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Automated detection and quantification of retinal exudates

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Abstract

Retinal exudates are a common manifestation of vascular damage in a variety of retinal diseases. We have used computerized image analysis to detect and measure the area of exudates from digitized colour fundus slides of patients with diabetic retionpathy and have assessed the repeatability, reproducibility, and accuracy of the technique. The analysis was entirely independent of the operator apart from choice of the region to be analysed. The coefficient of variation for repeatability was between 3% for large areas of exudate and 17% for small areas of exudate. The reproducibility was also within this range. Sensitivity was between 61 and 100% o (mean 87%). False-positives were observed in 5 of 30 regions analysed, and these could have been eliminated by using more stringent criteria for selection of images for analysis. Time taken for the analysis was approximately 3 min.

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This work was supported by grants from: The Scottisch Home and Health Department, The Scottish Hospital Endowments Research Trust, The TFC Frost Trust, and Grampian Health Board.

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Phillips, R., Forrester, J. & Sharp, P. Automated detection and quantification of retinal exudates. Graefe's Arch Clin Exp Ophthalmol 231, 90–94 (1993). https://doi.org/10.1007/BF00920219

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  • DOI: https://doi.org/10.1007/BF00920219

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