Automated Segmentation and Radiomics Integration for Non-Invasive Genetic and Prognostic Prediction in Pediatric High-Grade Gliomas

We want to train an AI tool to make clinically useful predictions about pediatric brain tumors. This would assist treating physicians by providing information that can guide therapy. We need the CBTN data to have enough data to power the prediction models we aim to create.