A Simulation Study of the Safety and Efficiency of Respiratory-Gated Radiotherapy Using a Hybrid Deep-Learning Network Adaptable to Breathing Irregularity to Predict Internal Motion
To evaluate the safety and efficiency of respiratory-gated radiotherapy by using a long-short-term memory (LSTM) model and its hybridized version with time-domain cross-correlation (TCC) to adapt to breathing motion irregularities without remodeling.
Poster Program · Therapy Physics