A scoping review of transfer learning research on medical image analysis using ImageNet.

Journal: Computers in biology and medicine
Published Date: Nov 13, 2020

Abstract

OBJECTIVE: Employing transfer learning (TL) with convolutional neural networks (CNNs), well-trained on non-medical ImageNet dataset, has shown promising results for medical image analysis in recent years. We aimed to conduct a scoping review to identify these studies and summarize their characteristics in terms of the problem description, input, methodology, and outcome.

Authors

  • Mohammad Amin Morid
    Department of Operations and Information Systems, David Eccles School of Business, University of Utah, Salt Lake City, UT, USA.
  • Alireza Borjali
    Department of Orthopaedic Surgery, Harris Orthopaedics Laboratory, Massachusetts General Hospital, Boston, Massachusetts.
  • Guilherme Del Fiol
    Department of Biomedical Informatics, University of Utah School of Medicine, Salt Lake City, UT, United States.

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