A probabilistic framework for content-based diagnosis of retinal disease

Kenneth W. Tobin, Mohamed Abdelrahman, Edward Chaum, V. Priya Govindasamy, Thomas P. Karnowski

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

8 Citations (Scopus)

Abstract

Diabetic retinopathy is the leading cause of blindness in the working age population in the industrialized world. Computer assisted analysis has the potential to assist in the early detection of diabetes by regular screening of large populations. The widespread availability of digital fundus cameras today is leading to the accumulation of large image archives of diagnosed patient data that captures historical knowledge of retinal pathology. Through this research we are developing a content-based image retrieval method to verify our hypothesis that retinal pathology can be identified and quantified from visually similar retinal images in an image archive. We will present diagnostic results for specificity and sensitivity on a population of 395 fundus images representing the normal fundus and 14 stratified disease states.

Original languageEnglish (US)
Title of host publication29th Annual International Conference of IEEE-EMBS, Engineering in Medicine and Biology Society, EMBC'07
Pages6743-6746
Number of pages4
DOIs
StatePublished - Dec 1 2007
Event29th Annual International Conference of IEEE-EMBS, Engineering in Medicine and Biology Society, EMBC'07 - Lyon, France
Duration: Aug 23 2007Aug 26 2007

Other

Other29th Annual International Conference of IEEE-EMBS, Engineering in Medicine and Biology Society, EMBC'07
CountryFrance
CityLyon
Period8/23/078/26/07

Fingerprint

Retinal Diseases
Pathology
Digital cameras
Image retrieval
Medical problems
Population
Data acquisition
Screening
Availability
Diabetic Retinopathy
Blindness
Sensitivity and Specificity
Research

All Science Journal Classification (ASJC) codes

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

Cite this

Tobin, K. W., Abdelrahman, M., Chaum, E., Govindasamy, V. P., & Karnowski, T. P. (2007). A probabilistic framework for content-based diagnosis of retinal disease. In 29th Annual International Conference of IEEE-EMBS, Engineering in Medicine and Biology Society, EMBC'07 (pp. 6743-6746). [4353909] https://doi.org/10.1109/IEMBS.2007.4353909

A probabilistic framework for content-based diagnosis of retinal disease. / Tobin, Kenneth W.; Abdelrahman, Mohamed; Chaum, Edward; Govindasamy, V. Priya; Karnowski, Thomas P.

29th Annual International Conference of IEEE-EMBS, Engineering in Medicine and Biology Society, EMBC'07. 2007. p. 6743-6746 4353909.

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

Tobin, KW, Abdelrahman, M, Chaum, E, Govindasamy, VP & Karnowski, TP 2007, A probabilistic framework for content-based diagnosis of retinal disease. in 29th Annual International Conference of IEEE-EMBS, Engineering in Medicine and Biology Society, EMBC'07., 4353909, pp. 6743-6746, 29th Annual International Conference of IEEE-EMBS, Engineering in Medicine and Biology Society, EMBC'07, Lyon, France, 8/23/07. https://doi.org/10.1109/IEMBS.2007.4353909
Tobin KW, Abdelrahman M, Chaum E, Govindasamy VP, Karnowski TP. A probabilistic framework for content-based diagnosis of retinal disease. In 29th Annual International Conference of IEEE-EMBS, Engineering in Medicine and Biology Society, EMBC'07. 2007. p. 6743-6746. 4353909 https://doi.org/10.1109/IEMBS.2007.4353909
Tobin, Kenneth W. ; Abdelrahman, Mohamed ; Chaum, Edward ; Govindasamy, V. Priya ; Karnowski, Thomas P. / A probabilistic framework for content-based diagnosis of retinal disease. 29th Annual International Conference of IEEE-EMBS, Engineering in Medicine and Biology Society, EMBC'07. 2007. pp. 6743-6746
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