{"id":"https://openalex.org/W1637566050","doi":"https://doi.org/10.1109/ijcnn.2015.7280774","title":"Morphological extreme learning machines applied to detect and classify masses in mammograms","display_name":"Morphological extreme learning machines applied to detect and classify masses in mammograms","publication_year":2015,"publication_date":"2015-07-01","ids":{"openalex":"https://openalex.org/W1637566050","doi":"https://doi.org/10.1109/ijcnn.2015.7280774","mag":"1637566050"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2015.7280774","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2015.7280774","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5062553332","display_name":"Washington W. Azevedo","orcid":null},"institutions":[{"id":"https://openalex.org/I25112270","display_name":"Universidade Federal de Pernambuco","ror":"https://ror.org/047908t24","country_code":"BR","type":"education","lineage":["https://openalex.org/I25112270"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Washington W. Azevedo","raw_affiliation_strings":["Center for Informatics - CIn, Universidade Federal de Pernambuco, Brazil","[Center for Informatics - CIn, Universidade Federal de Pernambuco, Brazil]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Informatics - CIn, Universidade Federal de Pernambuco, Brazil","institution_ids":["https://openalex.org/I25112270"]},{"raw_affiliation_string":"[Center for Informatics - CIn, Universidade Federal de Pernambuco, Brazil]","institution_ids":["https://openalex.org/I25112270"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039460782","display_name":"Sidney Marlon Lopes de Lima","orcid":"https://orcid.org/0000-0002-4350-9689"},"institutions":[{"id":"https://openalex.org/I25112270","display_name":"Universidade Federal de Pernambuco","ror":"https://ror.org/047908t24","country_code":"BR","type":"education","lineage":["https://openalex.org/I25112270"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Sidney M. L. Lima","raw_affiliation_strings":["Center for Informatics - CIn, Universidade Federal de Pernambuco, Brazil","[Center for Informatics - CIn, Universidade Federal de Pernambuco, Brazil]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Informatics - CIn, Universidade Federal de Pernambuco, Brazil","institution_ids":["https://openalex.org/I25112270"]},{"raw_affiliation_string":"[Center for Informatics - CIn, Universidade Federal de Pernambuco, Brazil]","institution_ids":["https://openalex.org/I25112270"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108369202","display_name":"Isabella M. M. Fernandes","orcid":null},"institutions":[{"id":"https://openalex.org/I25112270","display_name":"Universidade Federal de Pernambuco","ror":"https://ror.org/047908t24","country_code":"BR","type":"education","lineage":["https://openalex.org/I25112270"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Isabella M. M. Fernandes","raw_affiliation_strings":["Universidade Federal de Pernambuco, Recife, PE, BR","[Department of Biomedical Engineering, Universidade Federal de Pernambuco, Brazil]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidade Federal de Pernambuco, Recife, PE, BR","institution_ids":["https://openalex.org/I25112270"]},{"raw_affiliation_string":"[Department of Biomedical Engineering, Universidade Federal de Pernambuco, Brazil]","institution_ids":["https://openalex.org/I25112270"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103028024","display_name":"Arthur Diego Dias Rocha","orcid":"https://orcid.org/0000-0001-7010-0419"},"institutions":[{"id":"https://openalex.org/I25112270","display_name":"Universidade Federal de Pernambuco","ror":"https://ror.org/047908t24","country_code":"BR","type":"education","lineage":["https://openalex.org/I25112270"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Arthur D. D. Rocha","raw_affiliation_strings":["Department of Biomedical Engineering, Universidade Federal de Pernambuco, Brazil","[Department of Biomedical Engineering, Universidade Federal de Pernambuco, Brazil]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, Universidade Federal de Pernambuco, Brazil","institution_ids":["https://openalex.org/I25112270"]},{"raw_affiliation_string":"[Department of Biomedical Engineering, Universidade Federal de Pernambuco, Brazil]","institution_ids":["https://openalex.org/I25112270"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065814189","display_name":"Filipe R. Cordeiro","orcid":"https://orcid.org/0000-0001-5582-8436"},"institutions":[{"id":"https://openalex.org/I25112270","display_name":"Universidade Federal de Pernambuco","ror":"https://ror.org/047908t24","country_code":"BR","type":"education","lineage":["https://openalex.org/I25112270"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Filipe R. Cordeiro","raw_affiliation_strings":["Universidade Federal de Pernambuco, Recife, PE, BR","[Center for Informatics - CIn, Universidade Federal de Pernambuco, Brazil]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidade Federal de Pernambuco, Recife, PE, BR","institution_ids":["https://openalex.org/I25112270"]},{"raw_affiliation_string":"[Center for Informatics - CIn, Universidade Federal de Pernambuco, Brazil]","institution_ids":["https://openalex.org/I25112270"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115590188","display_name":"Abel G. Silva-Filho","orcid":null},"institutions":[{"id":"https://openalex.org/I25112270","display_name":"Universidade Federal de Pernambuco","ror":"https://ror.org/047908t24","country_code":"BR","type":"education","lineage":["https://openalex.org/I25112270"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Abel G. da Silva-Filho","raw_affiliation_strings":["Center for Informatics - CIn, Universidade Federal de Pernambuco, Brazil","[Center for Informatics - CIn, Universidade Federal de Pernambuco, Brazil]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Informatics - CIn, Universidade Federal de Pernambuco, Brazil","institution_ids":["https://openalex.org/I25112270"]},{"raw_affiliation_string":"[Center for Informatics - CIn, Universidade Federal de Pernambuco, Brazil]","institution_ids":["https://openalex.org/I25112270"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079449019","display_name":"Wellington Pinheiro dos Santos","orcid":"https://orcid.org/0000-0003-2558-6602"},"institutions":[{"id":"https://openalex.org/I25112270","display_name":"Universidade Federal de Pernambuco","ror":"https://ror.org/047908t24","country_code":"BR","type":"education","lineage":["https://openalex.org/I25112270"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Wellington P. dos Santos","raw_affiliation_strings":["Department of Biomedical Engineering, Universidade Federal de Pernambuco, Brazil","[Department of Biomedical Engineering, Universidade Federal de Pernambuco, Brazil]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, Universidade Federal de Pernambuco, Brazil","institution_ids":["https://openalex.org/I25112270"]},{"raw_affiliation_string":"[Department of Biomedical Engineering, Universidade Federal de Pernambuco, Brazil]","institution_ids":["https://openalex.org/I25112270"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I25112270"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":33,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":0.9998999834060669,"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/T12676","display_name":"Machine Learning and ELM","score":0.9998999834060669,"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/T10057","display_name":"Face and Expression Recognition","score":0.9905999898910522,"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/T13693","display_name":"Smart Systems and Machine Learning","score":0.9713000059127808,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7559335827827454},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6413139700889587},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5579909086227417},{"id":"https://openalex.org/keywords/sigmoid-function","display_name":"Sigmoid function","score":0.5557528734207153},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5458673238754272},{"id":"https://openalex.org/keywords/zernike-polynomials","display_name":"Zernike polynomials","score":0.5145799517631531},{"id":"https://openalex.org/keywords/medical-diagnosis","display_name":"Medical diagnosis","score":0.49820494651794434},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.44725728034973145},{"id":"https://openalex.org/keywords/extreme-learning-machine","display_name":"Extreme learning machine","score":0.4327410161495209},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38367897272109985},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.25466373562812805},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24601009488105774},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.2167513370513916},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.2008335292339325},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.1210097074508667}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7559335827827454},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6413139700889587},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5579909086227417},{"id":"https://openalex.org/C81388566","wikidata":"https://www.wikidata.org/wiki/Q526668","display_name":"Sigmoid function","level":3,"score":0.5557528734207153},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5458673238754272},{"id":"https://openalex.org/C92423082","wikidata":"https://www.wikidata.org/wiki/Q132146","display_name":"Zernike polynomials","level":3,"score":0.5145799517631531},{"id":"https://openalex.org/C534262118","wikidata":"https://www.wikidata.org/wiki/Q177719","display_name":"Medical diagnosis","level":2,"score":0.49820494651794434},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.44725728034973145},{"id":"https://openalex.org/C2780150128","wikidata":"https://www.wikidata.org/wiki/Q21948731","display_name":"Extreme learning machine","level":3,"score":0.4327410161495209},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38367897272109985},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.25466373562812805},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24601009488105774},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.2167513370513916},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.2008335292339325},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.1210097074508667},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C165699331","wikidata":"https://www.wikidata.org/wiki/Q461533","display_name":"Wavefront","level":2,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2015.7280774","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2015.7280774","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.6800000071525574,"display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W31376329","https://openalex.org/W177004468","https://openalex.org/W1990938413","https://openalex.org/W1993717606","https://openalex.org/W2013594793","https://openalex.org/W2014303752","https://openalex.org/W2026131661","https://openalex.org/W2028269928","https://openalex.org/W2042479912","https://openalex.org/W2044465660","https://openalex.org/W2047190548","https://openalex.org/W2055783626","https://openalex.org/W2056207462","https://openalex.org/W2071898304","https://openalex.org/W2081867911","https://openalex.org/W2107667537","https://openalex.org/W2111072639","https://openalex.org/W2130378394","https://openalex.org/W2138742345","https://openalex.org/W2165693726","https://openalex.org/W2167000802","https://openalex.org/W2505500868","https://openalex.org/W2514575318","https://openalex.org/W2994602700","https://openalex.org/W4229921563","https://openalex.org/W4292003313","https://openalex.org/W4386718162","https://openalex.org/W6607184829","https://openalex.org/W6653846368","https://openalex.org/W6726088282","https://openalex.org/W6981165577"],"related_works":["https://openalex.org/W1997638723","https://openalex.org/W2547138831","https://openalex.org/W2061580049","https://openalex.org/W2067788074","https://openalex.org/W2183108721","https://openalex.org/W3160617640","https://openalex.org/W2073465494","https://openalex.org/W3169372533","https://openalex.org/W4386401794","https://openalex.org/W1969847908"],"abstract_inverted_index":{"According":[0],"to":[1,37,51,56,72],"theWorld":[2],"Health":[3],"Organization,":[4],"breast":[5],"cancer":[6,13],"is":[7,17,42,70,100],"the":[8,18,27,30,63,128,132,164],"most":[9,31,172],"common":[10],"form":[11,33],"of":[12,22,34,65,93,173],"in":[14,134],"women.":[15],"It":[16],"second":[19],"leading":[20],"cause":[21],"death":[23],"among":[24],"women":[25],"around":[26],"world,":[28],"becoming":[29],"fatal":[32],"cancer.":[35],"However,":[36],"detect":[38],"and":[39,95,112,118,127,148,157,167],"classify":[40],"masses":[41,133],"a":[43,66],"hard":[44],"task":[45],"even":[46],"for":[47,171],"experts.":[48],"Consequently,":[49],"due":[50],"medical":[52],"experience,":[53],"different":[54],"diagnoses":[55],"an":[57],"image":[58,125],"are":[59,122,152],"commonly":[60],"found.":[61],"Therefore,":[62],"use":[64],"computer":[67],"assisted":[68],"diagnosis":[69],"important":[71],"avoid":[73],"misdiagnoses.":[74],"In":[75],"this":[76],"work,":[77],"we":[78],"propose":[79],"Morphological":[80,149],"Extreme":[81,143],"Learning":[82,144],"Machines,":[83],"with":[84],"hidden":[85],"layer":[86],"kernel":[87],"based":[88],"on":[89],"nonlinear":[90],"morphological":[91,162],"operators":[92],"erosion":[94],"dilation.":[96],"The":[97],"proposed":[98,129],"approach":[99],"evaluated":[101,153],"using":[102,146,161],"2.796":[103],"images":[104],"from":[105],"IRMA":[106],"database,":[107],"considering":[108],"fat,":[109],"fibroid,":[110],"dense":[111,114],"extremely":[113],"tissues.":[115],"Zernike":[116],"Moments":[117],"Haralick":[119],"texture":[120],"features":[121],"used":[123],"as":[124],"descriptors":[126],"model":[130],"classifies":[131],"benign,":[135],"malignant":[136],"or":[137],"normal.":[138],"Results":[139],"shows":[140],"comparison":[141],"between":[142],"Machines":[145],"Sigmoid":[147],"Kernel,":[150],"which":[151],"through":[154],"classification":[155,165],"rate":[156,166],"Kappa":[158,168],"index.":[159],"When":[160],"kernels,":[163],"value":[169],"increases":[170],"cases":[174],"analyzed.":[175]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":11},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}