A coarse-to-fine strategy for automatically detecting exudates in color eye fundus images

@article{Welfer2010ACS,
  title={A coarse-to-fine strategy for automatically detecting exudates in color eye fundus images},
  author={Daniel Welfer and Jacob Scharcanski and Diane Ruschel Marinho},
  journal={Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society},
  year={2010},
  volume={34 3},
  pages={
          228-35
        }
}
The detection of exudates is a prerequisite for detecting and grading severe retinal lesions, like the diabetic macular edema. In this work, we present a new method based on mathematical morphology for detecting exudates in color eye fundus images. A preliminary evaluation of the proposed method performance on a known public database, namely DIARETDB1, indicates that it can achieve an average sensitivity of 70.48%, and an average specificity of 98.84%. Comparing to other recent automatic… CONTINUE READING

Results and Topics from this paper.

Key Quantitative Results

  • A preliminary evaluation of the proposed method performance on a known public database, namely DIARETDB1, indicates that it can achieve an average sensitivity of 70.48%, and an average specificity of 98.84%.

Citations

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