"Using Genetic Algorithm for Identification of Diabetic Retinal Exudates in Digital Color Images"
written by Romany Fouad Mansour,
published by Journal of Intelligent Learning Systems and Applications, Vol.4 No.3, 2012
has been cited by the following article(s):
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[1] A Novel Approach for Detection of Diabetic Retinopathy using the Concept of Computer Vision
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[6] Contrast Enhancement for Retinal Images using Multi-Objective Genetic Algorithm
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[7] A Hybrid PSO-DEFS Based Feature Selection for the Identification of Diabetic Retinopathy
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[8] CONTRAST ENHANCEMET FOR RETINAL IMAGES USING MULTI-OBJECTIVE GENETIC ALGORITHM
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[9] Retina vessel detection by using DCT Filtering
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[10] Using image processing methods for diagnosis diabetic retinopathy
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[11] The genetic algorithm optimize computing applications in computer network reliability analysis
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[12] Modified cross-over techniques in Genetic Algorithm for performance enhancement of retinal image classification system
Computational Intelligence and Information Technology, 2013. CIIT 2013. Third International Conference on, 2013
[13] Adaptive Neuro Fuzzy Inference System Assisted Diagnosis of Diabetic Retinopathy from Fundus Image
G Anidha, US Banu - researchgate.net, 2013
[14] Identification of Diabetic Retinal Exudates in Digital Color Images Using Support Vector Machine
Journal of Intelligent Learning Systems and Applications, 2013