{"id":"https://openalex.org/W7224945998","doi":"https://doi.org/10.1109/airosip71802.2026.11741523","title":"Hybrid MobileNetV2\u2013ELM Framework for Multiclass Breast Cancer Classification in Digital Breast Tomosynthesis Images","display_name":"Hybrid MobileNetV2\u2013ELM Framework for Multiclass Breast Cancer Classification in Digital Breast Tomosynthesis Images","publication_year":2026,"publication_date":"2026-08-01","ids":{"openalex":"https://openalex.org/W7224945998","doi":"https://doi.org/10.1109/airosip71802.2026.11741523"},"language":"en","primary_location":{"id":"doi:10.1109/airosip71802.2026.11741523","doi":"https://doi.org/10.1109/airosip71802.2026.11741523","is_oa":true,"landing_page_url":"https://doi.org/10.1109/airosip71802.2026.11741523","pdf_url":null,"source":{"id":"https://openalex.org/S7407104883","display_name":"International Conference on Artificial Intelligence, Robotics, Signal and Image Processing (AIRoSIP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 International Conference on Artificial Intelligence Robotics, Signal and Image Processing (AIRoSIP)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1109/airosip71802.2026.11741523","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5123300611","display_name":"Qodri Aziz","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I226567900","display_name":"Muhammadiyah University of Yogyakarta","ror":"https://ror.org/03anrkt33","country_code":"ID","type":"education","lineage":["https://openalex.org/I226567900"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Qodri Aziz","raw_affiliation_strings":["Universitas Muhammadiyah Yogyakarta"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universitas Muhammadiyah Yogyakarta","institution_ids":["https://openalex.org/I226567900"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007729894","display_name":"Slamet Riyadi","orcid":"https://orcid.org/0000-0003-1981-8876","observed_orcids":["https://orcid.org/0000-0003-1981-8876"]},"institutions":[{"id":"https://openalex.org/I226567900","display_name":"Muhammadiyah University of Yogyakarta","ror":"https://ror.org/03anrkt33","country_code":"ID","type":"education","lineage":["https://openalex.org/I226567900"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Slamet Riyadi","raw_affiliation_strings":["Universitas Muhammadiyah Yogyakarta"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universitas Muhammadiyah Yogyakarta","institution_ids":["https://openalex.org/I226567900"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5153714894","display_name":"Khairun Nisa","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I226567900","display_name":"Muhammadiyah University of Yogyakarta","ror":"https://ror.org/03anrkt33","country_code":"ID","type":"education","lineage":["https://openalex.org/I226567900"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Khairun Nisa","raw_affiliation_strings":["Universitas Muhammadiyah Yogyakarta"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universitas Muhammadiyah Yogyakarta","institution_ids":["https://openalex.org/I226567900"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043371978","display_name":"Cahya Damarjati","orcid":"https://orcid.org/0000-0003-4389-6321","observed_orcids":["https://orcid.org/0000-0003-4389-6321"]},"institutions":[{"id":"https://openalex.org/I226567900","display_name":"Muhammadiyah University of Yogyakarta","ror":"https://ror.org/03anrkt33","country_code":"ID","type":"education","lineage":["https://openalex.org/I226567900"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Cahya Damarjati","raw_affiliation_strings":["Universitas Muhammadiyah Yogyakarta"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universitas Muhammadiyah Yogyakarta","institution_ids":["https://openalex.org/I226567900"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078691265","display_name":"Farindira Vesti Rahmasari","orcid":"https://orcid.org/0000-0001-7312-482X","observed_orcids":["https://orcid.org/0000-0001-7312-482X"]},"institutions":[{"id":"https://openalex.org/I226567900","display_name":"Muhammadiyah University of Yogyakarta","ror":"https://ror.org/03anrkt33","country_code":"ID","type":"education","lineage":["https://openalex.org/I226567900"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Farindira Vesti Rahmasari","raw_affiliation_strings":["Universitas Muhammadiyah Yogyakarta"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universitas Muhammadiyah Yogyakarta","institution_ids":["https://openalex.org/I226567900"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088018563","display_name":"Lina Choridah","orcid":"https://orcid.org/0000-0002-0917-9372","observed_orcids":["https://orcid.org/0000-0002-0917-9372"]},"institutions":[{"id":"https://openalex.org/I165230279","display_name":"Universitas Gadjah Mada","ror":"https://ror.org/03ke6d638","country_code":"ID","type":"education","lineage":["https://openalex.org/I165230279"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Lina Choridah","raw_affiliation_strings":["Universitas Gadjah Mada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universitas Gadjah Mada","institution_ids":["https://openalex.org/I165230279"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078983557","display_name":"Shofwatul Uyun","orcid":"https://orcid.org/0000-0002-6704-0248","observed_orcids":["https://orcid.org/0000-0002-6704-0248"]},"institutions":[{"id":"https://openalex.org/I181085462","display_name":"Sunan Kalijaga State Islamic University Yogyakarta","ror":"https://ror.org/00nmvbd84","country_code":"ID","type":"education","lineage":["https://openalex.org/I181085462"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Shofwatul Uyun","raw_affiliation_strings":["Universitas Islam Negeri Sunan Kalijaga"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universitas Islam Negeri Sunan Kalijaga","institution_ids":["https://openalex.org/I181085462"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"135","last_page":"140"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9839000105857849,"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":0.9839000105857849,"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/T11361","display_name":"Digital Radiography and Breast Imaging","score":0.010999999940395355,"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/T12676","display_name":"Machine Learning and ELM","score":0.0007999999797903001,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/digital-breast-tomosynthesis","display_name":"digital breast tomosynthesis","score":0.9509999752044678},{"id":"https://openalex.org/keywords/breast-cancer-classification","display_name":"breast cancer classification","score":0.996999979019165},{"id":"https://openalex.org/keywords/mobilenetv2","display_name":"MobileNetV2","score":0.9819999933242798},{"id":"https://openalex.org/keywords/extreme-learning-machine","display_name":"extreme learning machine","score":0.9739999771118164},{"id":"https://openalex.org/keywords/lightweight-neural-networks","display_name":"lightweight neural networks","score":0.6890000104904175},{"id":"https://openalex.org/keywords/multiclass-image-classification","display_name":"multi-class image classification","score":0.7870000004768372},{"id":"https://openalex.org/keywords/fine-tuning","display_name":"fine-tuning","score":0.8149999976158142},{"id":"https://openalex.org/keywords/breast-cancer-screening","display_name":"breast cancer screening","score":0.4580000042915344},{"id":"https://openalex.org/keywords/volumetric-imaging","display_name":"volumetric imaging","score":0.35100001096725464}],"concepts":[{"id":"https://openalex.org/C530470458","wikidata":"https://www.wikidata.org/wiki/Q128581","display_name":"Breast cancer","level":3,"score":0.5812000036239624},{"id":"https://openalex.org/C2781281974","wikidata":"https://www.wikidata.org/wiki/Q324634","display_name":"Digital mammography","level":5,"score":0.5486999750137329},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5458999872207642},{"id":"https://openalex.org/C2909182381","wikidata":"https://www.wikidata.org/wiki/Q7820316","display_name":"Digital Breast Tomosynthesis","level":5,"score":0.519599974155426},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.4862000048160553},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.45809999108314514},{"id":"https://openalex.org/C2780472235","wikidata":"https://www.wikidata.org/wiki/Q324634","display_name":"Mammography","level":4,"score":0.43700000643730164},{"id":"https://openalex.org/C147454874","wikidata":"https://www.wikidata.org/wiki/Q7820316","display_name":"Tomosynthesis","level":5,"score":0.42660000920295715},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37880000472068787},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3698999881744385},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.3499999940395355},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.3181999921798706},{"id":"https://openalex.org/C19527891","wikidata":"https://www.wikidata.org/wiki/Q1120908","display_name":"Medical physics","level":1,"score":0.3059000074863434},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.28200000524520874},{"id":"https://openalex.org/C2777432617","wikidata":"https://www.wikidata.org/wiki/Q22905905","display_name":"Breast imaging","level":5,"score":0.2599000036716461},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.25780001282691956}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/airosip71802.2026.11741523","doi":"https://doi.org/10.1109/airosip71802.2026.11741523","is_oa":true,"landing_page_url":"https://doi.org/10.1109/airosip71802.2026.11741523","pdf_url":null,"source":{"id":"https://openalex.org/S7407104883","display_name":"International Conference on Artificial Intelligence, Robotics, Signal and Image Processing (AIRoSIP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 International Conference on Artificial Intelligence Robotics, Signal and Image Processing (AIRoSIP)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1109/airosip71802.2026.11741523","doi":"https://doi.org/10.1109/airosip71802.2026.11741523","is_oa":true,"landing_page_url":"https://doi.org/10.1109/airosip71802.2026.11741523","pdf_url":null,"source":{"id":"https://openalex.org/S7407104883","display_name":"International Conference on Artificial Intelligence, Robotics, Signal and Image Processing (AIRoSIP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 International Conference on Artificial Intelligence Robotics, Signal and Image Processing (AIRoSIP)","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.5683000087738037,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320316851","display_name":"KT","ror":"https://ror.org/043n4tt17"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W2946108055","https://openalex.org/W2963163009","https://openalex.org/W3028510802","https://openalex.org/W3132631771","https://openalex.org/W3161085879","https://openalex.org/W3164621419","https://openalex.org/W3169682377","https://openalex.org/W3195237310","https://openalex.org/W3195487931","https://openalex.org/W4312754401","https://openalex.org/W4382133112","https://openalex.org/W4388459526","https://openalex.org/W4393157417","https://openalex.org/W4402128718","https://openalex.org/W4404916232","https://openalex.org/W4412197749","https://openalex.org/W4413045003","https://openalex.org/W7127646927"],"related_works":["https://openalex.org/W7171681259","https://openalex.org/W7204108714","https://openalex.org/W7223223167","https://openalex.org/W7167221980","https://openalex.org/W7156343557","https://openalex.org/W7223663343","https://openalex.org/W7172454045","https://openalex.org/W4294405873","https://openalex.org/W7125594492","https://openalex.org/W7203693182"],"abstract_inverted_index":{"Digital":[0],"Breast":[1],"Tomosynthesis":[2],"(DBT)":[3],"provides":[4],"an":[5],"extensive":[6],"view":[7],"of":[8,19,89,119,124,127,131,157],"breast":[9,12],"tissue":[10],"for":[11,43,163],"cancer":[13],"screening.":[14],"Nevertheless,":[15],"the":[16,116,141,155],"volumetric":[17],"nature":[18],"DBT":[20,45,57,165],"requires":[21],"high":[22],"computational":[23,170],"power":[24],"and":[25,66,78,83,104,129],"memory":[26],"capacity.":[27],"To":[28],"overcome":[29],"this":[30,32],"limitation,":[31],"work":[33],"proposes":[34],"a":[35,87,122],"lightweight":[36,158],"hybrid":[37,159],"MobileNetV2-Extreme":[38],"Learning":[39],"Machine":[40],"(ELM)":[41],"framework":[42],"four-class":[44],"image":[46,50,166],"classification":[47,94,142,167],"using":[48],"two-dimensional":[49],"representation.":[51],"The":[52,68,111,133],"dataset":[53],"comprises":[54],"2,000":[55],"balanced":[56],"images":[58,69],"in":[59],"four":[60],"categories,":[61],"namely":[62],"actionable,":[63],"benign,":[64],"malignant,":[65],"normal.":[67],"were":[70],"resized":[71],"to":[72],"200":[73,75],"x":[74,76],"3":[77],"split":[79],"into":[80],"training,":[81],"validation,":[82],"testing":[84],"data":[85],"with":[86,98,102,109,121],"ratio":[88],"70:15:15.":[90],"We":[91],"studied":[92],"three":[93],"scenarios:":[95],"base":[96],"MobileNetV2":[97,101,106],"softmax,":[99,103],"fine-tuned":[100,105],"feature":[107,161],"extraction":[108],"ELM.":[110],"proposed":[112],"MobileNetV2-ELM":[113],"model":[114],"obtained":[115],"highest":[117],"accuracy":[118],"76.00%":[120],"precision":[123],"75.82%,":[125],"recall":[126],"76.00%,":[128],"F1-score":[130],"75.54%.":[132],"results":[134],"show":[135],"that":[136],"ELM":[137],"can":[138],"slightly":[139],"improve":[140],"performance":[143],"when":[144],"used":[145],"on":[146],"deep":[147,160],"features":[148],"extracted":[149],"from":[150],"MobileNetV2.":[151],"This":[152],"study":[153],"shows":[154],"potential":[156],"learning":[162],"multiclass":[164],"under":[168],"limited":[169],"resources.":[171]},"counts_by_year":[],"updated_date":"2026-11-08T12:12:28.789561","created_date":"2026-10-31T00:00:00"}