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In this work, the application of Genetic Algorithm (GA) for optimizing the input samples is explored in the context of abnormal retinal image classification. Abnormal retinal images from four different classes are used in this work and a comprehensive feature set is extracted from these images as classification is performed with the fuzzy classifier and also with the GA optimized fuzzy classifier. Experimental results suggest highly accurate results for the GA based classifier than the conventional fuzzy classifier.<\/p>","DOI":"10.4018\/jcini.2010070103","type":"journal-article","created":{"date-parts":[[2010,9,7]],"date-time":"2010-09-07T22:39:57Z","timestamp":1283899197000},"page":"29-43","source":"Crossref","is-referenced-by-count":6,"title":["A Hybrid Genetic Algorithm based Fuzzy Approach for Abnormal Retinal Image Classification"],"prefix":"10.4018","volume":"4","author":[{"given":"J.","family":"Anitha","sequence":"first","affiliation":[{"name":"Karunya University, India"}]},{"given":"C. Kezi Selva","family":"Vijila","sequence":"additional","affiliation":[{"name":"Karunya University, India"}]},{"given":"D. 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