Automated Segmentation of Prostatic Gold Fiducial Markers for MR-Only Radiotherapy Planning Using Multi-Modal Consensus Deep Learning
Ashley Wilton Stewart, Jonathan Goodwin, Matthew Richardson, Simon Robinson, Kieran O’Brien, Jin Jin, Markus Barth, Steffen Bollmann
The paper develops a multi-model consensus deep learning approach for automated gold fiducial marker segmentation in prostate MRI, achieving high sensitivity and precision.
bioRxiv · Jun 23, 2026 · PreprintBioinformatics