Conditional Generative Adversarial Network for Dose Distribution Prediction In Hepatocellular Carcinoma Proton Beam Therapy: Improved Accuracy In Steep Dose Gradient Regions
Accurate dose prediction with deep learning technique in proton beam therapy (PBT) remains challenging due to steep dose gradients inherent to particle beams. Conventional models with pixel-wise loss functions yield over-smoothed predictions, and fixed dose g...
Poster Program · Therapy Physics