Adopting transfer learning for neuroimaging: a comparative analysis with a custom 3D convolution neural network model.

Journal: BMC medical informatics and decision making
Published Date: Dec 7, 2022

Abstract

BACKGROUND: In recent years, neuroimaging with deep learning (DL) algorithms have made remarkable advances in the diagnosis of neurodegenerative disorders. However, applying DL in different medical domains is usually challenged by lack of labeled data. To address this challenge, transfer learning (TL) has been applied to use state-of-the-art convolution neural networks pre-trained on natural images. Yet, there are differences in characteristics between medical and natural images, also image classification and targeted medical diagnosis tasks. The purpose of this study is to investigate the performance of specialized and TL in the classification of neurodegenerative disorders using 3D volumes of 18F-FDG-PET brain scans.

Authors

  • Amira Soliman
    Center for Applied Intelligent Systems Research (CAISR), Halmstad University, Halmstad, Sweden.
  • Jose R Chang
    Center for Applied Intelligent Systems Research (CAISR), Halmstad University, Halmstad, Sweden.
  • Kobra Etminani
    Department of Medical Informatics, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran. Electronic address: EtminaniK@mums.ac.ir.
  • Stefan Byttner
    Center for Applied Intelligent Systems Research (CAISR), Halmstad University, Halmstad, Sweden.
  • Anette Davidsson
    Department of Clinical Physiology, Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden.
  • Begoña Martínez-Sanchis
    Department of Nuclear Medicine, Medical Imaging Area, Hospital Universitari i Politècnic La Fe, Valencia, Spain.
  • Valle Camacho
    Servicio de Medicina Nuclear, Hospital de La Santa Creu I Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain.
  • Matteo Bauckneht
    Nuclear Medicine Unit, IRCCS Ospedale Policlinico San Martino, Genoa, Italy.
  • Roxana Stegeran
    Department of Diagnostic Radiology, Linköping University Hospital, Linköping, Sweden.
  • Marcus Ressner
    Department of Medical Physics, Linköping University Hospital, Linköping, Sweden.
  • Marc Agudelo-Cifuentes
    Department of Nuclear Medicine, Medical Imaging Area, Hospital Universitari i Politècnic La Fe, Valencia, Spain.
  • Andrea Chincarini
    Istituto Nazionale di Fisica Nucleare, Sezione di Genova, Genova, Italy.
  • Matthias Brendel
    Department of Nuclear Medicine, University Hospital, LMU Munich, Munich, Germany.
  • Axel Rominger
  • Rose Bruffaerts
    Laboratory for Cognitive Neurology, Department of Neurosciences, KU Leuven, Herestraat 49, 3000, Leuven, Belgium. rose.bruffaerts@kuleuven.be.
  • Rik Vandenberghe
    Department of Neurology, University Hospitals Leuven, Leuven, Belgium.
  • Milica G Kramberger
    Department of Neurology, University Medical Centre Ljubljana, Medical faculty, University of Ljubljana, Slovenia.
  • Maja Trost
    Department of Neurology, University Medical Centre, Ljubljana, Slovenia.
  • Nicolas Nicastro
    Department of Psychiatry, University of Cambridge, Hills Road, Cambridge, CB2 0SP, UK. nn311@medschl.cam.ac.uk.
  • Giovanni B Frisoni
    LENITEM (Laboratory of Epidemiology, Neuroimaging and Telemedicine), IRCCS Centro "S. Giovanni di Dio-F.B.F.", Brescia, Italy; Memory Clinic and LANVIE - Laboratory of Neuroimaging of Aging, University Hospitals and University of Geneva, Geneva, Switzerland.
  • Afina W Lemstra
    Department of Neurology, Alzheimer Center, Amsterdam, The Netherlands.
  • Bart N M van Berckel
    Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience , Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
  • Andrea Pilotto
    Neurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy.
  • Alessandro Padovani
    Neurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy.
  • Silvia Morbelli
    IRCCS AOU San Martino - IST, Largo R. Benzi 10, 16132 Genoa, Italy.
  • Dag Aarsland
    Centre for Age-Related Medicine, Stavanger University Hospital, Stavanger, Norway; Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
  • Flavio Nobili
    Department of Neuroscience, Rehabilitation, Opthalmology, Genetics and Maternal and Child Science (DINOGMI), University of Genoa Largo Paolo Daneo 3, 16132 Genoa, Italy.
  • Valentina Garibotto
    Division of Nuclear Medicine and Molecular Imaging, Geneva University Hospitals, Geneva, Switzerland.
  • Miguel Ochoa-Figueroa
    Department of Clinical Physiology, Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden.

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