{"id":"https://openalex.org/W2054030467","doi":"https://doi.org/10.4018/jhisi.2010110304","title":"Application of Adaptive Resonance Theory Neural Network for MR Brain Tumor Image Classification","display_name":"Application of Adaptive Resonance Theory Neural Network for MR Brain Tumor Image Classification","publication_year":2010,"publication_date":"2010-01-01","ids":{"openalex":"https://openalex.org/W2054030467","doi":"https://doi.org/10.4018/jhisi.2010110304","mag":"2054030467"},"language":"en","primary_location":{"id":"doi:10.4018/jhisi.2010110304","is_oa":false,"landing_page_url":"https://doi.org/10.4018/jhisi.2010110304","pdf_url":null,"source":{"id":"https://openalex.org/S139009114","display_name":"International Journal of Healthcare Information Systems and Informatics","issn_l":"1555-3396","issn":["1555-3396","1555-340X"],"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 Healthcare Information Systems and Informatics","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/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":true,"raw_author_name":"D. Jude Hemanth","raw_affiliation_strings":["Karunya University, India"],"affiliations":[{"raw_affiliation_string":"Karunya University, India","institution_ids":["https://openalex.org/I119668213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063375664","display_name":"D. Selvathi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"D. Selvathi","raw_affiliation_strings":["Mepco Schlenk Engineering College, India"],"affiliations":[{"raw_affiliation_string":"Mepco Schlenk Engineering College, India","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056312428","display_name":"J. Anitha","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":"J. Anitha","raw_affiliation_strings":["Karunya University, India"],"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":["https://openalex.org/A5044672544"],"corresponding_institution_ids":["https://openalex.org/I119668213"],"apc_list":null,"apc_paid":null,"fwci":0.9021,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.80200898,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"5","issue":"1","first_page":"61","last_page":"75"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9966999888420105,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9847000241279602,"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/adaptive-resonance-theory","display_name":"Adaptive resonance theory","score":0.8760833740234375},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.7605469226837158},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7091237902641296},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6998320817947388},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6436751484870911},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.607226550579071},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.5912432074546814},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.4222366213798523},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2407059371471405}],"concepts":[{"id":"https://openalex.org/C115755159","wikidata":"https://www.wikidata.org/wiki/Q352487","display_name":"Adaptive resonance theory","level":3,"score":0.8760833740234375},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7605469226837158},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7091237902641296},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6998320817947388},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6436751484870911},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.607226550579071},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.5912432074546814},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.4222366213798523},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2407059371471405}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.4018/jhisi.2010110304","is_oa":false,"landing_page_url":"https://doi.org/10.4018/jhisi.2010110304","pdf_url":null,"source":{"id":"https://openalex.org/S139009114","display_name":"International Journal of Healthcare Information Systems and Informatics","issn_l":"1555-3396","issn":["1555-3396","1555-340X"],"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 Healthcare Information Systems and Informatics","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:igg:jhisi0:v:5:y:2010:i:1:p:61-75","is_oa":false,"landing_page_url":"https://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/jhisi.2010110304","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":32,"referenced_works":["https://openalex.org/W631238529","https://openalex.org/W1481594008","https://openalex.org/W1491663334","https://openalex.org/W1608292140","https://openalex.org/W1652951589","https://openalex.org/W1756590484","https://openalex.org/W1854566075","https://openalex.org/W1893444755","https://openalex.org/W1971029066","https://openalex.org/W1979512319","https://openalex.org/W2010199950","https://openalex.org/W2059432853","https://openalex.org/W2077596487","https://openalex.org/W2101854343","https://openalex.org/W2102817775","https://openalex.org/W2106855632","https://openalex.org/W2120336557","https://openalex.org/W2126768332","https://openalex.org/W2129109731","https://openalex.org/W2138181193","https://openalex.org/W2148456980","https://openalex.org/W2161663128","https://openalex.org/W2183717154","https://openalex.org/W2249846468","https://openalex.org/W2285257517","https://openalex.org/W2541476323","https://openalex.org/W3126453336","https://openalex.org/W6620410633","https://openalex.org/W6629482631","https://openalex.org/W6678851513","https://openalex.org/W7021120116","https://openalex.org/W7027716524"],"related_works":["https://openalex.org/W4214932115","https://openalex.org/W2972035100","https://openalex.org/W2163817528","https://openalex.org/W2549006548","https://openalex.org/W3043252291","https://openalex.org/W2964383635","https://openalex.org/W2807311372","https://openalex.org/W2905846897","https://openalex.org/W2316780152","https://openalex.org/W1924140465"],"abstract_inverted_index":{"In":[0],"the":[1,4,7,17,61,73,85,106,117,124],"present":[2],"study,":[3],"effectiveness":[5],"of":[6,19,22,63,90,109,116],"adaptive":[8],"resonance":[9],"theory":[10],"neural":[11,77,111,135,142],"network":[12,87,143],"(ART2)":[13],"is":[14,57,98,120,129],"illustrated":[15],"in":[16,42,88,152],"context":[18],"automatic":[20],"classification":[21,91,114],"abnormal":[23],"brain":[24],"tumor":[25],"images.":[26,52],"Abnormal":[27],"images":[28,74],"from":[29,50],"four":[30],"different":[31],"classes":[32],"namely":[33],"metastase,":[34],"meningioma,":[35],"glioma":[36],"and":[37,93],"astrocytoma":[38],"have":[39],"been":[40],"used":[41,70],"this":[43,138],"work.":[44],"Initially,":[45],"textural":[46],"features":[47,67],"are":[48,68],"extracted":[49],"these":[51],"An":[53],"extensive":[54],"feature":[55],"selection":[56],"performed":[58],"to":[59,71,104],"optimize":[60],"number":[62],"features.":[64],"These":[65],"optimized":[66],"then":[69],"classify":[72],"using":[75],"ART2":[76,86,110,118,127,141],"network.":[78,112],"Experimental":[79],"results":[80,83],"show":[81,105],"promising":[82],"for":[84],"terms":[89],"accuracy":[92,115],"convergence":[94],"rate.":[95],"A":[96],"comparison":[97],"made":[99],"with":[100],"other":[101,134],"conventional":[102],"classifiers":[103],"superior":[107],"nature":[108],"The":[113],"classifier":[119,128,148],"significantly":[121],"higher":[122],"than":[123],"statistical":[125],"classifiers.":[126,136],"also":[130],"computationally":[131],"feasible":[132],"over":[133],"Thus":[137],"work":[139],"suggests":[140],"as":[144],"an":[145],"optimal":[146],"image":[147],"which":[149],"finds":[150],"application":[151],"clinical":[153],"field.":[154]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
