3D Convolutional Neural Network for Radiation Toxicity Prediction

This project applies a 3D convolutional neural network to predict grade ≥ 2 xerostomia six months after head‑and‑neck radiotherapy. By integrating CT, dose, and organ‑at‑risk data into a unified image, the model demonstrates how neural networks can advance predictive modeling and personalized care in radiation oncology.