Using a patient image archive to diagnose retinopathy

Kenneth W Tobin; Michael D Abramoff; Edward Chaum; Luca Giancardo; V Govindasamy; Thomas P Karnowski; Matthew T S Tennant; Stephen Swainson

doi:10.1109/IEMBS.2008.4650445

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Using a patient image archive to diagnose retinopathy

Conference proceeding

Open access

Using a patient image archive to diagnose retinopathy

Kenneth W Tobin, Michael D Abramoff, Edward Chaum, Luca Giancardo, V Govindasamy, Thomas P Karnowski, Matthew T S Tennant and Stephen Swainson

Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference, Vol.2008, pp.5441-5444

2008

DOI: 10.1109/IEMBS.2008.4650445

PMID: 19163948

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https://www.osti.gov/servlets/purl/1005209View

Open Access

Abstract

Diabetes has become an epidemic that is expected to impact 365 million people worldwide by 2025. Consequently, diabetic retinopathy is the leading cause of blindness in the industrialized world today. If detected early, treatments can preserve vision and significantly reduce debilitating blindness. Through this research we are developing and testing a method for automating the diagnosis of retinopathy in a screening environment using a patient archive and digital fundus imagery. We present an overview of our content-based image retrieval (CBIR) approach and provide performance results for a dataset of 98 images from a study in Canada when compared to an archive of 1,355 patients from a study in the Netherlands. An aggregate performance of 89% correct diagnosis is achieved, demonstrating the potential of automated, web-based diagnosis for a broad range of imagery collected under different conditions and with different cameras.

Algorithms

Radiology Information Systems

Reproducibility of Results

Fluorescein Angiography - methods

Artificial Intelligence

Humans

Image Interpretation, Computer-Assisted - methods

Diabetic Retinopathy - pathology

Mass Screening - methods

Database Management Systems

Sensitivity and Specificity

Image Enhancement - methods

Retinoscopy - methods

Pattern Recognition, Automated - methods

Details

Title: Subtitle: Using a patient image archive to diagnose retinopathy
Creators: Kenneth W Tobin - Image Science and Machine Vision Group at the Oak Ridge National Laboratory, Oak Ridge, Tennessee 37831-6075, USA. tobinkwjr@ornl.gov
Michael D Abramoff
Edward Chaum
Luca Giancardo
V Govindasamy
Thomas P Karnowski
Matthew T S Tennant
Stephen Swainson
Resource Type: Conference proceeding
Publication Details: Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference, Vol.2008, pp.5441-5444
DOI: 10.1109/IEMBS.2008.4650445
PMID: 19163948
NLM abbreviation: Conf Proc IEEE Eng Med Biol Soc
eISBN: 9781424418152; 1424418151
ISSN: 1557-170X
eISSN: 1558-4615
Publisher: United States
Grant note: EY01765 / NEI NIH HHS R01 EY017065 / NEI NIH HHS
Language: English
Date published: 2008
Academic Unit: Roy J. Carver Department of Biomedical Engineering; Electrical and Computer Engineering; Ophthalmology and Visual Sciences
Record Identifier: 9983806396902771

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