Journal of Intelligent Learning Systems and Applications

Journal of Intelligent Learning Systems and Applications

ISSN Print: 2150-8402
ISSN Online: 2150-8410
www.scirp.org/journal/jilsa
E-mail: jilsa@scirp.org
"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 Review on Swarm intelligence & Evolutionary Algorithms based Approaches for Diabetic Retinopathy Detection
2022 IEEE World …, 2022
[2] A Genetic Algorithm for Solving Periodic Heterogeneous Vehicle Routing Problem
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[3] Deep convolutional neural network and emotional learning based breast cancer detection using digital mammography
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[4] A Review Paper on Methods for Diagnosis of Diabetic Retinopathy
International Journal of Scientific Research in Computer Science Applications and Management Studies, 2019
[5] A Novel Approach for Detection of Diabetic Retinopathy using the Concept of Computer Vision
InternationalJournal of Advanced Scientific Research and Management, 2019
[6] Segmentation and Classification of Retina Images Using Wavelet Transform and Distance Measures
2019
[7] Computer-aided diagnosis for Diabetic Retinopathy based on Firefly algorithm
2019
[8] Abdulsamad, and RF Mansour," Wavelet filter techniques for segmenting retinal blood vessels,"
2017
[9] Wavelet filter techniques for segmenting retinal blood vessels
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[10] Real-Time Iris Tracking-based on a Generalized Probabilistic Particle Filter
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[11] 應用人工智慧演算法探討多車種之送貨路徑規劃問題
臺灣虎尾科技大學學位論文, 2017
[12] 應用人工智慧演算法於單向道路方向規劃問題
臺灣虎尾科技大學學位論文, 2017
[13] Modelación matemática de la absorción de hierro en células Caco-2 mediante algoritmos de programación genética y fenomenológicos
2017
[14] Contrast Enhancement for Retinal Images using Multi-Objective Genetic Algorithm
International Journal of Emerging Trends in Engineering and Development, 2016
[15] Identification of Diabetic Retinopathy from Segmented Retinal Fundus Images by using Support Vector Machine
2016
[16] Retina vessel detection by using DCT Filtering
2015
[17] A Hybrid PSO-DEFS Based Feature Selection for the Identification of Diabetic Retinopathy
Current diabetes reviews, 2015
[18] CONTRAST ENHANCEMET FOR RETINAL IMAGES USING MULTI-OBJECTIVE GENETIC ALGORITHM
2015
[19] Using image processing methods for diagnosis diabetic retinopathy
2014
[20] The genetic algorithm optimize computing applications in computer network reliability analysis
2014
[21] 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
[22] Adaptive Neuro Fuzzy Inference System Assisted Diagnosis of Diabetic Retinopathy from Fundus Image
G Anidha, US Banu - researchgate.net, 2013
[23] Identification of Diabetic Retinal Exudates in Digital Color Images Using Support Vector Machine
Journal of Intelligent Learning Systems and Applications, 2013
[24] Genetic Algorithm Based Deep Learning Model Selection for Diabetic Retinopathy Classification
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