Comparative Analysis of Automatic Exudate Detection Algorithms

@inproceedings{SopharakComparativeAO,
  title={Comparative Analysis of Automatic Exudate Detection Algorithms},
  author={Akara Sopharak and Bunyarit Uyyanonvara and Sarah Barman and Thomas H. Williamson}
}
reduce the incidence of blindness in diabetic patients. In this work we implement and evaluate the performance of different algorithms for automatic exudate detection. These consist of a mathematical morphological technique, a fuzzy c-means clustering technique, a naive Bayesian classifier, a support vector machine and a nearest neighbor classifier. The detection accuracy is defined with respect to expert ophthalmologists' hand-drawn ground-truths and the results are presented and comparatively… CONTINUE READING

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