Automatic Segmentation of Exudates in Ocular Images using Ensembles of Aperture Filters and Logistic Regression

@inproceedings{Benalczar2013AutomaticSO,
  title={Automatic Segmentation of Exudates in Ocular Images using Ensembles of Aperture Filters and Logistic Regression},
  author={Marco Benalc{\'a}zar and Marcel Brun and Virginia L. Ballarin},
  year={2013}
}
Hard and soft exudates are the main signs of diabetic macular edema (DME). The segmentation of both kinds of exudates generates valuable information not only for the diagnosis of DME, but also for treatment, which helps to avoid vision loss and blindness. In this paper, we propose a new algorithm for the automatic segmentation of exudates in ocular fundus images. The proposed algorithm is based on ensembles of aperture filters that detect exudate candidates and remove major blood vessels from… CONTINUE READING