{"id":"https://openalex.org/W4293691233","doi":"https://doi.org/10.1109/hsi55341.2022.9869477","title":"Attention-based Interactions Network for Breast Tumor Classification with Multi-modality Images","display_name":"Attention-based Interactions Network for Breast Tumor Classification with Multi-modality Images","publication_year":2022,"publication_date":"2022-07-28","ids":{"openalex":"https://openalex.org/W4293691233","doi":"https://doi.org/10.1109/hsi55341.2022.9869477"},"language":"en","primary_location":{"id":"doi:10.1109/hsi55341.2022.9869477","is_oa":false,"landing_page_url":"https://doi.org/10.1109/hsi55341.2022.9869477","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 15th International Conference on Human System Interaction (HSI)","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/A5101626120","display_name":"Xiao Yang","orcid":"https://orcid.org/0000-0001-9502-9962"},"institutions":[{"id":"https://openalex.org/I44445938","display_name":"Shandong Jianzhu University","ror":"https://ror.org/01gbfax37","country_code":"CN","type":"education","lineage":["https://openalex.org/I44445938"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao Yang","raw_affiliation_strings":["Shandong Jianzhu University,School of Computer Science and Technology,Jinan,China","School of Computer Science and Technology, Shandong Jianzhu University, Jinan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shandong Jianzhu University,School of Computer Science and Technology,Jinan,China","institution_ids":["https://openalex.org/I44445938"]},{"raw_affiliation_string":"School of Computer Science and Technology, Shandong Jianzhu University, Jinan, China","institution_ids":["https://openalex.org/I44445938"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076976404","display_name":"Xiaoming Xi","orcid":"https://orcid.org/0000-0002-0415-3608"},"institutions":[{"id":"https://openalex.org/I44445938","display_name":"Shandong Jianzhu University","ror":"https://ror.org/01gbfax37","country_code":"CN","type":"education","lineage":["https://openalex.org/I44445938"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoming Xi","raw_affiliation_strings":["Shandong Jianzhu University,School of Computer Science and Technology,Jinan,China","School of Computer Science and Technology, Shandong Jianzhu University, Jinan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shandong Jianzhu University,School of Computer Science and Technology,Jinan,China","institution_ids":["https://openalex.org/I44445938"]},{"raw_affiliation_string":"School of Computer Science and Technology, Shandong Jianzhu University, Jinan, China","institution_ids":["https://openalex.org/I44445938"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075421839","display_name":"Chuanzhen Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I44445938","display_name":"Shandong Jianzhu University","ror":"https://ror.org/01gbfax37","country_code":"CN","type":"education","lineage":["https://openalex.org/I44445938"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chuanzhen Xu","raw_affiliation_strings":["Shandong Jianzhu University,School of Computer Science and Technology,Jinan,China","School of Computer Science and Technology, Shandong Jianzhu University, Jinan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shandong Jianzhu University,School of Computer Science and Technology,Jinan,China","institution_ids":["https://openalex.org/I44445938"]},{"raw_affiliation_string":"School of Computer Science and Technology, Shandong Jianzhu University, Jinan, China","institution_ids":["https://openalex.org/I44445938"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039430254","display_name":"Liangyun Sun","orcid":"https://orcid.org/0009-0002-7543-1406"},"institutions":[{"id":"https://openalex.org/I44445938","display_name":"Shandong Jianzhu University","ror":"https://ror.org/01gbfax37","country_code":"CN","type":"education","lineage":["https://openalex.org/I44445938"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liangyun Sun","raw_affiliation_strings":["Shandong Jianzhu University,School of Computer Science and Technology,Jinan,China","School of Computer Science and Technology, Shandong Jianzhu University, Jinan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shandong Jianzhu University,School of Computer Science and Technology,Jinan,China","institution_ids":["https://openalex.org/I44445938"]},{"raw_affiliation_string":"School of Computer Science and Technology, Shandong Jianzhu University, Jinan, China","institution_ids":["https://openalex.org/I44445938"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034042570","display_name":"Lingzhao Meng","orcid":"https://orcid.org/0009-0001-3597-4150"},"institutions":[{"id":"https://openalex.org/I44445938","display_name":"Shandong Jianzhu University","ror":"https://ror.org/01gbfax37","country_code":"CN","type":"education","lineage":["https://openalex.org/I44445938"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lingzhao Meng","raw_affiliation_strings":["Shandong Jianzhu University,School of Computer Science and Technology,Jinan,China","School of Computer Science and Technology, Shandong Jianzhu University, Jinan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shandong Jianzhu University,School of Computer Science and Technology,Jinan,China","institution_ids":["https://openalex.org/I44445938"]},{"raw_affiliation_string":"School of Computer Science and Technology, Shandong Jianzhu University, Jinan, China","institution_ids":["https://openalex.org/I44445938"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019824207","display_name":"Xiushan Nie","orcid":"https://orcid.org/0000-0001-9644-9723"},"institutions":[{"id":"https://openalex.org/I44445938","display_name":"Shandong Jianzhu University","ror":"https://ror.org/01gbfax37","country_code":"CN","type":"education","lineage":["https://openalex.org/I44445938"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiushan Nie","raw_affiliation_strings":["Shandong Jianzhu University,School of Computer Science and Technology,Jinan,China","School of Computer Science and Technology, Shandong Jianzhu University, Jinan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shandong Jianzhu University,School of Computer Science and Technology,Jinan,China","institution_ids":["https://openalex.org/I44445938"]},{"raw_affiliation_string":"School of Computer Science and Technology, Shandong Jianzhu University, Jinan, China","institution_ids":["https://openalex.org/I44445938"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I44445938"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"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":0.9994999766349792,"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":0.9994999766349792,"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":0.9976000189781189,"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/T11885","display_name":"MRI in cancer diagnosis","score":0.9970999956130981,"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":0.8608502149581909},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6765779256820679},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.6452022194862366},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6380628347396851},{"id":"https://openalex.org/keywords/modalities","display_name":"Modalities","score":0.620210587978363},{"id":"https://openalex.org/keywords/receiver-operating-characteristic","display_name":"Receiver operating characteristic","score":0.5415459275245667},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.48786282539367676},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.46680691838264465},{"id":"https://openalex.org/keywords/medical-imaging","display_name":"Medical imaging","score":0.44197946786880493},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4351540803909302},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.41575154662132263},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.22839593887329102}],"concepts":[{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.8608502149581909},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6765779256820679},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.6452022194862366},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6380628347396851},{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.620210587978363},{"id":"https://openalex.org/C58471807","wikidata":"https://www.wikidata.org/wiki/Q327120","display_name":"Receiver operating characteristic","level":2,"score":0.5415459275245667},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.48786282539367676},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.46680691838264465},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.44197946786880493},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4351540803909302},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.41575154662132263},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.22839593887329102},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/hsi55341.2022.9869477","is_oa":false,"landing_page_url":"https://doi.org/10.1109/hsi55341.2022.9869477","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 15th International Conference on Human System Interaction (HSI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.7300000190734863}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320324174","display_name":"Natural Science Foundation of Shandong Province","ror":null},{"id":"https://openalex.org/F4320324777","display_name":"Shandong Jianzhu University","ror":"https://ror.org/01gbfax37"},{"id":"https://openalex.org/F4320326189","display_name":"Taishan Scholar Project of Shandong Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W64498966","https://openalex.org/W1522301498","https://openalex.org/W1966339838","https://openalex.org/W2042848874","https://openalex.org/W2155419206","https://openalex.org/W2527854671","https://openalex.org/W2552383788","https://openalex.org/W2581091741","https://openalex.org/W2586079602","https://openalex.org/W2715193206","https://openalex.org/W2725008604","https://openalex.org/W2755268548","https://openalex.org/W2783710041","https://openalex.org/W2893919471","https://openalex.org/W2945280821","https://openalex.org/W2946053491","https://openalex.org/W2946113577","https://openalex.org/W2947330696","https://openalex.org/W2963787388","https://openalex.org/W3094910079","https://openalex.org/W3183800903","https://openalex.org/W6631190155","https://openalex.org/W6763031724","https://openalex.org/W6763325974"],"related_works":["https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W259157601","https://openalex.org/W4205463238","https://openalex.org/W1482209366","https://openalex.org/W2110523656","https://openalex.org/W2521627374","https://openalex.org/W2761785940","https://openalex.org/W2129933262"],"abstract_inverted_index":{"Benefiting":[0],"from":[1],"the":[2,7,43,48,54,59,107,122,130],"development":[3],"of":[4,19,45,109,124],"medical":[5],"imaging,":[6],"automatic":[8],"breast":[9,20,70],"image":[10,27],"classification":[11,34,72],"has":[12],"been":[13,116],"extensively":[14],"studied":[15],"in":[16],"a":[17,64,87],"variety":[18],"cancer":[21],"diagnosis":[22],"tasks":[23],"recently.":[24],"The":[25,127],"multi-modality":[26,38,88],"fusion":[28,39,44],"was":[29],"helpful":[30],"to":[31,99],"further":[32],"improve":[33],"performance.":[35,56],"However,":[36],"existing":[37],"methods":[40],"focused":[41],"on":[42],"modalities,":[46,51],"ignoring":[47],"interactions":[49,67],"between":[50],"which":[52,105,119],"caused":[53],"inefficient":[55],"To":[57],"address":[58],"above":[60],"issues,":[61],"we":[62,85],"proposed":[63,86],"novel":[65],"attention-based":[66,102],"network":[68],"for":[69],"tumor":[71],"by":[73],"using":[74],"diffusion-weighted":[75],"imaging":[76],"(DWI)":[77],"and":[78,96,140,147],"apparent":[79],"dispersion":[80],"coefficient":[81],"(ADC)":[82],"images.":[83],"Specifically,":[84],"interaction":[89,103],"mechanism,":[90],"including":[91],"relational":[92],"interaction,":[93,95,98],"channel":[94],"discriminative":[97],"design":[100],"an":[101],"module,":[104],"enhanced":[106],"abilities":[108],"inter-modal":[110],"interactions.":[111],"Extensive":[112],"ablation":[113],"studies":[114],"have":[115],"carried":[117],"out,":[118],"provably":[120],"affirmed":[121],"advantages":[123],"each":[125],"component.":[126],"area":[128],"under":[129],"receiver":[131],"operating":[132],"characteristic":[133],"curve":[134],"(AUC),":[135],"accuracy":[136],"(ACC),":[137],"specificity":[138],"(SPC),":[139],"sensitivity":[141],"(SEN)":[142],"were":[143],"87.0%,":[144,145],"88.0%,":[146],"86.0%,":[148],"respectively,":[149],"also":[150],"verifying":[151],"its":[152],"effectiveness.":[153]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
