{"id":"https://openalex.org/W4386729823","doi":"https://doi.org/10.4114/intartif.vol26iss72pp160-177","title":"An Ensemble Classification Method Based on Deep Neural Networks for Breast Cancer Diagnosis","display_name":"An Ensemble Classification Method Based on Deep Neural Networks for Breast Cancer Diagnosis","publication_year":2023,"publication_date":"2023-09-14","ids":{"openalex":"https://openalex.org/W4386729823","doi":"https://doi.org/10.4114/intartif.vol26iss72pp160-177"},"language":"en","primary_location":{"id":"doi:10.4114/intartif.vol26iss72pp160-177","is_oa":true,"landing_page_url":"http://dx.doi.org/10.4114/intartif.vol26iss72pp160-177","pdf_url":"https://journal.iberamia.org/index.php/intartif/article/download/1064/197","source":{"id":"https://openalex.org/S4210203986","display_name":"INTELIGENCIA ARTIFICIAL","issn_l":"1137-3601","issn":["1137-3601","1988-3064"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310321681","host_organization_name":"Asociaci\u00f3n Espa\u00f1ola para la Inteligencia Artificial","host_organization_lineage":["https://openalex.org/P4310321681"],"host_organization_lineage_names":["Asociaci\u00f3n Espa\u00f1ola para la Inteligencia Artificial"],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Inteligencia Artificial","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://journal.iberamia.org/index.php/intartif/article/download/1064/197","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5086261973","display_name":"Yan Gao","orcid":"https://orcid.org/0000-0002-8426-6724"},"institutions":[{"id":"https://openalex.org/I903994226","display_name":"Xuchang University","ror":"https://ror.org/03k174p87","country_code":"CN","type":"education","lineage":["https://openalex.org/I903994226"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Gao","raw_affiliation_strings":["School of Electrical and Mechanical Engineering, Xuchang University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Mechanical Engineering, Xuchang University, China","institution_ids":["https://openalex.org/I903994226"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084848632","display_name":"Amin Rezaeipanah","orcid":"https://orcid.org/0000-0002-9075-9381"},"institutions":[{"id":"https://openalex.org/I90767664","display_name":"Persian Gulf University","ror":"https://ror.org/03n2mgj60","country_code":"IR","type":"education","lineage":["https://openalex.org/I90767664"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Amin Rezaeipanah","raw_affiliation_strings":["Department of Computer Engineering, Persian Gulf University, Bushehr, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Persian Gulf University, Bushehr, Iran","institution_ids":["https://openalex.org/I90767664"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4759,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.6915502,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"26","issue":"72","first_page":"160","last_page":"177"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9952999949455261,"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/T10862","display_name":"AI in cancer detection","score":0.9952999949455261,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9739999771118164,"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9562000036239624,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/breast-cancer","display_name":"Breast cancer","score":0.6923086643218994},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6784950494766235},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6709623336791992},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6243912577629089},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5580998063087463},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4955376386642456},{"id":"https://openalex.org/keywords/medical-imaging","display_name":"Medical imaging","score":0.46439462900161743},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4568423330783844},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.416381299495697},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3858816921710968},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.34835630655288696},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.2576662302017212}],"concepts":[{"id":"https://openalex.org/C530470458","wikidata":"https://www.wikidata.org/wiki/Q128581","display_name":"Breast cancer","level":3,"score":0.6923086643218994},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6784950494766235},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6709623336791992},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6243912577629089},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5580998063087463},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4955376386642456},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.46439462900161743},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4568423330783844},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.416381299495697},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3858816921710968},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.34835630655288696},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.2576662302017212},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.4114/intartif.vol26iss72pp160-177","is_oa":true,"landing_page_url":"http://dx.doi.org/10.4114/intartif.vol26iss72pp160-177","pdf_url":"https://journal.iberamia.org/index.php/intartif/article/download/1064/197","source":{"id":"https://openalex.org/S4210203986","display_name":"INTELIGENCIA ARTIFICIAL","issn_l":"1137-3601","issn":["1137-3601","1988-3064"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310321681","host_organization_name":"Asociaci\u00f3n Espa\u00f1ola para la Inteligencia Artificial","host_organization_lineage":["https://openalex.org/P4310321681"],"host_organization_lineage_names":["Asociaci\u00f3n Espa\u00f1ola para la Inteligencia Artificial"],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Inteligencia Artificial","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:0cdeec0097d849a990af89e63e1489b1","is_oa":true,"landing_page_url":"https://doaj.org/article/0cdeec0097d849a990af89e63e1489b1","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Inteligencia Artificial, Vol 26, Iss 72 (2023)","raw_type":"article"},{"id":"pmh:oai:doaj.org/article:609e28ee957140a7a82373436800db5f","is_oa":true,"landing_page_url":"https://doaj.org/article/609e28ee957140a7a82373436800db5f","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Inteligencia Artificial, Vol 26, Iss 72 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.4114/intartif.vol26iss72pp160-177","is_oa":true,"landing_page_url":"http://dx.doi.org/10.4114/intartif.vol26iss72pp160-177","pdf_url":"https://journal.iberamia.org/index.php/intartif/article/download/1064/197","source":{"id":"https://openalex.org/S4210203986","display_name":"INTELIGENCIA ARTIFICIAL","issn_l":"1137-3601","issn":["1137-3601","1988-3064"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310321681","host_organization_name":"Asociaci\u00f3n Espa\u00f1ola para la Inteligencia Artificial","host_organization_lineage":["https://openalex.org/P4310321681"],"host_organization_lineage_names":["Asociaci\u00f3n Espa\u00f1ola para la Inteligencia Artificial"],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Inteligencia Artificial","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.7900000214576721}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4386729823.pdf"},"referenced_works_count":43,"referenced_works":["https://openalex.org/W2066828760","https://openalex.org/W2080202676","https://openalex.org/W2206242981","https://openalex.org/W2725008604","https://openalex.org/W2946053491","https://openalex.org/W2969790209","https://openalex.org/W2974133270","https://openalex.org/W2995276890","https://openalex.org/W3003199121","https://openalex.org/W3011730388","https://openalex.org/W3020996329","https://openalex.org/W3047988527","https://openalex.org/W3053183954","https://openalex.org/W3089011870","https://openalex.org/W3168569448","https://openalex.org/W3184601158","https://openalex.org/W4200075411","https://openalex.org/W4200166673","https://openalex.org/W4214672868","https://openalex.org/W4226113632","https://openalex.org/W4229750588","https://openalex.org/W4230173360","https://openalex.org/W4242735564","https://openalex.org/W4281558244","https://openalex.org/W4281647278","https://openalex.org/W4281886197","https://openalex.org/W4283579831","https://openalex.org/W4283717319","https://openalex.org/W4284712243","https://openalex.org/W4284960100","https://openalex.org/W4285026391","https://openalex.org/W4285411788","https://openalex.org/W4293203059","https://openalex.org/W4296698531","https://openalex.org/W4313856487","https://openalex.org/W4322102674","https://openalex.org/W4361279683","https://openalex.org/W4366828305","https://openalex.org/W4367663227","https://openalex.org/W4372194739","https://openalex.org/W4375948313","https://openalex.org/W4376273023","https://openalex.org/W4377079873"],"related_works":["https://openalex.org/W4293226380","https://openalex.org/W4313906399","https://openalex.org/W4321487865","https://openalex.org/W2811106690","https://openalex.org/W4239306820","https://openalex.org/W2947043951","https://openalex.org/W2318112981","https://openalex.org/W4312417841","https://openalex.org/W4225147082","https://openalex.org/W4323287533"],"abstract_inverted_index":{"Advances":[0],"in":[1,7,62,122,162,189],"technology":[2],"have":[3,16],"led":[4],"to":[5,46,64,101,135,146,159,165,185],"advances":[6],"breast":[8,26,106,187],"cancer":[9,27,188],"screening":[10],"by":[11,92,114],"detecting":[12],"symptoms":[13],"that":[14,155],"doctors":[15],"overlooked.":[17],"In":[18],"this":[19,156],"paper,":[20],"an":[21,93],"automatic":[22],"detection":[23],"system":[24],"for":[25,131,142],"cases":[28,104,111],"based":[29],"on":[30,173],"Internet":[31],"of":[32,118],"Things":[33],"(IoT)":[34],"is":[35],"proposed.":[36],"First,":[37],"using":[38,115],"IoT":[39],"technology,":[40],"direct":[41],"medical":[42,56,68,166,175,183],"images":[43,69,133,144],"are":[44,90,99],"sent":[45],"the":[47,51,127,171,174],"data":[48],"repository":[49],"after":[50],"suspicious":[52],"person's":[53],"visit":[54],"through":[55],"equipment":[57],"equipped":[58],"with":[59,105,112,138,149],"IoT.":[60],"Then,":[61],"order":[63],"help":[65],"radiologists,":[66],"interpret":[67],"as":[70,72],"best":[71,128],"possible,":[73],"we":[74],"use":[75],"four":[76],"pre-trained":[77],"convolutional":[78],"neural":[79],"network":[80],"models":[81,89,98],"including":[82],"InceptionResNetV2,":[83],"InceptionV3,":[84],"VGG19":[85],"and":[86,110,120,141,168,182],"ResNet152.":[87],"These":[88],"combined":[91],"ensemble":[94],"classifier.":[95],"Also,":[96],"these":[97],"used":[100],"accurately":[102],"predict":[103],"cancer,":[107],"healthy":[108],"people,":[109],"pneumonia":[113],"two":[116],"datasets":[117],"X-RAY":[119,143],"CT-scan":[121,132],"a":[123,160],"three-class":[124],"classification.":[125],"Finally,":[126],"result":[129],"obtained":[130],"belongs":[134,145],"InceptionResNetV2":[136],"architecture":[137,148],"99.36%":[139],"accuracy":[140],"InceptionV3":[147],"96.94%":[150],"accuracy.":[151],"The":[152],"results":[153],"show":[154],"method":[157],"leads":[158],"reduction":[161],"daily":[163],"visits":[164],"centers":[167],"thus":[169],"reduces":[170],"pressure":[172],"care":[176],"system.":[177],"It":[178],"also":[179],"helps":[180],"radiologists":[181],"staff":[184],"detect":[186],"its":[190],"early":[191],"stages.":[192]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}