Development of a volumetric pancreas segmentation CT dataset for AI applications through trained technologists: a study during the COVID 19 containment phase.

Journal: Abdominal radiology (New York)
Published Date: Sep 16, 2020

Abstract

PURPOSE: To evaluate the performance of trained technologists vis-à-vis radiologists for volumetric pancreas segmentation and to assess the impact of supplementary training on their performance.

Authors

  • Garima Suman
    Department of Radiology, Mayo Clinic, Rochester, MN 55905, USA.
  • Ananya Panda
    Department of Radiology, Mayo Clinic, Rochester, MN 55905, USA.
  • Panagiotis Korfiatis
    From the Department of Radiology, Mayo Clinic, 200 First St SW, Rochester, MN 55905.
  • Marie E Edwards
    Division of Nephrology and Hypertension, Mayo Clinic College of Medicine, Rochester, MN, USA.
  • Sushil Garg
    Department of Gastroenterology and Hepatology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA.
  • Daniel J Blezek
    Department of Radiology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA.
  • Suresh T Chari
    Department of Gastroenterology, Hepatology and Nutrition, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX, 77030, USA.
  • Ajit H Goenka
    Department of Radiology, Mayo Clinic, Rochester, MN 55905, USA. Electronic address: goenka.ajit@mayo.edu.

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