AI-based AMD Analysis: A Review of Recent Progress

P. Burlina, N. Joshi, N. M. Bressler

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

Abstract

Since 2016 much progress has been made in the automatic analysis of age related macular degeneration (AMD). Much of it was dedicated to the classification of referable vs. non-referable AMD, fine-grained AMD severity classification, and assessing the five-year risk of progression to the severe form of AMD. Here we review these developments, the main tasks that were addressed, and the main methods that were carried out.

Original languageEnglish (US)
Title of host publicationComputer Vision – ACCV 2018 Workshops - 14th Asian Conference on Computer Vision, 2018, Revised Selected Papers
EditorsGustavo Carneiro, Shaodi You
PublisherSpringer Verlag
Pages303-308
Number of pages6
ISBN (Print)9783030210731
DOIs
StatePublished - 2019
Event14th Asian Conference on Computer Vision, ACCV 2018 - Perth, Australia
Duration: Dec 2 2018Dec 6 2018

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11367 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference14th Asian Conference on Computer Vision, ACCV 2018
CountryAustralia
CityPerth
Period12/2/1812/6/18

Keywords

  • AMD diagnostics
  • Retinal diseases

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Burlina, P., Joshi, N., & Bressler, N. M. (2019). AI-based AMD Analysis: A Review of Recent Progress. In G. Carneiro, & S. You (Eds.), Computer Vision – ACCV 2018 Workshops - 14th Asian Conference on Computer Vision, 2018, Revised Selected Papers (pp. 303-308). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11367 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-030-21074-8_25