Automatic detection of subretinal fluid and cyst in retinal images

Melinda Katona, Attila Kovács, Rózsa Dégi, L. Nyúl

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

3 Citations (Scopus)

Abstract

A modern tool for age-related macular degeneration (AMD) investigation is Optical Coherence Tomography (OCT) that can produce high resolution cross-sectional images about retinal layers. AMD is one of the most frequent reasons of blindness in economically advanced countries. AMD means degeneration of the macula which is responsible for central vision. Since AMD affects only this specific part of the retina, unattended patients lose their fine shape- and face recognition, reading ability, and central vision. We present a novel algorithm to localize subretinal fluid and cyst segments and extract quantitative measures thereof. Since, these algorithms are fully automated, the doctor does not need to perform extremely time-consuming manual contouring and human inaccuracies can be also eliminated.

Original languageEnglish
Title of host publicationImage Analysis and Processing - ICIAP 2017 - 19th International Conference, Proceedings
PublisherSpringer Verlag
Pages606-616
Number of pages11
ISBN (Print)9783319685595
DOIs
Publication statusPublished - Jan 1 2017
Event19th International Conference on Image Analysis and Processing, ICIAP 2017 - Catania, Italy
Duration: Sep 11 2017Sep 15 2017

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10484 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other19th International Conference on Image Analysis and Processing, ICIAP 2017
CountryItaly
CityCatania
Period9/11/179/15/17

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Keywords

  • Age-related macular degeneration
  • AMD
  • Cyst
  • Optical Coherence Tomography
  • SD-OCT
  • Subretinal fluid

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Katona, M., Kovács, A., Dégi, R., & Nyúl, L. (2017). Automatic detection of subretinal fluid and cyst in retinal images. In Image Analysis and Processing - ICIAP 2017 - 19th International Conference, Proceedings (pp. 606-616). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10484 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-68560-1_54