RSNA-MICCAI Brain Tumor Radiogenomic Classification Challenge

doi:doi:10.57702/2amamzeh

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RSNA-MICCAI Brain Tumor Radiogenomic Classification Challenge

The RSNA-MICCAI brain tumor radiogenomic classification challenge dataset is a dataset for predicting MGMT biomarker status in glioblastoma using mpMRI scans.

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The json representation of the dataset with its distributions based on DCAT.
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Cite this as

Amr Mohamed, Mahmoud Rabea, Aya Sameh, Ehab Kamal (2024). Dataset: RSNA-MICCAI Brain Tumor Radiogenomic Classification Challenge. https://doi.org/10.57702/2amamzeh

DOI retrieved: December 2, 2024

Additional Info

Field	Value
Created	December 2, 2024
Last update	December 2, 2024
Author	Amr Mohamed
More Authors	Mahmoud Rabea Aya Sameh Ehab Kamal
Homepage	https://www.kaggle.com/c/rsna-miccai-brain-tumor-radiogenomic-classification/