Single-Stage vs. Multi-Stage Machine Learning Algorithms for Prostate Segmentation in Magnetic Resonance ImagesDownload PDF

Jan 25, 2020 (edited Apr 18, 2020)MIDL 2020 Conference Blind SubmissionReaders: Everyone
  • 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.
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