A new computer-aided diagnosis tool based on deep learning methods for automatic detection of retinal disorders from OCT images.

Journal: International ophthalmology
PMID: 38396074

Abstract

PURPOSE: Early detection of retinal disorders using optical coherence tomography (OCT) images can prevent vision loss. Since manual screening can be time-consuming, tedious, and fallible, we present a reliable computer-aided diagnosis (CAD) software based on deep learning. Also, we made efforts to increase the interpretability of the deep learning methods, overcome their vague and black box nature, and also understand their behavior in the diagnosis.

Authors

  • Reza Alizadeh Eghtedar
    Department of Bioelectrics and Biomedical Engineering, School of Advanced Technologies in Medicine, Isfahan University of Medical Sciences, Isfahan, Iran.
  • Alireza Vard
    Department of Bioelectrics and Biomedical Engineering, School of Advanced Technologies in Medicine, Isfahan University of Medical Sciences, Isfahan, Iran; Medical Image and Signal Processing Research Center, Isfahan University of Medical Sciences, Isfahan, Iran. Electronic address: vard@amt.mui.ac.ir.
  • Mohammad Malekahmadi
    Department of Ophthalmology, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran.
  • Alireza Peyman
    Department of Ophthalmology, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran.

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