Retinal Vessel Segmentation Using an Entropy-Based Optimization Algorithm

Int. J. Heal. Inf. Syst. Informatics Pub Date : 2020-04-01 DOI:10.4018/ijhisi.2020040105

Sukhpreet Kaur, K. S. Mann

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引用次数: 2

Abstract

Thisarticlepresentsanalgorithmforthesegmentationofretinalbloodvesselsforthedetectionof diabeticretinopathyeyediseases.Thisdiseaseoccursinpatientswithuntreateddiabetesforalongtime. Sincethisdiseaseisrelatedtotheretina,itcaneventuallyleadtovisionimpairment.Theproposed algorithmisasupervisedlearningmethodofbloodvesselssegmentationinwhichtheclassification system is trained with the features that are extracted from the images. The proposed system is implementedontheimagesofDRIVE,STAREandCHASE_DB1databases.Thesegmentationis donebyformingclusterswiththefeaturesofpatterns.Thefeatureswereextractedusingindependent componentanalysisand theclassification isperformedbysupportvectormachines (SVM).The resultsoftheparametersaregroupedbyaccuracy,sensitivity,specificity,positivepredictivevalue, falsepositiverateandarecomparedwithparticleswarmoptimization(PSO),thefireflyoptimization algorithm(FA)andthelionoptimizationalgorithm(LOA). KEywORdS Diabetic Retinopathy, Feature Extraction, Optimization, Retinal Vessels

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基于熵优化算法的视网膜血管分割

Thisarticlepresentsanalgorithmforthesegmentationofretinalbloodvesselsforthedetectionof diabeticretinopathyeyediseases.Thisdiseaseoccursinpatientswithuntreateddiabetesforalongtime。Sincethisdiseaseisrelatedtotheretina，itcaneventuallyleadtovisionimpairment。Theproposed algorithmisasupervisedlearningmethodofbloodvesselssegmentationinwhichtheclassification system是用从图像中提取的特征来训练的。建议的系统是implementedontheimagesofDRIVE，STAREandCHASE_DB1databases。Thesegmentationis donebyformingclusterswiththefeaturesofpatterns。Thefeatureswereextractedusingindependent componentanalysisand theclassification isperformedbysupportvectormachines (SVM)。The resultsoftheparametersaregroupedbyaccuracy、sensitivity、specificity、positivepredictivevalue、falsepositiverateandarecomparedwithparticleswarmoptimization(PSO)、thefireflyoptimization algorithm_ (FA)andthelionoptimizationalgorithm(LOA)。关键词:糖尿病视网膜病变;特征提取;优化

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Int. J. Heal. Inf. Syst. Informatics

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