Assessing the Reliability of a Semiautomated Segmentation Algorithm for Quantifying Erosions in the

Michael A Tomizza1, Matthew A Jessome1, Joshua Barbosa1

  • 1From the Department of Medical Sciences, Department of Medicine, and Faculty of Health Sciences, McMaster University; Department of Diagnostic Imaging, St. Joseph's Healthcare Hamilton, Hamilton, Ontario, Canada.M.A. Tomizza, BSc, Department of Medical Sciences, McMaster University; M.A. Jessome, BHSc; J. Barbosa, BHSc, Faculty of Health Sciences, McMaster University; K.A. Beattie, PhD; W.G. Bensen, MD; R.S. Bobba, MD; A.A. Cividino, MD, Department of Medicine, McMaster University, and St. Joseph's Healthcare Hamilton; P.D. Emond, PhD; C. Gordon, PhD, St. Joseph's Healthcare Hamilton; L. Hart, MD, Department of Medicine, McMaster University, and St. Joseph's Healthcare Hamilton; G. Ioannidis, PhD, Department of Medicine, McMaster University, and St. Joseph's Healthcare Hamilton; M.X. Koh, BHSc, Faculty of Health Sciences, McMaster University; M. Larché, MD, Department of Medicine, McMaster University, and St. Joseph's Healthcare Hamilton; R. Tavares, PhD; S. Tytus, MD, St. Joseph's Healthcare Hamilton; J.D. Adachi, MD, Department of Medicine, McMaster University, and St. Joseph's Healthcare Hamilton.

Abstract

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