- Keywords: Machine Learning, Prostate Segmentation, Magnetic Resonance Imaging
- TL;DR: Comparing multi-stage vs. single-stage machine learning algorithms for prostate segmentation in MRI
- Track: short paper
- Paper Type: methodological development
- Abstract: Fusion of magnetic resonance images (MRI) with ultrasound has led to major improvements in precision diagnostics for prostate cancer. A key step in the fusion process is segmentation of the prostate in MRI and machine learning (ML) has proven to be a valuable tool for segmentation. In this paper, we compare two ML workflows for prostate segmentation; a single-stage and multi-stage ML algorithm to address the challenges of prostate segmentation.