3D U-Net Segmentation Network for Measurement and Characterization of Pediatric Low-Grade Gliomas

While our group has ongoing work with pediatric low-grade gliomas at our institution, the CBTN dataset of low-grade gliomas is unique in that it combined imaging, genetic, and clinical information into one organized dataset, with a large group of patients. Given the requirements of artificial intelligence algorithms for large datasets, the CBTN forms an optimal dataset for building accurate and useful algorithms that have the ability to affect clinical care.