HIGHLIGHTS
- who: Anousheh Sayah from the (UNIVERSITY) have published the article: Enhancing the REMBRANDT MRI collection with expert segmentation labels and quantitative radiomic features, in the Journal: (JOURNAL)
- how: The gene_expression and copy number data from this same dataset was made public in 2018 through the publication Gusev et_al16 and the data made available the NCBI Gene Expression Omnibus (GEO) data repository GSE10847617.
SUMMARY
The runner-up for this challenge was the BraTumIA tool which uses a machine_learning algorithm23. The gene_expression and copy number data from this same dataset was made public . . .
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