Automated microaneurysms detection in fundus images using image segmentation

@article{Sreng2017AutomatedMD,
  title={Automated microaneurysms detection in fundus images using image segmentation},
  author={Syna Sreng and Noppadol Maneerat and Kazuhiko Hamamoto},
  journal={2017 International Conference on Digital Arts, Media and Technology (ICDAMT)},
  year={2017},
  pages={19-23}
}
Diabetic retinopathy is one of the complicated diseases which occurs in diabetic patients when the affects damage the retina. The eyes vision can lead to be lost in case of late treatment. Microaneurysms are the earliest detectable abnormalities of diabetic retinopathy, so the automated detection of the lesions is essential and useful task. This paper proposed a simple method to detect microaneurysms based on its characteristics in fundus images using some techniques in image segmentation… CONTINUE READING

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