{"id":"https://openalex.org/W1998023598","doi":"https://doi.org/10.4018/jcini.2010070103","title":"A Hybrid Genetic Algorithm based Fuzzy Approach for Abnormal Retinal Image Classification","display_name":"A Hybrid Genetic Algorithm based Fuzzy Approach for Abnormal Retinal Image Classification","publication_year":2010,"publication_date":"2010-07-01","ids":{"openalex":"https://openalex.org/W1998023598","doi":"https://doi.org/10.4018/jcini.2010070103","mag":"1998023598"},"language":"en","primary_location":{"id":"doi:10.4018/jcini.2010070103","is_oa":false,"landing_page_url":"https://doi.org/10.4018/jcini.2010070103","pdf_url":null,"source":{"id":"https://openalex.org/S157664362","display_name":"International Journal of Cognitive Informatics and Natural Intelligence","issn_l":"1557-3958","issn":["1557-3958","1557-3966"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Cognitive Informatics and Natural Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5056312428","display_name":"J. Anitha","orcid":"https://orcid.org/0000-0002-0293-0821"},"institutions":[{"id":"https://openalex.org/I119668213","display_name":"Karunya University","ror":"https://ror.org/03k23nv15","country_code":"IN","type":"education","lineage":["https://openalex.org/I119668213"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"J. Anitha","raw_affiliation_strings":["Karunya University, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Karunya University, India","institution_ids":["https://openalex.org/I119668213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083915188","display_name":"C. Kezi Selva Vijila","orcid":null},"institutions":[{"id":"https://openalex.org/I119668213","display_name":"Karunya University","ror":"https://ror.org/03k23nv15","country_code":"IN","type":"education","lineage":["https://openalex.org/I119668213"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"C. Kezi Selva Vijila","raw_affiliation_strings":["Karunya University, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Karunya University, India","institution_ids":["https://openalex.org/I119668213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044672544","display_name":"D. Jude Hemanth","orcid":"https://orcid.org/0000-0002-6091-1880"},"institutions":[{"id":"https://openalex.org/I119668213","display_name":"Karunya University","ror":"https://ror.org/03k23nv15","country_code":"IN","type":"education","lineage":["https://openalex.org/I119668213"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"D. Jude Hemanth","raw_affiliation_strings":["Karunya University, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Karunya University, India","institution_ids":["https://openalex.org/I119668213"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7751,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.74269847,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"4","issue":"3","first_page":"29","last_page":"43"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11438","display_name":"Retinal Imaging and Analysis","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11438","display_name":"Retinal Imaging and Analysis","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.975600004196167,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T14319","display_name":"Currency Recognition and Detection","score":0.9569000005722046,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8070871829986572},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.7004956007003784},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6710361838340759},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.668731153011322},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5884469151496887},{"id":"https://openalex.org/keywords/fuzzy-set","display_name":"Fuzzy set","score":0.43529990315437317},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.4347924292087555},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3635363280773163},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.32236015796661377},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3049675226211548}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8070871829986572},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.7004956007003784},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6710361838340759},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.668731153011322},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5884469151496887},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.43529990315437317},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.4347924292087555},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3635363280773163},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32236015796661377},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3049675226211548}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.4018/jcini.2010070103","is_oa":false,"landing_page_url":"https://doi.org/10.4018/jcini.2010070103","pdf_url":null,"source":{"id":"https://openalex.org/S157664362","display_name":"International Journal of Cognitive Informatics and Natural Intelligence","issn_l":"1557-3958","issn":["1557-3958","1557-3966"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Cognitive Informatics and Natural Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:igg:jcini0:v:4:y:2010:i:3:p:29-43","is_oa":false,"landing_page_url":"https://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/jcini.2010070103","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W292568972","https://openalex.org/W611793365","https://openalex.org/W1635902333","https://openalex.org/W1652951589","https://openalex.org/W2010199950","https://openalex.org/W2045480547","https://openalex.org/W2055680432","https://openalex.org/W2059432853","https://openalex.org/W2076950667","https://openalex.org/W2089698565","https://openalex.org/W2095006131","https://openalex.org/W2100704456","https://openalex.org/W2101854343","https://openalex.org/W2103812576","https://openalex.org/W2139915254","https://openalex.org/W2146789882","https://openalex.org/W2149430368","https://openalex.org/W2150769593","https://openalex.org/W2153701130","https://openalex.org/W2158518042","https://openalex.org/W2161342819","https://openalex.org/W2185648431","https://openalex.org/W2262249434","https://openalex.org/W2309390906","https://openalex.org/W2484215240","https://openalex.org/W3023540311"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4224009465","https://openalex.org/W4306674287","https://openalex.org/W4286629047","https://openalex.org/W4205958290","https://openalex.org/W4384212932","https://openalex.org/W4390590544","https://openalex.org/W2096195258","https://openalex.org/W2990460313","https://openalex.org/W2973458857"],"abstract_inverted_index":{"Fuzzy":[0],"approaches":[1],"are":[2,18,115],"one":[3],"of":[4,14,51,80,89,103],"the":[5,12,22,40,49,58,65,73,78,81,87,95,101,135,141,153,158],"widely":[6],"used":[7,19,116],"artificial":[8],"intelligence":[9],"techniques":[10,17,42,55],"in":[11,31,100,117],"field":[13],"ophthalmology.":[15],"These":[16],"for":[20,93,152],"classifying":[21],"abnormal":[23,104],"retinal":[24,105,109],"images":[25,110,129],"into":[26],"different":[27,113],"categories":[28],"that":[29,38,75],"assist":[30],"treatment":[32],"planning.":[33],"The":[34],"main":[35],"characteristic":[36],"feature":[37,123],"makes":[39],"fuzzy":[41,53,82,136,144,160],"highly":[43,149],"popular":[44],"is":[45,98,125,132],"their":[46],"accuracy.":[47],"But,":[48],"accuracy":[50,74],"these":[52,128],"logic":[54],"depends":[56],"on":[57,64],"expertise":[59],"knowledge,":[60],"which":[61],"indirectly":[62],"relies":[63],"input":[66,69,96],"samples.":[67],"Insignificant":[68],"samples":[70,97],"may":[71],"reduce":[72],"further":[76],"reduces":[77],"efficiency":[79],"technique.":[83],"In":[84],"this":[85,118],"work,":[86],"application":[88],"Genetic":[90],"Algorithm":[91],"(GA)":[92],"optimizing":[94],"explored":[99],"context":[102],"image":[106],"classification.":[107],"Abnormal":[108],"from":[111,127],"four":[112],"classes":[114],"work":[119],"and":[120,138],"a":[121],"comprehensive":[122],"set":[124],"extracted":[126],"as":[130],"classification":[131],"performed":[133],"with":[134,140],"classifier":[137,156],"also":[139],"GA":[142,154],"optimized":[143],"classifier.":[145,161],"Experimental":[146],"results":[147,151],"suggest":[148],"accurate":[150],"based":[155],"than":[157],"conventional":[159]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":3},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}