Deep learning for automatic brain tumour segmentation on MRI: evaluation of recommended reporting criteria via a reproduction and replication study.

Journal: BMJ open
Published Date: Jul 18, 2022

Abstract

OBJECTIVES: To determine the reproducibility and replicability of studies that develop and validate segmentation methods for brain tumours on MRI and that follow established reproducibility criteria; and to evaluate whether the reporting guidelines are sufficient.

Authors

  • Emilia Gryska
    MedTech West at Sahlgrenska University Hospital, University of Gothenburg, Gothenburg, Sweden emilia.gryska@gu.se.
  • Isabella Björkman-Burtscher
    Department of Radiology, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
  • Asgeir Store Jakola
  • Tora Dunås
    Department of Clinical Neuroscience, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
  • Justin Schneiderman
    MedTech West at Sahlgrenska University Hospital, University of Gothenburg, Gothenburg, Sweden.
  • Rolf A Heckemann
    Department of Medical Radiation Sciences, Institute of Clinical Sciences, Sahlgrenska Academy, Gothenburg, Sweden.

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