A Computational-Intelligence-Based Approach for Detection of Exudates in Diabetic Retinopathy Images

  title={A Computational-Intelligence-Based Approach for Detection of Exudates in Diabetic Retinopathy Images},
  author={Alireza Osareh and Bita Shadgar and Richard Markham},
  journal={IEEE Transactions on Information Technology in Biomedicine},
Currently, there is an increasing interest for setting up medical systems that can screen a large number of people for sight threatening diseases, such as diabetic retinopathy. This paper presents a method for automated identification of exudate pathologies in retinopathy images based on computational intelligence techniques. The color retinal images are segmented using fuzzy c-means clustering following some preprocessing steps, i.e., color normalization and contrast enhancement. The entire… CONTINUE READING
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Publications referenced by this paper.
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Image analysis for automatic diagnosis of diabetic retinopathy

  • C. Sinthanayothin
  • Ph.D. dissertation, King’s College of London…
  • 1999
Highly Influential
9 Excerpts

An effective approach to detect lesions in retinal images

  • H. Wang, H. Hsu, K. Goh, M. Lee
  • Proc. IEEE Conf. Comput. Vis. Pattern Recogn…
  • 2000
Highly Influential
4 Excerpts

The Color Image Processing Handbook

  • S. Sangwine, R Horne
  • 1998
Highly Influential
5 Excerpts

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