Classification of retinal diseases based on OCT Images

Nabila Eladawi, Mohammed Elmogy, Mohammed Ghazal, Omar Helmy, Ahmed Aboelfetouh, Alaa Riad, Shlomit Schaal, Ayman El-Baz

Research output: Contribution to journalReview articlepeer-review

37 Scopus citations


Optical Coherence Topography (OCT) is an emerging biomedical imaging technology that offers non-invasive real-time, high-resolution imaging of highly scattering tissues. It is widely used in ophthalmology to perform diagnostic imaging on the structure of the anterior eye and the retina. Clinical studies are carried out to assess the application of OCT for some retinal diseases. OCT can provide means for early detection for various types of diseases because morphological changes often occur before the physical symptoms of these diseases. In addition, follow-up imaging can assess treatment effectiveness and recurrence of a disease. A review in this area is needed to identify the results and the findings from OCT images in the field of retinal diseases and how to use these findings to help in clinical applications. This paper overviews the current techniques that are developed to determine the ability of OCT images for early detection/diagnosis of retinal diseases. Also, the paper remarks several challenges that face the researchers in the analysis of the OCT retinal images.

Original languageEnglish (US)
Pages (from-to)247-264
Number of pages18
JournalFrontiers in Bioscience
Issue number2
StatePublished - 2018


  • Age-related macular degeneration
  • AION
  • AMD
  • Central serous chorioretinopathy
  • CME
  • CSC
  • Cystoids macular edema
  • Diabetic macular edema
  • Diagnosing retinal diseases
  • DME
  • Glaucoma
  • OCT images
  • Optical coherence tomography
  • Retina anatomy in OCT
  • Review
  • Unilateral anterior ischemic optical neuropathy

ASJC Scopus subject areas

  • Biochemistry, Genetics and Molecular Biology(all)
  • Immunology and Microbiology(all)


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