Multimodal Deep Learning Improves Recurrence Risk Prediction in Pediatric Low-Grade Gliomas

Information Science, Artificial Intelligence, Medicine, Neurology, Medical Imaging, Oncology,
pediatric low-grade gliomas   deep learning   postoperative recurrence prediction   multimodal model   magnetic resonance imaging   risk stratification   survival analysis  

Application of Deep Learning in Postoperative Recurrence Prediction for Pediatric Low-Grade Gliomas Background Pediatric Low-Grade Gliomas (PLGGs) are one of the most common types of brain tumors in children, accounting for 30%-50% of all central nervous system tumors in children. Although the prognosis of PLGGs is relatively favorable, the risk of...