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

9 Jun 2019Mateusz BudaAshirbani SahaMaciej 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 quantify tumor imaging characteristics using deep learning-based segmentation and test whether these characteristics are predictive of tumor genomic subtypes... (read more)

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Evaluation results from the paper


Task Dataset Model Metric name Metric value Global rank Compare
Brain Segmentation Brain MRI segmentation U-Net Dice Score 0.82 # 1