most citedAssociation of genomic subtypes of lower-grade gliomas with shape features automatically extracted by a deep learning algorithm

340 citations · 340 across the 1 of their papers we have counts for

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1 paper

eess.IV2019★ 340 cited

Association of genomic subtypes of lower-grade gliomas with shape features automatically extracted by a deep learning algorithm

Mateusz Buda, Ashirbani Saha, Maciej A Mazurowski

Recent analysis identified distinct genomic subtypes of lower-grade glioma tumors which are associated with shape features. In this study, we propose a fully automatic way to quant…