Deep Learning-Based Prediction of Monte Carlo Dose Distributions from Pencil Beam Algorithms for Carbon Ion Radiotherapy
This study aims to develop a deep learning (DL) model capable of predicting Monte Carlo (MC)-level carbon-ion dose distributions from Pencil Beam Algorithm (PBA) calculations. The objective is to achieve the high accuracy of MC simulations while maintaining t...
Poster Program · Therapy Physics