Facial expression monitoring system for predicting patient's sudden movement during radiotherapy using deep learning.
Journal:
Journal of applied clinical medical physics
Published Date:
Jun 9, 2020
Abstract
PURPOSE: Imaging, breath-holding/gating, and fixation devices have been developed to minimize setup errors so that the prescribed dose can be exactly delivered to the target volume in radiotherapy. Despite these efforts, additional patient monitoring devices have been installed in the treatment room to view patients' whole-body movement. We developed a facial expression recognition system using deep learning with a convolutional neural network (CNN) to predict patients' advanced movement, enhancing the stability of the radiation treatment by giving warning signs to radiation therapists.