Classification of Pediatric Brain Tumor

This project aims to develop an improved system for classifying pediatric brain tumors using computational and data-driven approaches. Accurate classification of brain tumors in children is essential for guiding treatment decisions and improving survival outcomes. By analyzing medical data and imaging information, this study seeks to identify distinguishing patterns among tumor types. Access to CBTN’s comprehensive datasets will help ensure that the models are trained on real, diverse, and clinically relevant data, ultimately contributing to better diagnostic support tools for pediatric neuro-oncology.