AbdomenNet: deep neural network for abdominal organ segmentation in epidemiologic imaging studies.

Journal: BMC medical imaging
Published Date: Sep 17, 2022

Abstract

BACKGROUND: Whole-body imaging has recently been added to large-scale epidemiological studies providing novel opportunities for investigating abdominal organs. However, the segmentation of these organs is required beforehand, which is time consuming, particularly on such a large scale.

Authors

  • Anne-Marie Rickmann
    Lab for Artificial Intelligence in Medical Imaging, Department of Medicine, Ludwig Maximilians University Munich, Munich, Germany. arickman@med.lmu.de.
  • Jyotirmay Senapati
    Lab for Artificial Intelligence in Medical Imaging, Department of Medicine, Ludwig Maximilians University Munich, Munich, Germany.
  • Oksana Kovalenko
    Lab for Artificial Intelligence in Medical Imaging, Institute of Diagnostic and Interventional Radiology, Technical University of Munich, Munich, Germany.
  • Annette Peters
    Institute of Epidemiology II, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany.
  • Fabian Bamberg
    Department of Diagnostic and Interventional Radiology, University Medical Center Tübingen, Tübingen, Germany.
  • Christian Wachinger

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