Artificial Bee Colony Algorithm Based Approach To Determine New Hemorrhagic Regions On Fundus Fluorescein Angiography Images


Çetinkaya M. B., Cıkıt H. E.

4th International Conference on Engineering Technology and Applied Sciences, Kyyiv, Ukraine, 24 - 28 April 2019, pp.186-189

  • Publication Type: Conference Paper / Full Text
  • City: Kyyiv
  • Country: Ukraine
  • Page Numbers: pp.186-189
  • Erciyes University Affiliated: Yes

Abstract

Diabetic retinopathy (DR) is a disease occurring in the retina due to the negative effects of diabetes. DR destroys the  structure of blood vessels and depending on this destruction blood  leakages occur in the retina layer.   Improper diagnosis and treatment weakens the visual function or disappears it completely. The most effective method used for the accurate diagnosis and treatment of DR is the Fundus Fluorescein Angiography (FFA) method.  In this work, K-means clustering (K-means) and artificial bee colony (ABC) algorithms are used to identify the new hemorrhagic regions in the diseased retinal image obtained with FFA. Also the total area of the hemorrhagic regions is calculated in order to obtain mathematical data about the disease and as a result of this  more accurate diagnosis of  diseased regions has become possible.