Digital Clinical Decision Support System for Screening of Eye Diseases

Gizeaddis Lamesgin Simegn, Mizanu Zelalem Degu

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

Abstract

Eye diseases are a major cause of blindness, primarily affecting elderly individuals, especially in developing nations. Among various eye diseases, glaucoma, age-related macular degeneration, and cataracts are the most prevalent in sub-Saharan African nations. Many of these eye conditions are preventable or treatable if detected early. Unfortunately, in low-resource settings, due to a lack of screening mechanisms and poorly organized healthcare structures, people do not often seek early checkups before the disease progresses. Furthermore, most eye diseases do not exhibit clear symptoms in the early stages and may be irreversible. Developing countries’ health facilities lack modern and high-quality screening technologies and specialized experts. In addition, conventional eye screening methods are reliant on physicians’ expertise and knowledge, which can lead to misdiagnosis. This study proposes a digital eye disease diagnosis support system that integrates image acquisition, enhancement, retinal vessel extraction, machine learning-based segmentation, and cup-to-disk ratio determination with intraocular pressure measurement for automated eye disease screening. Our experimental results indicate that this proposed system has the potential to be utilized as a decision support system for eye disease diagnosis, particularly in resource-limited settings.

Original languageEnglish (US)
Title of host publicationAdvancement of Science and Technology in Sustainable Manufacturing and Process Engineering
EditorsKibret Mequanint, Assefa Asmare Tsegaw, Zenamarkos Bantie Sendekie, Birhanu Kebede, Ephrem Yetbarek Gedilu
PublisherSpringer Science and Business Media Deutschland GmbH
Pages39-49
Number of pages11
ISBN (Print)9783031411724
DOIs
StatePublished - 2024
Externally publishedYes
Event10th EAI International Conference on Advancements of Science and Technology, EAI ICAST 2022 - Bahir Dar, Ethiopia
Duration: Nov 4 2022Nov 6 2022

Publication series

NameGreen Energy and Technology
ISSN (Print)1865-3529
ISSN (Electronic)1865-3537

Conference

Conference10th EAI International Conference on Advancements of Science and Technology, EAI ICAST 2022
Country/TerritoryEthiopia
CityBahir Dar
Period11/4/2211/6/22

Keywords

  • Cup-to-disk ratio
  • Eye disease
  • Glaucoma
  • Image processing
  • Intraocular pressure measurement
  • Machine learning
  • Segmentation
  • Vessel extraction

ASJC Scopus subject areas

  • Renewable Energy, Sustainability and the Environment
  • Energy Engineering and Power Technology
  • Industrial and Manufacturing Engineering
  • Management, Monitoring, Policy and Law

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