{"id":"https://openalex.org/W4417083374","doi":"https://doi.org/10.1016/j.bspc.2025.109319","title":"Enhancing breast cancer diagnosis with ResNet50 and Salp Swarm-Based feature reduction on BreakHis dataset","display_name":"Enhancing breast cancer diagnosis with ResNet50 and Salp Swarm-Based feature reduction on BreakHis dataset","publication_year":2025,"publication_date":"2025-12-06","ids":{"openalex":"https://openalex.org/W4417083374","doi":"https://doi.org/10.1016/j.bspc.2025.109319"},"language":"en","primary_location":{"id":"doi:10.1016/j.bspc.2025.109319","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.bspc.2025.109319","pdf_url":null,"source":{"id":"https://openalex.org/S8427965","display_name":"Biomedical Signal Processing and Control","issn_l":"1746-8094","issn":["1746-8094","1746-8108"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Biomedical Signal Processing and Control","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1016/j.bspc.2025.109319","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5012113233","display_name":"Hiba Alzoubi","orcid":null},"institutions":[{"id":"https://openalex.org/I85507684","display_name":"Yarmouk University","ror":"https://ror.org/004mbaj56","country_code":"JO","type":"education","lineage":["https://openalex.org/I85507684"]}],"countries":["JO"],"is_corresponding":false,"raw_author_name":"Hiba Alzoubi","raw_affiliation_strings":["Department of Basic Pathological Sciences, Faculty of Medicine, Yarmouk University, Irbid 21163, Jordan"],"affiliations":[{"raw_affiliation_string":"Department of Basic Pathological Sciences, Faculty of Medicine, Yarmouk University, Irbid 21163, Jordan","institution_ids":["https://openalex.org/I85507684"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114517176","display_name":"Mohammad Amin","orcid":"https://orcid.org/0009-0009-9044-8178"},"institutions":[{"id":"https://openalex.org/I85507684","display_name":"Yarmouk University","ror":"https://ror.org/004mbaj56","country_code":"JO","type":"education","lineage":["https://openalex.org/I85507684"]}],"countries":["JO"],"is_corresponding":false,"raw_author_name":"Mohammad Amin","raw_affiliation_strings":["Computer Science Department, Faculty of Information Technology and Computer Sciences, Yarmouk University, Irbid 21163, Jordan"],"affiliations":[{"raw_affiliation_string":"Computer Science Department, Faculty of Information Technology and Computer Sciences, Yarmouk University, Irbid 21163, Jordan","institution_ids":["https://openalex.org/I85507684"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050454526","display_name":"Ala M. Aljehani","orcid":"https://orcid.org/0009-0000-3581-7123"},"institutions":[{"id":"https://openalex.org/I240666556","display_name":"Imam Mohammad ibn Saud Islamic University","ror":"https://ror.org/05gxjyb39","country_code":"SA","type":"education","lineage":["https://openalex.org/I240666556"]}],"countries":["SA"],"is_corresponding":true,"raw_author_name":"Ala Meshal Aljehani","raw_affiliation_strings":["Department of Pathology, College of Medicine, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh 13318, Saudi Arabia"],"affiliations":[{"raw_affiliation_string":"Department of Pathology, College of Medicine, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh 13318, Saudi Arabia","institution_ids":["https://openalex.org/I240666556"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115798973","display_name":"Salem Alhatamleh","orcid":null},"institutions":[{"id":"https://openalex.org/I85507684","display_name":"Yarmouk University","ror":"https://ror.org/004mbaj56","country_code":"JO","type":"education","lineage":["https://openalex.org/I85507684"]}],"countries":["JO"],"is_corresponding":false,"raw_author_name":"Salem Alhatamleh","raw_affiliation_strings":["Computer Science Department, Faculty of Information Technology and Computer Sciences, Yarmouk University, Irbid 21163, Jordan"],"affiliations":[{"raw_affiliation_string":"Computer Science Department, Faculty of Information Technology and Computer Sciences, Yarmouk University, Irbid 21163, Jordan","institution_ids":["https://openalex.org/I85507684"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115707326","display_name":"Rola Madain","orcid":"https://orcid.org/0009-0005-7674-895X"},"institutions":[{"id":"https://openalex.org/I156983542","display_name":"Jordan University of Science and Technology","ror":"https://ror.org/03y8mtb59","country_code":"JO","type":"education","lineage":["https://openalex.org/I156983542"]}],"countries":["JO"],"is_corresponding":false,"raw_author_name":"Rola Madain","raw_affiliation_strings":["Department of Obstetrics and Gynecology, Faculty of Medicine, Jordan University of Science and Technology, Irbid 211633, Jordan"],"affiliations":[{"raw_affiliation_string":"Department of Obstetrics and Gynecology, Faculty of Medicine, Jordan University of Science and Technology, Irbid 211633, Jordan","institution_ids":["https://openalex.org/I156983542"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029331348","display_name":"Saba Madae\u2019en","orcid":"https://orcid.org/0000-0003-2370-4097"},"institutions":[{"id":"https://openalex.org/I157392197","display_name":"Hashemite University","ror":"https://ror.org/04a1r5z94","country_code":"JO","type":"education","lineage":["https://openalex.org/I157392197"]}],"countries":["JO"],"is_corresponding":false,"raw_author_name":"Saba Madae\u2019en","raw_affiliation_strings":["Department of Clinical Pharmacy and Pharmacy Practice, Faculty of Pharmaceutical Sciences, The Hashemite University, Zarqa 13133, Jordan"],"affiliations":[{"raw_affiliation_string":"Department of Clinical Pharmacy and Pharmacy Practice, Faculty of Pharmaceutical Sciences, The Hashemite University, Zarqa 13133, Jordan","institution_ids":["https://openalex.org/I157392197"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072111465","display_name":"Hashem Abu Serhan","orcid":"https://orcid.org/0000-0002-2953-2188"},"institutions":[{"id":"https://openalex.org/I49828101","display_name":"Hamad Medical Corporation","ror":"https://ror.org/02zwb6n98","country_code":"QA","type":"nonprofit","lineage":["https://openalex.org/I49828101"]}],"countries":["QA"],"is_corresponding":false,"raw_author_name":"Hashem Abu Serhan","raw_affiliation_strings":["Department of Ophthalmology, Hamad Medical Corporation, Doha 3050, Qatar"],"affiliations":[{"raw_affiliation_string":"Department of Ophthalmology, Hamad Medical Corporation, Doha 3050, Qatar","institution_ids":["https://openalex.org/I49828101"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027316488","display_name":"Alhanouf Alomani","orcid":null},"institutions":[{"id":"https://openalex.org/I240666556","display_name":"Imam Mohammad ibn Saud Islamic University","ror":"https://ror.org/05gxjyb39","country_code":"SA","type":"education","lineage":["https://openalex.org/I240666556"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Alhanouf A. Alomani","raw_affiliation_strings":["Department of Pathology, College of Medicine, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh 13318, Saudi Arabia"],"affiliations":[{"raw_affiliation_string":"Department of Pathology, College of Medicine, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh 13318, Saudi Arabia","institution_ids":["https://openalex.org/I240666556"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5050454526"],"corresponding_institution_ids":["https://openalex.org/I240666556"],"apc_list":{"value":2420,"currency":"USD","value_usd":2420},"apc_paid":{"value":2420,"currency":"USD","value_usd":2420},"fwci":2.3568,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.92048632,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"114","issue":null,"first_page":"109319","last_page":"109319"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9872999787330627,"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":0.9872999787330627,"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":0.0026000000070780516,"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/T12874","display_name":"Digital Imaging for Blood Diseases","score":0.0020000000949949026,"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/breast-cancer","display_name":"Breast cancer","score":0.6082000136375427},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5949000120162964},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5580999851226807},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.5151000022888184},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.4912000000476837},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.47620001435279846},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4237000048160553},{"id":"https://openalex.org/keywords/digital-pathology","display_name":"Digital pathology","score":0.4092000126838684}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7723000049591064},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.690500020980835},{"id":"https://openalex.org/C530470458","wikidata":"https://www.wikidata.org/wiki/Q128581","display_name":"Breast cancer","level":3,"score":0.6082000136375427},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5949000120162964},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5580999851226807},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.5151000022888184},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.4912000000476837},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.47620001435279846},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.44190001487731934},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4237000048160553},{"id":"https://openalex.org/C2777522853","wikidata":"https://www.wikidata.org/wiki/Q5276128","display_name":"Digital pathology","level":2,"score":0.4092000126838684},{"id":"https://openalex.org/C2778476105","wikidata":"https://www.wikidata.org/wiki/Q628539","display_name":"Workload","level":2,"score":0.366100013256073},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.3506999909877777},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.3393000066280365},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.3314000070095062},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.2937999963760376},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.2921999990940094},{"id":"https://openalex.org/C2780472235","wikidata":"https://www.wikidata.org/wiki/Q324634","display_name":"Mammography","level":4,"score":0.2883000075817108},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.274399995803833},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2676999866962433},{"id":"https://openalex.org/C2777432617","wikidata":"https://www.wikidata.org/wiki/Q22905905","display_name":"Breast imaging","level":5,"score":0.26010000705718994},{"id":"https://openalex.org/C2989236134","wikidata":"https://www.wikidata.org/wiki/Q31207","display_name":"Patient care","level":2,"score":0.25769999623298645},{"id":"https://openalex.org/C40993552","wikidata":"https://www.wikidata.org/wiki/Q514654","display_name":"Gold standard (test)","level":2,"score":0.2563000023365021}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1016/j.bspc.2025.109319","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.bspc.2025.109319","pdf_url":null,"source":{"id":"https://openalex.org/S8427965","display_name":"Biomedical Signal Processing and Control","issn_l":"1746-8094","issn":["1746-8094","1746-8108"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Biomedical Signal Processing and Control","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1016/j.bspc.2025.109319","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.bspc.2025.109319","pdf_url":null,"source":{"id":"https://openalex.org/S8427965","display_name":"Biomedical Signal Processing and Control","issn_l":"1746-8094","issn":["1746-8094","1746-8108"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Biomedical Signal Processing and Control","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4737514794","display_name":null,"funder_award_id":"IMSIU-DDRSP2501","funder_id":"https://openalex.org/F4320321420","funder_display_name":"Imam Mohammed Ibn Saud Islamic University"}],"funders":[{"id":"https://openalex.org/F2666706692","display_name":"Deanship of Scientific Research, Imam Mohammed Ibn Saud Islamic University","ror":null},{"id":"https://openalex.org/F4320321420","display_name":"Imam Mohammed Ibn Saud Islamic University","ror":"https://ror.org/05gxjyb39"},{"id":"https://openalex.org/F4320325415","display_name":"Al-Imam Muhammad Ibn Saud Islamic University","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W1964940342","https://openalex.org/W1965451568","https://openalex.org/W1980570292","https://openalex.org/W2017575625","https://openalex.org/W2036374319","https://openalex.org/W2088252378","https://openalex.org/W2125283600","https://openalex.org/W2155632266","https://openalex.org/W2901565516","https://openalex.org/W2901743512","https://openalex.org/W2913559493","https://openalex.org/W2990723369","https://openalex.org/W2998175747","https://openalex.org/W3017001025","https://openalex.org/W3035161717","https://openalex.org/W3081442134","https://openalex.org/W3128102181","https://openalex.org/W4287660544","https://openalex.org/W4307633512","https://openalex.org/W4386912972","https://openalex.org/W4389262417","https://openalex.org/W4389613736","https://openalex.org/W4391507239","https://openalex.org/W4394564243","https://openalex.org/W4394610552","https://openalex.org/W4396680671","https://openalex.org/W4399184077","https://openalex.org/W4399331922","https://openalex.org/W4399557997","https://openalex.org/W4399673668","https://openalex.org/W4400201371","https://openalex.org/W4401442068","https://openalex.org/W4403741694","https://openalex.org/W4404455385","https://openalex.org/W4405677965","https://openalex.org/W4405907091","https://openalex.org/W4406188143","https://openalex.org/W4406249991","https://openalex.org/W4406405003"],"related_works":[],"abstract_inverted_index":{"Histological":[0],"analysis":[1],"remains":[2],"the":[3,17,26,42,103,119,131,137,146,149,189,192,197,223,229,246,257,263,292],"gold":[4],"standard":[5],"for":[6,40,79,124,266,298],"breast":[7,64,84,252],"cancer":[8,85],"diagnosis,":[9],"with":[10,33,288],"patient":[11,111,304],"survival":[12,305],"rates":[13],"depending":[14],"heavily":[15],"on":[16,105,222],"precise":[18,249],"interpretation":[19],"of":[20,28,46,83,148,237,251],"pathological":[21],"images.":[22,239],"In":[23],"recent":[24],"years,":[25],"integration":[27],"computer-aided":[29],"diagnosis":[30],"(CAD)":[31],"systems":[32,51],"pathology":[34],"imaging":[35],"has":[36],"shown":[37],"great":[38],"potential":[39],"improving":[41,299],"accuracy":[43],"and":[44,62,75,99,113,173,219,248,303],"efficiency":[45],"physicians\u2019":[47],"assessments.":[48],"Such":[49],"automated":[50,74],"not":[52],"only":[53],"reduce":[54,145,262],"diagnostic":[55,97,300],"time":[56,264],"but":[57],"also":[58],"help":[59],"in":[60,130,273],"detecting":[61],"monitoring":[63],"tumors":[65,253],"more":[66],"effectively.":[67],"This":[68,269],"study":[69],"aims":[70],"to":[71,95,109,144,158,185],"develop":[72],"an":[73,295],"highly":[76],"accurate":[77],"system":[78,293],"classifying":[80],"histological":[81,128,238,255],"images":[82,129],"using":[86],"advanced":[87],"artificial":[88],"intelligence":[89],"techniques.":[90],"The":[91,115,240],"ultimate":[92],"goal":[93],"is":[94,142,179,271],"enhance":[96],"speed":[98],"reliability":[100],"while":[101],"reducing":[102],"workload":[104],"physicians,":[106],"thereby":[107],"contributing":[108],"improved":[110],"care":[112],"outcomes.":[114,281],"proposed":[116],"approach":[117,259],"employs":[118],"ResNet50":[120],"deep":[121,284],"learning":[122,162],"architecture":[123],"feature":[125,286],"extraction":[126,287],"from":[127,254],"BreakHis":[132],"dataset.":[133,225],"To":[134],"optimize":[135],"performance,":[136],"Salp":[138],"Swarm":[139],"Algorithm":[140],"(SSA)":[141],"applied":[143],"dimensionality":[147,290],"extracted":[150],"features.":[151],"These":[152,226],"optimized":[153],"features":[154],"are":[155],"then":[156],"used":[157],"train":[159],"four":[160],"machine":[161],"classifiers:":[163],"Decision":[164],"Trees":[165],"(DT),":[166],"K-Nearest":[167],"Neighbors":[168],"(KNN),":[169],"Random":[170],"Forests":[171],"(RF),":[172],"Support":[174],"Vector":[175],"Machines":[176],"(SVM).":[177],"Performance":[178],"evaluated":[180],"across":[181,234],"different":[182],"image":[183],"magnifications":[184,236],"ensure":[186],"robustness.":[187],"Among":[188],"tested":[190],"models,":[191],"SVM":[193],"classifier":[194],"consistently":[195],"achieved":[196],"highest":[198],"accuracy,":[199],"recording":[200],"96.35":[201],"%":[202,208,212,216,221],"at":[203,209,213,217],"40":[204],"\u00d7":[205],"magnification,":[206],"94.10":[207],"100\u00d7,":[210],"96.40":[211],"200\u00d7,":[214],"96.09":[215],"400\u00d7,":[218],"96.45":[220],"aggregated":[224],"results":[227,241],"demonstrate":[228],"model\u2019s":[230],"strong":[231],"generalization":[232],"capabilities":[233],"varying":[235],"show":[242],"that":[243],"by":[244],"facilitating":[245],"quick":[247],"identification":[250],"images,":[256],"suggested":[258],"can":[260],"significantly":[261],"required":[265],"manual":[267],"diagnosis.":[268],"capability":[270],"critical":[272],"oncology,":[274],"where":[275],"timely":[276],"detection":[277],"directly":[278],"influences":[279],"treatment":[280],"By":[282],"combining":[283],"learning-based":[285],"optimization-driven":[289],"reduction,":[291],"offers":[294],"effective":[296],"solution":[297],"precision,":[301],"efficiency,":[302],"rates.":[306]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-12-06T00:00:00"}