Automatic exudate detection with improved Naïve-bayes classifier

@article{Harangi2012AutomaticED,
  title={Automatic exudate detection with improved Na{\"i}ve-bayes classifier},
  author={Balazs Harangi and B{\'a}lint Antal and Andr{\'a}s Hajdu},
  journal={2012 25th IEEE International Symposium on Computer-Based Medical Systems (CBMS)},
  year={2012},
  pages={1-4}
}
Nowadays diabetic retinopathy is one of the most common reasons of blindness in the world. Exudates are the primary sign of this disease so the proper detection of these lesions is an essential task in an automatic screening system. In this paper, we propose a method for exudate detection which performs with high accuracy. First, we identify possible regions containing exudates using grayscale morphology. Then, we extract more than 50 descriptors for each candidate pixel to classify them. We… CONTINUE READING

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Automatic detection of diabetic retinop athy exudates from non - dilated retinal images using mathematical morphology methods ”

  • Sopharak, B. Uyyanonvara S. Barman, T. H. Williamson
  • Computerized Medical Imaging and Graphics
  • 2008

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