1. A feasibility study on the development and use of a deep learning model to automate real-time monitoring of tumor position and assessment of interfraction fiducial marker migration in prostate radiotherapy patients**Deep Learning Fiducial Marker Localisation. (1st May 2022) Authors: Motley, Ryan; Ramachandran, Prabhakar; Fielding, Andrew Journal: Biomedical physics & engineering express Issue: Volume 8:Number 3(2022) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗