Exudate segmentation in fundus images using an ant colony optimization approach

Author:

Pereira Carla,Gonçalves Luís,Ferreira Manuel

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering,Software

Reference32 articles.

1. Automated detection of exudates and macular of grading of diabetic macular edema;Akram;Comput. Methods Prog. Biomed.,2014

2. Statistical atlas based exudate segmentation;Ali;Comput. Med. Imag. Graph.,2013

3. Improvement of the hard exudates detection method used for computer-aided diagnosis of diabetic retinopathy;Amel;Int. J. Image, Graph. Signal Process. (IJIGSP),2012

4. Detection of blood vessels in ophthalmoscope images using MF/ant (matched filter/ant colony) algorithm;Cinsdikici;Comput. Methods Prog. Biomed.,2009

5. Ant colony optimization and its application to adaptive routing in telecommunication networks;Di Caro;Fac. Sci. Appl.,2004

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