Using a patient image archive to diagnose retinopathy

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

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

21 Citations (Scopus)

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.

Original languageEnglish (US)
Title of host publicationProceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08
Pages5441-5444
Number of pages4
StatePublished - Dec 1 2008
Event30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - Vancouver, BC, Canada
Duration: Aug 20 2008Aug 25 2008

Other

Other30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08
CountryCanada
CityVancouver, BC
Period8/20/088/25/08

Fingerprint

Imagery (Psychotherapy)
Blindness
Image retrieval
Diabetic Retinopathy
Medical problems
Netherlands
Canada
Screening
Cameras
Testing
Research
Therapeutics
Datasets

All Science Journal Classification (ASJC) codes

  • Computer Vision and Pattern Recognition
  • Signal Processing
  • Biomedical Engineering
  • Health Informatics

Cite this

Tobinlph, K. W., Abramoff, M. D., Chaum, E., Giancardo, L., Govindasamy, V. P., Karnowski, T. P., ... Swainson, S. (2008). Using a patient image archive to diagnose retinopathy. In Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 (pp. 5441-5444). [4650445]

Using a patient image archive to diagnose retinopathy. / Tobinlph, Kenneth W.; Abramoff, Michael D.; Chaum, Edward; Giancardo, Luca; Govindasamy, V. Priya; Karnowski, Thomas P.; Tennant, Matthew T S; Swainson, Stephen.

Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08. 2008. p. 5441-5444 4650445.

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

Tobinlph, KW, Abramoff, MD, Chaum, E, Giancardo, L, Govindasamy, VP, Karnowski, TP, Tennant, MTS & Swainson, S 2008, Using a patient image archive to diagnose retinopathy. in Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08., 4650445, pp. 5441-5444, 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08, Vancouver, BC, Canada, 8/20/08.
Tobinlph KW, Abramoff MD, Chaum E, Giancardo L, Govindasamy VP, Karnowski TP et al. Using a patient image archive to diagnose retinopathy. In Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08. 2008. p. 5441-5444. 4650445
Tobinlph, Kenneth W. ; Abramoff, Michael D. ; Chaum, Edward ; Giancardo, Luca ; Govindasamy, V. Priya ; Karnowski, Thomas P. ; Tennant, Matthew T S ; Swainson, Stephen. / Using a patient image archive to diagnose retinopathy. Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08. 2008. pp. 5441-5444
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