radiomic features extracted for all study dates where all four MRI sequences and automated segmentation from DeepBraTumIA are available. The features were extracted from the images resampled to atlas space. Please note that features could not be extracted for studies where a given segmentation label was not found (or too small, see the minimum ROI size in the settings column). See our GitHub repository for a script to customize the extraction.
DOI:10.6084/m9.figshare.21187033