{"id":"https://openalex.org/W4416136937","doi":"https://doi.org/10.1109/ipta66025.2025.11222020","title":"Beyond Static Fusion: A Mixture-of-Experts Framework for Multimodal Breast Cancer Classification","display_name":"Beyond Static Fusion: A Mixture-of-Experts Framework for Multimodal Breast Cancer Classification","publication_year":2025,"publication_date":"2025-10-13","ids":{"openalex":"https://openalex.org/W4416136937","doi":"https://doi.org/10.1109/ipta66025.2025.11222020"},"language":null,"primary_location":{"id":"doi:10.1109/ipta66025.2025.11222020","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipta66025.2025.11222020","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 Fourteenth International Conference on Image Processing, Theory, Tools &amp;amp; Applications (IPTA)","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/A5099380910","display_name":"Faseela Abdullakutty","orcid":null},"institutions":[{"id":"https://openalex.org/I60342839","display_name":"Qatar University","ror":"https://ror.org/00yhnba62","country_code":"QA","type":"education","lineage":["https://openalex.org/I60342839"]}],"countries":["QA"],"is_corresponding":false,"raw_author_name":"Faseela Abdullakutty","raw_affiliation_strings":["Qatar University,Dept. of Computer Science &#x0026; Engg,Doha,Qatar"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Qatar University,Dept. of Computer Science &#x0026; Engg,Doha,Qatar","institution_ids":["https://openalex.org/I60342839"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015693826","display_name":"Younes Akbari","orcid":"https://orcid.org/0000-0001-7175-4326"},"institutions":[{"id":"https://openalex.org/I60342839","display_name":"Qatar University","ror":"https://ror.org/00yhnba62","country_code":"QA","type":"education","lineage":["https://openalex.org/I60342839"]}],"countries":["QA"],"is_corresponding":false,"raw_author_name":"Younes Akbari","raw_affiliation_strings":["Qatar University,Dept. of Computer Science &#x0026; Engg,Doha,Qatar"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Qatar University,Dept. of Computer Science &#x0026; Engg,Doha,Qatar","institution_ids":["https://openalex.org/I60342839"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017608892","display_name":"Somaya Al-M\u00e1adeed","orcid":"https://orcid.org/0000-0002-0241-2899"},"institutions":[{"id":"https://openalex.org/I60342839","display_name":"Qatar University","ror":"https://ror.org/00yhnba62","country_code":"QA","type":"education","lineage":["https://openalex.org/I60342839"]}],"countries":["QA"],"is_corresponding":false,"raw_author_name":"Somaya Al-Maadeed","raw_affiliation_strings":["Qatar University,Dept. of Computer Science &#x0026; Engg,Doha,Qatar"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Qatar University,Dept. of Computer Science &#x0026; Engg,Doha,Qatar","institution_ids":["https://openalex.org/I60342839"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083586487","display_name":"Rafif Al-Saady","orcid":null},"institutions":[{"id":"https://openalex.org/I60342839","display_name":"Qatar University","ror":"https://ror.org/00yhnba62","country_code":"QA","type":"education","lineage":["https://openalex.org/I60342839"]}],"countries":["QA"],"is_corresponding":false,"raw_author_name":"Rafif Al Saady","raw_affiliation_strings":["College of Medicine, QU Health, Qatar University,Doha,Qatar"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Medicine, QU Health, Qatar University,Doha,Qatar","institution_ids":["https://openalex.org/I60342839"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000291184","display_name":"Hadi Mohamad Abu Rasheed","orcid":"https://orcid.org/0000-0002-7705-2170"},"institutions":[{"id":"https://openalex.org/I4210125301","display_name":"Health Awareness (United States)","ror":"https://ror.org/03cc5yw72","country_code":"US","type":"company","lineage":["https://openalex.org/I4210125301"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hadi Mohamad Abu Rasheed","raw_affiliation_strings":["Qatar University,Cancer Awareness &#x0026; Professional Development Dept.,Doha,Qatar"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Qatar University,Cancer Awareness &#x0026; Professional Development Dept.,Doha,Qatar","institution_ids":["https://openalex.org/I4210125301"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.673,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.87381635,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9760000109672546,"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":0.9760000109672546,"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/T11134","display_name":"Breast Lesions and Carcinomas","score":0.0035000001080334187,"subfield":{"id":"https://openalex.org/subfields/2734","display_name":"Pathology and Forensic 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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.002099999925121665,"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/modality","display_name":"Modality (human\u2013computer interaction)","score":0.654699981212616},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.5849999785423279},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5755000114440918},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.567799985408783},{"id":"https://openalex.org/keywords/modalities","display_name":"Modalities","score":0.4871000051498413},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4846999943256378},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.484499990940094},{"id":"https://openalex.org/keywords/perceptron","display_name":"Perceptron","score":0.46369999647140503},{"id":"https://openalex.org/keywords/breast-cancer","display_name":"Breast cancer","score":0.4562999904155731}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.725600004196167},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6773999929428101},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.654699981212616},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.5849999785423279},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5755000114440918},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.567799985408783},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5245000123977661},{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.4871000051498413},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4846999943256378},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.484499990940094},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.46369999647140503},{"id":"https://openalex.org/C530470458","wikidata":"https://www.wikidata.org/wiki/Q128581","display_name":"Breast cancer","level":3,"score":0.4562999904155731},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4487999975681305},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4178999960422516},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.3402999937534332},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.321399986743927},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.31630000472068787},{"id":"https://openalex.org/C179717631","wikidata":"https://www.wikidata.org/wiki/Q2991667","display_name":"Multilayer perceptron","level":3,"score":0.3138999938964844},{"id":"https://openalex.org/C534262118","wikidata":"https://www.wikidata.org/wiki/Q177719","display_name":"Medical diagnosis","level":2,"score":0.3109999895095825},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.3052999973297119},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.2922999858856201},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2879999876022339},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.28690001368522644},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.2784999907016754},{"id":"https://openalex.org/C193415008","wikidata":"https://www.wikidata.org/wiki/Q639681","display_name":"Network architecture","level":2,"score":0.2727000117301941},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.2653999924659729},{"id":"https://openalex.org/C2780472235","wikidata":"https://www.wikidata.org/wiki/Q324634","display_name":"Mammography","level":4,"score":0.260699987411499},{"id":"https://openalex.org/C2778559731","wikidata":"https://www.wikidata.org/wiki/Q23808793","display_name":"Radiomics","level":2,"score":0.2515999972820282}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ipta66025.2025.11222020","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipta66025.2025.11222020","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 Fourteenth International Conference on Image Processing, Theory, Tools &amp;amp; Applications (IPTA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W2194775991","https://openalex.org/W2937669142","https://openalex.org/W2964378789","https://openalex.org/W3048101421","https://openalex.org/W3080637587","https://openalex.org/W3156264695","https://openalex.org/W3178620276","https://openalex.org/W3210070020","https://openalex.org/W4297134224","https://openalex.org/W4309710589","https://openalex.org/W4312946813","https://openalex.org/W4385496656","https://openalex.org/W4390874259","https://openalex.org/W4400102178","https://openalex.org/W4402770349","https://openalex.org/W4403003860","https://openalex.org/W4404781870","https://openalex.org/W4404783367","https://openalex.org/W4408867784","https://openalex.org/W4415797268","https://openalex.org/W4415958678"],"related_works":[],"abstract_inverted_index":{"Accurate":[0],"breast":[1,48],"cancer":[2,49],"diagnosis":[3],"requires":[4],"integrating":[5],"heterogeneous":[6],"data":[7,71],"sources":[8],"such":[9],"as":[10],"histopathology":[11,99],"images":[12],"and":[13,65,100,124],"structured":[14],"clinical":[15,70,127],"records.":[16],"However,":[17],"traditional":[18],"deep":[19],"learning":[20],"models":[21],"often":[22],"struggle":[23],"to":[24,29,81,89],"effectively":[25],"combine":[26,82],"modalities":[27],"due":[28],"static":[30],"fusion":[31,87],"strategies":[32],"that":[33],"ignore":[34],"case-specific":[35],"modality":[36,118],"relevance.":[37],"This":[38],"paper":[39],"introduces":[40],"an":[41],"adaptive":[42,117],"Mixture-of-Experts":[43],"(MoE)":[44],"framework":[45],"for":[46,61,69,126],"multi-modal":[47],"classification.":[50],"The":[51],"architecture":[52],"comprises":[53],"two":[54],"specialized":[55],"experts:":[56],"a":[57,66,95],"convolutional":[58],"neural":[59],"network":[60,76],"image":[62],"feature":[63],"extraction":[64],"multi-layer":[67],"perceptron":[68],"processing.":[72],"A":[73],"learnable":[74],"gating":[75],"dynamically":[77],"computes":[78],"instance-specific":[79],"weights":[80],"expert":[83],"outputs,":[84],"enabling":[85],"context-aware":[86],"tailored":[88],"individual":[90],"patient":[91],"profiles.":[92],"Evaluated":[93],"on":[94],"real-world":[96],"dataset":[97],"with":[98],"electronic":[101],"medical":[102],"records,":[103],"the":[104,114],"proposed":[105],"model":[106],"achieves":[107],"state-of-the-art":[108],"classification":[109],"accuracy.":[110],"Experimental":[111],"results":[112],"demonstrate":[113],"effectiveness":[115],"of":[116],"weighting":[119],"in":[120],"enhancing":[121],"diagnostic":[122],"precision":[123],"robustness":[125],"decision":[128],"support.":[129]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-11-10T00:00:00"}
