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A contribution of image processing to the diagnosis of diabetic retinopathy-detection of exudates in color fundus images of the human retina
Abstract
In the framework of computer assisted diagnosis of diabetic retinopathy, a new algorithm for detection of exudates is presented and discussed. The presence of exudates within the macular region is a main hallmark of diabetic macular edema and allows its detection with a high sensitivity. Hence, detection of exudates is an important diagnostic task, in which computer assistance may play a major role. Exudates are found using their high grey level variation, and their contours are determined by means of morphological reconstruction techniques. The detection of the optic disc is indispensable for this approach. We detect the optic disc by means of morphological filtering techniques and the watershed transformation. The algorithm has been tested on a small image data base and compared with the performance of a human grader. As a result, we obtain a mean sensitivity of 92.8% and a mean predictive value of 92.4%. Robustness with respect to changes of the parameters of the algorithm has been evaluated.
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Cited by
the DIARETDB1 diabetic retinopathy database and evaluation protocol
Kauppi, T., Kalesnykiene, V., Kamarainen, J.-K., Lensu, L., Sorri, I., Raninen, A., Voutilainen, R., Uusitalo, H., Kalviainen, H., & Pietila, J. (2007) · Procedings of the British Machine Vision Conference 2007 · doi:10.5244/c.21.15 · Cited by 854
Detection of Optic Disc in Retinal Images by Means of a Geometrical Model of Vessel Structure
Foracchia, M., Grisan, E., & Ruggeri, A. (2004) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2004.829331 · Cited by 445
Automated Early Detection of Diabetic Retinopathy
Abràmoff, M. D., Reinhardt, J. M., Russell, S. R., Folk, J. C., Mahajan, V. B., Niemeijer, M., & Quellec, G. (2010) · Ophthalmology · doi:10.1016/j.ophtha.2010.03.046 · Cited by 287
Computer-based detection of diabetes retinopathy stages using digital fundus images
Acharya, U. R., Lim, C. M., Ng, E. Y. K., Chee, C., & Tamura, T. (2009) · Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine · doi:10.1243/09544119jeim486 · Cited by 217
Metadata
- Authors
- Walter, T., Klein, J., Massin, P., & Erginay, A.
- Venue
- IEEE Transactions on Medical Imaging
- Published
- 2002-10
- Volume
- 21
- Issue
- 10
- Pages
- 1236-1243
- ISSN
- 0278-0062 (ISSN-L)
- OpenAlex
- W2162698990
- Cited by
- 825
- References
- 0
- FWCI
- 3.32
- Type
- journal article
- Language
- en
- Open access
- closed
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- Walter, T., Klein, J., Massin, P., & Erginay, A. (2002). A contribution of image processing to the diagnosis of diabetic retinopathy-detection of exudates in color fundus images of the human retina. IEEE Transactions on Medical Imaging. https://doi.org/10.1109/tmi.2002.806290
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