Recent Developments of Retinal Image Analysis in Alzheimer’s Disease and Potential AI Applications

Delia Cabrera DeBuc, Edmund Arthur

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


Alzheimers disease (AD) is the most common progressive neurodegenerative illness and cause of dementia in the elderly. The critical barriers for primary prevention in AD are the lack of rapid, non-invasive, sensitive and low-cost biomarkers. As the eye and brain share essential structural and pathogenic pathways, non-invasive eye biomarkers could be identified to obtain new insights into the onset and progression of AD and its complications in the eye. In this short review, recent developments of retinal image analysis in AD and potential artificial intelligence (AI) applications are presented. Some approaches are still very much novel research techniques, others are more established and transitioning into the clinical diagnostic arena. Together they provide us with the capability to move AD detection research forwards by using novel peripheral biomarkers.

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
Number of pages15
ISBN (Print)9783030210731
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


Conference14th Asian Conference on Computer Vision, ACCV 2018

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)


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