{"id":"https://openalex.org/W4410867573","doi":"https://doi.org/10.1007/s00521-025-11192-8","title":"MSAE-DL: enhancing breast cancer classification through hybrid self-attention integration, feature fusion, and ensemble classification in digital breast tomosynthesis","display_name":"MSAE-DL: enhancing breast cancer classification through hybrid self-attention integration, feature fusion, and ensemble classification in digital breast tomosynthesis","publication_year":2025,"publication_date":"2025-05-29","ids":{"openalex":"https://openalex.org/W4410867573","doi":"https://doi.org/10.1007/s00521-025-11192-8"},"language":"en","primary_location":{"id":"doi:10.1007/s00521-025-11192-8","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s00521-025-11192-8","pdf_url":"https://link.springer.com/content/pdf/10.1007/s00521-025-11192-8.pdf","source":{"id":"https://openalex.org/S147897268","display_name":"Neural Computing and Applications","issn_l":"0941-0643","issn":["0941-0643","1433-3058"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Computing and Applications","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s00521-025-11192-8.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5017618911","display_name":"Alaa M. Adel El-Shazli","orcid":"https://orcid.org/0000-0002-8723-9668"},"institutions":[{"id":"https://openalex.org/I4210086935","display_name":"Arab Academy for Science, Technology, and Maritime Transport","ror":null,"country_code":"EG","type":null,"lineage":["https://openalex.org/I4210086935"]}],"countries":["EG"],"is_corresponding":true,"raw_author_name":"Alaa M. Adel El-Shazli","raw_affiliation_strings":["Arab Academy for Science, Technology and Maritime Transport (AASTMT), Giza, Alexandria, Egypt"],"raw_orcid":"https://orcid.org/0000-0002-8723-9668","affiliations":[{"raw_affiliation_string":"Arab Academy for Science, Technology and Maritime Transport (AASTMT), Giza, Alexandria, Egypt","institution_ids":["https://openalex.org/I4210086935"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110189499","display_name":"Sherin M. Youssef","orcid":null},"institutions":[{"id":"https://openalex.org/I4210086935","display_name":"Arab Academy for Science, Technology, and Maritime Transport","ror":null,"country_code":"EG","type":null,"lineage":["https://openalex.org/I4210086935"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Sherin M. Youssef","raw_affiliation_strings":["Arab Academy for Science, Technology and Maritime Transport (AASTMT), Giza, Alexandria, Egypt"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Arab Academy for Science, Technology and Maritime Transport (AASTMT), Giza, Alexandria, Egypt","institution_ids":["https://openalex.org/I4210086935"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Abdel Hamid Soliman","orcid":null},"institutions":[{"id":"https://openalex.org/I198012923","display_name":"University of Staffordshire","ror":"https://ror.org/00d6k8y35","country_code":"GB","type":"education","lineage":["https://openalex.org/I198012923"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Abdel Hamid Soliman","raw_affiliation_strings":["Staffordshire University, Stoke-on-Trent, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Staffordshire University, Stoke-on-Trent, UK","institution_ids":["https://openalex.org/I198012923"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083300118","display_name":"Claude C. Chibelushi","orcid":"https://orcid.org/0000-0002-1349-1705"},"institutions":[{"id":"https://openalex.org/I4210160154","display_name":"Chemical Semantics (United States)","ror":"https://ror.org/04qca6973","country_code":"US","type":"company","lineage":["https://openalex.org/I4210160154"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Claude Chibelushi","raw_affiliation_strings":["Semantics Ltd, Southampton, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Semantics Ltd, Southampton, UK","institution_ids":["https://openalex.org/I4210160154"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5017618911"],"corresponding_institution_ids":["https://openalex.org/I4210086935"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":{"value":2390,"currency":"EUR","value_usd":2990},"fwci":3.4624,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.92453582,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"37","issue":"20","first_page":"15635","last_page":"15659"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9969000220298767,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.995199978351593,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computational-science-and-engineering","display_name":"Computational Science and Engineering","score":0.8031433820724487},{"id":"https://openalex.org/keywords/breast-cancer","display_name":"Breast cancer","score":0.699026346206665},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6568446755409241},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.608707845211029},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5914997458457947},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5571569204330444},{"id":"https://openalex.org/keywords/digital-breast-tomosynthesis","display_name":"Digital Breast Tomosynthesis","score":0.5202720761299133},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.44475460052490234},{"id":"https://openalex.org/keywords/mammography","display_name":"Mammography","score":0.3864271640777588},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.31011322140693665},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.30008578300476074},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.16757869720458984},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.08180534839630127}],"concepts":[{"id":"https://openalex.org/C68597687","wikidata":"https://www.wikidata.org/wiki/Q362601","display_name":"Computational Science and Engineering","level":2,"score":0.8031433820724487},{"id":"https://openalex.org/C530470458","wikidata":"https://www.wikidata.org/wiki/Q128581","display_name":"Breast cancer","level":3,"score":0.699026346206665},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6568446755409241},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.608707845211029},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5914997458457947},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5571569204330444},{"id":"https://openalex.org/C2909182381","wikidata":"https://www.wikidata.org/wiki/Q7820316","display_name":"Digital Breast Tomosynthesis","level":5,"score":0.5202720761299133},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.44475460052490234},{"id":"https://openalex.org/C2780472235","wikidata":"https://www.wikidata.org/wiki/Q324634","display_name":"Mammography","level":4,"score":0.3864271640777588},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.31011322140693665},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.30008578300476074},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.16757869720458984},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.08180534839630127},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s00521-025-11192-8","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s00521-025-11192-8","pdf_url":"https://link.springer.com/content/pdf/10.1007/s00521-025-11192-8.pdf","source":{"id":"https://openalex.org/S147897268","display_name":"Neural Computing and Applications","issn_l":"0941-0643","issn":["0941-0643","1433-3058"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Computing and Applications","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s00521-025-11192-8","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s00521-025-11192-8","pdf_url":"https://link.springer.com/content/pdf/10.1007/s00521-025-11192-8.pdf","source":{"id":"https://openalex.org/S147897268","display_name":"Neural Computing and Applications","issn_l":"0941-0643","issn":["0941-0643","1433-3058"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Computing and Applications","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320313982","display_name":"Arab Academy for Science, Technology and Maritime Transport","ror":"https://ror.org/0004vyj87"},{"id":"https://openalex.org/F4320321655","display_name":"Science and Technology Development Fund","ror":"https://ror.org/044vr6g03"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4410867573.pdf","grobid_xml":"https://content.openalex.org/works/W4410867573.grobid-xml"},"referenced_works_count":33,"referenced_works":["https://openalex.org/W2054671076","https://openalex.org/W2151570219","https://openalex.org/W2154053567","https://openalex.org/W2565516711","https://openalex.org/W3010741892","https://openalex.org/W3057190731","https://openalex.org/W3130426954","https://openalex.org/W3131944761","https://openalex.org/W3136961553","https://openalex.org/W3178773782","https://openalex.org/W3194777040","https://openalex.org/W3202046580","https://openalex.org/W3206913875","https://openalex.org/W4220660589","https://openalex.org/W4225839343","https://openalex.org/W4226439930","https://openalex.org/W4281699476","https://openalex.org/W4288421360","https://openalex.org/W4306406567","https://openalex.org/W4308407591","https://openalex.org/W4308407632","https://openalex.org/W4320916956","https://openalex.org/W4380324372","https://openalex.org/W4387217077","https://openalex.org/W4389041446","https://openalex.org/W4391649715","https://openalex.org/W4392644451","https://openalex.org/W4393100117","https://openalex.org/W4400526758","https://openalex.org/W4402637119","https://openalex.org/W4403329674","https://openalex.org/W4403689979","https://openalex.org/W6606070153"],"related_works":["https://openalex.org/W1970477251","https://openalex.org/W1514924336","https://openalex.org/W4393232657","https://openalex.org/W2801932203","https://openalex.org/W2002967116","https://openalex.org/W4390638272","https://openalex.org/W2622419930","https://openalex.org/W3091146503","https://openalex.org/W2895170744","https://openalex.org/W4401958832"],"abstract_inverted_index":{"Abstract":[0],"Breast":[1],"cancer":[2],"is":[3,19,50,66,144],"a":[4,52,100,106,139],"significant":[5],"global":[6],"health":[7],"challenge,":[8],"with":[9,105,121],"highest":[10],"rates":[11],"of":[12,24,30,34,45,58,72,75,81,94,123,177,180,184,192],"occurrence":[13],"and":[14,27,49,78,119,146,149,171,182],"mortality":[15],"worldwide.":[16],"Early":[17],"detection":[18,57],"important":[20],"for":[21,90,152],"the":[22,28,31,35,46,56,70,73,76,79,87,91,115,153,190],"improvement":[23],"patient":[25],"outcomes":[26],"reduction":[29],"overall":[32],"burden":[33],"disease.":[36],"Digital":[37],"breast":[38,47,59,77],"tomosynthesis":[39],"(DBT)":[40],"scans":[41,65,167],"offer":[42],"three-dimensional":[43],"images":[44],"tissue":[48],"becoming":[51],"valuable":[53],"tool":[54],"in":[55,164,195],"abnormalities.":[60,83],"However,":[61],"accurately":[62],"classifying":[63,165],"DBT":[64,95,166,197],"challenging":[67],"due":[68],"to":[69],"complexity":[71],"anatomy":[74],"presence":[80],"minor":[82],"This":[84],"study":[85],"introduces":[86],"MSAE-DL":[88],"system":[89,98,160],"multi-class":[92],"classification":[93,109,142,198],"scans.":[96],"The":[97,159,186],"incorporates":[99],"novel":[101,140],"multi-head":[102],"self-attention":[103],"model":[104,118,143],"unique":[107],"ensemble":[108,141],"model.":[110],"Features":[111],"were":[112],"extracted":[113],"from":[114],"Mod_AlexNet":[116],"Self-Attention":[117],"fused":[120],"histogram":[122],"oriented":[124],"gradients":[125],"(HOG)":[126],"descriptors.":[127],"Subsequently,":[128],"feature":[129,135],"vectors":[130],"are":[131],"reduced":[132],"using":[133,156],"three":[134,200],"selection":[136],"models.":[137],"Finally,":[138],"introduced":[145],"fuses":[147],"class":[148],"classifier":[150],"weights":[151],"final":[154],"prediction":[155],"various":[157],"classifiers.":[158],"demonstrates":[161],"optimal":[162],"performance":[163],"into":[168,199],"normal,":[169],"benign,":[170],"malignant":[172],"classes,":[173,202],"achieving":[174],"an":[175],"accuracy":[176],"90.13%,":[178],"precision":[179],"92.77%,":[181],"f1-score":[183],"91.03%.":[185],"experimental":[187],"results":[188],"underscore":[189],"potential":[191],"this":[193],"approach":[194],"enhancing":[196],"different":[201],"rather":[203],"than":[204],"simply":[205],"binary":[206],"classification.":[207]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-13T06:13:01.061226","created_date":"2025-10-10T00:00:00"}
