Automatic Detection and Characterization of Biomarkers in OCT Images

Melinda Katona, Attila Kovács, László Varga, Tamás Grósz, József Dombi, Rózsa Dégi, L. Nyúl

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

Optical Coherence Tomography (OCT) is one of the most advanced, non-invasive method of eye examination. Age-related macular degeneration (AMD) is one of the most frequent reasons of acquired blindness. Our aim is to develop automatic methods that can accurately identify and characterize biomarkers in OCT images, related to AMD. We present methods for quantizing hyperreflective foci (HRF) with deep learning. We also describe an algorithm for determining pigmentepithelial detachment (PED) and localizing outer retinal tubulation (ORT) that appears between the layers of the retina.

Original languageEnglish
Title of host publicationImage Analysis and Recognition - 15th International Conference, ICIAR 2018, Proceedings
PublisherSpringer Verlag
Pages706-714
Number of pages9
ISBN (Print)9783319929996
DOIs
Publication statusPublished - Jan 1 2018
Event15th International Conference on Image Analysis and Recognition, ICIAR 2018 - Povoa de Varzim, Portugal
Duration: Jun 27 2018Jun 29 2018

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10882 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other15th International Conference on Image Analysis and Recognition, ICIAR 2018
CountryPortugal
CityPovoa de Varzim
Period6/27/186/29/18

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Keywords

  • Age-related macular degeneration
  • Biomarker
  • Hyperreflective foci
  • Optical coherence tomography
  • Outer retinal tubulation
  • Pigmentepithelial detachment

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Katona, M., Kovács, A., Varga, L., Grósz, T., Dombi, J., Dégi, R., & Nyúl, L. (2018). Automatic Detection and Characterization of Biomarkers in OCT Images. In Image Analysis and Recognition - 15th International Conference, ICIAR 2018, Proceedings (pp. 706-714). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10882 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-93000-8_80