Evaluating visual search in glaucoma using deep learning

Anoop Mishra, David Anderson, Steven Belcher, Deepak Khazanchi

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

Abstract

Glaucoma patients experience difficulty with daily activities, including reading, mobility, and driving. Visual search is instrumental to rapidly localizing target objects among competing objects within our environment. While numerous studies have evaluated factors that influence visual search performance, limited evidence is available for how these factors affect visual search in glaucoma patients. Our core hypothesis is that environmental scene context and image characteristics fundamentally influence visual search performance in glaucoma. We propose a conceptual model for evaluating visual search performance in glaucoma patients using deep learning and image processing techniques. We utilize the Berlin Object in Scene Database (BOiS) to test the model. This database contains 130 high-resolution naturalistic images intended to evaluate visual search performance in a real-world setting. Our results describe the scene context and image characteristics of each scene, which will help to evaluate and understand the perception of glaucoma patients during visual search in future research.

Original languageEnglish (US)
Title of host publication26th Americas Conference on Information Systems, AMCIS 2020
PublisherAssociation for Information Systems
ISBN (Electronic)9781733632546
StatePublished - 2020
Event26th Americas Conference on Information Systems, AMCIS 2020 - Salt Lake City, Virtual, United States
Duration: Aug 10 2020Aug 14 2020

Publication series

Name26th Americas Conference on Information Systems, AMCIS 2020

Conference

Conference26th Americas Conference on Information Systems, AMCIS 2020
CountryUnited States
CitySalt Lake City, Virtual
Period8/10/208/14/20

Keywords

  • Deep learning
  • Glaucoma
  • Image characteristics
  • Scene context
  • Visual search

ASJC Scopus subject areas

  • Computer Science Applications
  • Information Systems
  • Computer Networks and Communications
  • Library and Information Sciences

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