{"id":"https://openalex.org/W4404847702","doi":"https://doi.org/10.1109/access.2024.3508780","title":"Research on Breast Cancer Detection Methods Based on ODMV-MulDyHead-YOLO","display_name":"Research on Breast Cancer Detection Methods Based on ODMV-MulDyHead-YOLO","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4404847702","doi":"https://doi.org/10.1109/access.2024.3508780"},"language":"en","primary_location":{"id":"doi:10.1109/access.2024.3508780","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3508780","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"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":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2024.3508780","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100402767","display_name":"Yanhong Zhang","orcid":"https://orcid.org/0000-0002-8421-9004"},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yanhong Zhang","raw_affiliation_strings":["School of Computer Science and Technology, Xi&#x2019;an University of Posts and Telecommunications, Xi&#x2019;an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Xi&#x2019;an University of Posts and Telecommunications, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I4210136859"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100738724","display_name":"Pei Li","orcid":"https://orcid.org/0000-0002-6710-2816"},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pei Li","raw_affiliation_strings":["School of Computer Science and Technology, Xi&#x2019;an University of Posts and Telecommunications, Xi&#x2019;an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Xi&#x2019;an University of Posts and Telecommunications, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I4210136859"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102886382","display_name":"Yihua Lan","orcid":"https://orcid.org/0000-0001-9992-0103"},"institutions":[{"id":"https://openalex.org/I4210110718","display_name":"Nanyang Normal University","ror":"https://ror.org/01f7yer47","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210110718"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yihua Lan","raw_affiliation_strings":["School of Artificial Intelligence and Software Engineering, Nanyang Normal University, Nanyang, Henan, China"],"raw_orcid":"https://orcid.org/0000-0001-9992-0103","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence and Software Engineering, Nanyang Normal University, Nanyang, Henan, China","institution_ids":["https://openalex.org/I4210110718"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111768489","display_name":"Xiao Jia","orcid":null},"institutions":[{"id":"https://openalex.org/I4210110718","display_name":"Nanyang Normal University","ror":"https://ror.org/01f7yer47","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210110718"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao Jia","raw_affiliation_strings":["School of Artificial Intelligence and Software Engineering, Nanyang Normal University, Nanyang, Henan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence and Software Engineering, Nanyang Normal University, Nanyang, Henan, China","institution_ids":["https://openalex.org/I4210110718"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073671355","display_name":"Yingjie Lv","orcid":null},"institutions":[{"id":"https://openalex.org/I4210110718","display_name":"Nanyang Normal University","ror":"https://ror.org/01f7yer47","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210110718"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yingjie Lv","raw_affiliation_strings":["School of Artificial Intelligence and Software Engineering, Nanyang Normal University, Nanyang, Henan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence and Software Engineering, Nanyang Normal University, Nanyang, Henan, China","institution_ids":["https://openalex.org/I4210110718"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100402767"],"corresponding_institution_ids":["https://openalex.org/I4210136859"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":3.6202,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.9347251,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":"12","issue":null,"first_page":"186819","last_page":"186835"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13731","display_name":"Advanced Computing and Algorithms","score":0.817300021648407,"subfield":{"id":"https://openalex.org/subfields/3322","display_name":"Urban Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T13731","display_name":"Advanced Computing and Algorithms","score":0.817300021648407,"subfield":{"id":"https://openalex.org/subfields/3322","display_name":"Urban Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5598964095115662},{"id":"https://openalex.org/keywords/breast-cancer","display_name":"Breast cancer","score":0.5467809438705444},{"id":"https://openalex.org/keywords/cancer-detection","display_name":"Cancer detection","score":0.41857481002807617},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.35034388303756714},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.17473763227462769},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.08804360032081604}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5598964095115662},{"id":"https://openalex.org/C530470458","wikidata":"https://www.wikidata.org/wiki/Q128581","display_name":"Breast cancer","level":3,"score":0.5467809438705444},{"id":"https://openalex.org/C2985322473","wikidata":"https://www.wikidata.org/wiki/Q3044843","display_name":"Cancer detection","level":3,"score":0.41857481002807617},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.35034388303756714},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.17473763227462769},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.08804360032081604}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2024.3508780","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3508780","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"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":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:216ff6d0dc7740e38d0a072297514f9f","is_oa":true,"landing_page_url":"https://doaj.org/article/216ff6d0dc7740e38d0a072297514f9f","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 12, Pp 186819-186835 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2024.3508780","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3508780","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"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":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.6700000166893005,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W41027960","https://openalex.org/W304373761","https://openalex.org/W2294923432","https://openalex.org/W2492170386","https://openalex.org/W2570343428","https://openalex.org/W2962766617","https://openalex.org/W2963037989","https://openalex.org/W2963402592","https://openalex.org/W2990763144","https://openalex.org/W3014164192","https://openalex.org/W3018757597","https://openalex.org/W3031941587","https://openalex.org/W3110589650","https://openalex.org/W3122173535","https://openalex.org/W3141715524","https://openalex.org/W3171660447","https://openalex.org/W3194790201","https://openalex.org/W3198975434","https://openalex.org/W4297676427","https://openalex.org/W4307358114","https://openalex.org/W4385819962","https://openalex.org/W4386076325","https://openalex.org/W4391235341","https://openalex.org/W6750227808","https://openalex.org/W6803865744","https://openalex.org/W6843259600"],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W4391375266","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2400060196","https://openalex.org/W2419646825"],"abstract_inverted_index":{"Breast":[0],"cancer":[1,19,34],"has":[2],"the":[3,47,108,111,124,137,156,185,190,198,203,212,220],"highest":[4],"incidence":[5],"rate":[6,214],"among":[7],"women":[8],"worldwide.":[9],"Early":[10],"screening":[11],"and":[12,21,41,52,68,72,128,148,163,169,173,211,215,228,235,238,241],"timely":[13],"treatment":[14],"can":[15],"effectively":[16],"control":[17],"breast":[18,33,58,62,119],"progression":[20],"significantly":[22],"reduce":[23],"mortality.":[24],"In":[25,177],"this":[26],"paper,":[27],"we":[28],"proposed":[29,89],"a":[30,79,99,132],"method":[31],"of":[32,49,75,110,116,126,184,200,202,219],"detection":[35,51,54,81,93,164,217],"based":[36,83,135],"on":[37,84,136],"full-dimensional":[38],"dynamic":[39],"convolution":[40,180,188],"multiple":[42],"attention":[43,86],"mechanism":[44,87],"to":[45,90,106,113,143],"solve":[46],"problems":[48],"missing":[50],"low":[53],"accuracy":[55,147,218],"caused":[56],"by":[57,61,208,233],"tumor":[59,67],"occlusion":[60],"muscle,":[63],"poor":[64],"contrast":[65],"between":[66],"surrounding":[69],"glandular":[70],"tissue":[71],"indistinct":[73],"features":[74,115],"small":[76],"tumor.":[77],"First,":[78],"target":[80,145],"head":[82],"an":[85],"is":[88,104,141,181,206],"improve":[91,107,144],"lump":[92],"sensitivity":[94],"in":[95,118,189,223],"complex":[96],"backgrounds.":[97],"Second,":[98],"lightweight":[100],"backbone":[101],"network,":[102],"MobileNetV2-ODConv,":[103],"used":[105,142,182],"ability":[109],"network":[112],"extract":[114],"lumps":[117],"X-ray":[120],"images":[121],"while":[122],"reducing":[123],"number":[125,199],"parameters":[127,201],"floating-point":[129],"operations.":[130],"Finally,":[131],"loss":[133],"function":[134],"minimum":[138],"point":[139],"distance":[140],"localization":[146],"convergence":[149],"speed.":[150],"The":[151,193],"experimental":[152,194],"results":[153,195],"show":[154,196],"that":[155],"improved":[157,204,221],"model":[158,205,222],"achieves":[159],"higher":[160],"accuracy,":[161],"sensitivity,":[162],"speed":[165],"than":[166],"previous":[167],"models,":[168],"reduces":[170],"false":[171,174],"positive":[172],"negative":[175],"rates.":[176],"addition,":[178],"two-core":[179],"instead":[183],"normal":[186],"2D":[187],"C3":[191],"module.":[192],"that:":[197],"reduced":[207],"about":[209],"47%,":[210],"recall":[213],"average":[216],"DDSM":[224],"dataset,":[225],"MIAS":[226],"dataset":[227,230],"INBreast":[229],"are":[231],"increased":[232],"8.2%":[234],"6.7%,":[236],"3.7%":[237],"2.2%,":[239],"1.3%":[240],"2.4%":[242],"respectively.":[243]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}
