{"id":"https://openalex.org/W4392399505","doi":"https://doi.org/10.1109/jbhi.2024.3371229","title":"ERetinaNet: An Efficient Neural Network Based on RetinaNet for Mammographic Breast Mass Detection","display_name":"ERetinaNet: An Efficient Neural Network Based on RetinaNet for Mammographic Breast Mass Detection","publication_year":2024,"publication_date":"2024-03-01","ids":{"openalex":"https://openalex.org/W4392399505","doi":"https://doi.org/10.1109/jbhi.2024.3371229","pmid":"https://pubmed.ncbi.nlm.nih.gov/38427552"},"language":"en","primary_location":{"id":"doi:10.1109/jbhi.2024.3371229","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2024.3371229","pdf_url":null,"source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Biomedical and Health Informatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5084480389","display_name":"L.-F. Chen","orcid":"https://orcid.org/0000-0001-7064-8855"},"institutions":[{"id":"https://openalex.org/I145897649","display_name":"Minzu University of China","ror":"https://ror.org/0044e2g62","country_code":"CN","type":"education","lineage":["https://openalex.org/I145897649"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Luolin Chen","raw_affiliation_strings":["College of Computer Science, South-Central Minzu University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0001-7064-8855","affiliations":[{"raw_affiliation_string":"College of Computer Science, South-Central Minzu University, Wuhan, China","institution_ids":["https://openalex.org/I145897649"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104666823","display_name":"Yusong Zhou","orcid":"https://orcid.org/0009-0003-6178-6609"},"institutions":[{"id":"https://openalex.org/I145897649","display_name":"Minzu University of China","ror":"https://ror.org/0044e2g62","country_code":"CN","type":"education","lineage":["https://openalex.org/I145897649"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yusong Zhou","raw_affiliation_strings":["College of Computer Science, South-Central Minzu University, Wuhan, China"],"raw_orcid":"https://orcid.org/0009-0003-6178-6609","affiliations":[{"raw_affiliation_string":"College of Computer Science, South-Central Minzu University, Wuhan, China","institution_ids":["https://openalex.org/I145897649"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051350276","display_name":"Shengzhou Xu","orcid":"https://orcid.org/0000-0003-4285-9588"},"institutions":[{"id":"https://openalex.org/I145897649","display_name":"Minzu University of China","ror":"https://ror.org/0044e2g62","country_code":"CN","type":"education","lineage":["https://openalex.org/I145897649"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shengzhou Xu","raw_affiliation_strings":["College of Computer Science, South-Central Minzu University, Wuhan, China","Hubei Provincial Engineering Research Center for Intelligent Management of Manufacturing Enterprises, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0003-4285-9588","affiliations":[{"raw_affiliation_string":"College of Computer Science, South-Central Minzu University, Wuhan, China","institution_ids":["https://openalex.org/I145897649"]},{"raw_affiliation_string":"Hubei Provincial Engineering Research Center for Intelligent Management of Manufacturing Enterprises, Wuhan, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5084480389"],"corresponding_institution_ids":["https://openalex.org/I145897649"],"apc_list":null,"apc_paid":null,"fwci":5.2982,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.95972282,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"28","issue":"5","first_page":"2866","last_page":"2878"},"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/T12874","display_name":"Digital Imaging for Blood Diseases","score":0.9984999895095825,"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"}},{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9962000250816345,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8452542424201965},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.652324914932251},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.643268883228302},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5582844018936157},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5389341711997986},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4773293137550354},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.451474130153656},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.32019364833831787}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8452542424201965},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.652324914932251},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.643268883228302},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5582844018936157},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5389341711997986},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4773293137550354},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.451474130153656},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.32019364833831787}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001940","descriptor_name":"Breast","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D001940","descriptor_name":"Breast","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D001940","descriptor_name":"Breast","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D001940","descriptor_name":"Breast","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D001940","descriptor_name":"Breast","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D001943","descriptor_name":"Breast Neoplasms","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D001943","descriptor_name":"Breast Neoplasms","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D001943","descriptor_name":"Breast Neoplasms","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D001943","descriptor_name":"Breast Neoplasms","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D001943","descriptor_name":"Breast Neoplasms","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008327","descriptor_name":"Mammography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D008327","descriptor_name":"Mammography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D008327","descriptor_name":"Mammography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D008327","descriptor_name":"Mammography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D008327","descriptor_name":"Mammography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D011857","descriptor_name":"Radiographic Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D011857","descriptor_name":"Radiographic Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D011857","descriptor_name":"Radiographic Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D011857","descriptor_name":"Radiographic Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D011857","descriptor_name":"Radiographic Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1109/jbhi.2024.3371229","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2024.3371229","pdf_url":null,"source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Biomedical and Health Informatics","raw_type":"journal-article"},{"id":"pmid:38427552","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38427552","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE journal of biomedical and health informatics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1070886949","display_name":null,"funder_award_id":"CZY22015","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W41027960","https://openalex.org/W639708223","https://openalex.org/W2012626328","https://openalex.org/W2031614119","https://openalex.org/W2154392078","https://openalex.org/W2161791887","https://openalex.org/W2183341477","https://openalex.org/W2193145675","https://openalex.org/W2194775991","https://openalex.org/W2240965754","https://openalex.org/W2561981131","https://openalex.org/W2565639579","https://openalex.org/W2682880626","https://openalex.org/W2731422065","https://openalex.org/W2752782242","https://openalex.org/W2755773539","https://openalex.org/W2922509574","https://openalex.org/W2963091558","https://openalex.org/W2963351448","https://openalex.org/W2963446712","https://openalex.org/W2979291688","https://openalex.org/W2982083293","https://openalex.org/W3034429256","https://openalex.org/W3034552520","https://openalex.org/W3035049382","https://openalex.org/W3094502228","https://openalex.org/W3096609285","https://openalex.org/W3106250896","https://openalex.org/W3128646645","https://openalex.org/W3138516171","https://openalex.org/W3153382861","https://openalex.org/W3160694286","https://openalex.org/W3167976421","https://openalex.org/W3170841864","https://openalex.org/W4206841660","https://openalex.org/W4214666412","https://openalex.org/W4246399668","https://openalex.org/W4289752563","https://openalex.org/W4297775537","https://openalex.org/W4317565044","https://openalex.org/W4375868994","https://openalex.org/W4385245566","https://openalex.org/W4386076325","https://openalex.org/W4394642372","https://openalex.org/W6637373629","https://openalex.org/W6638667902","https://openalex.org/W6737664043"],"related_works":["https://openalex.org/W2601157893","https://openalex.org/W2373006798","https://openalex.org/W2131735617","https://openalex.org/W2056912418","https://openalex.org/W2033213769","https://openalex.org/W4312376745","https://openalex.org/W2136016640","https://openalex.org/W2049538278","https://openalex.org/W2886173746","https://openalex.org/W2074736680"],"abstract_inverted_index":{"Mammography":[0],"is":[1,48,84,96,119,140,157,182,197],"an":[2,15,42],"effective":[3,106,151],"method":[4],"for":[5],"diagnosing":[6],"breast":[7,22,59],"diseases,":[8],"and":[9,27,54,66,117,225,249],"computer-aided":[10],"detection":[11,20,35,134,195,233,241],"(CAD)":[12],"systems":[13],"play":[14],"important":[16],"role":[17],"in":[18,159],"the":[19,28,34,52,69,73,79,82,88,100,133,144,160,167,174,211,216,228,232],"of":[21,30,36,57,75,81,146,163,235],"masses.":[23],"However,":[24],"low":[25],"contrast":[26],"interference":[29],"surrounding":[31],"tissues":[32],"make":[33,200],"masses":[37],"challenging.":[38],"In":[39,177],"this":[40],"paper,":[41],"efficient":[43],"RetinaNet":[44],"network":[45,70,83,102,168],"named":[46],"ERetinaNet":[47,188,201,214,236],"proposed":[49,98,141],"to":[50,71,86,122,131,142,169,173,184,189,199,223],"improve":[51,87],"accuracy":[53,234],"inference":[55,89,127,229],"speed":[56],"mammographic":[58],"mass":[60],"detection.":[61],"Efficient":[62],"modules":[63],"are":[64],"designed":[65],"introduced":[67],"into":[68],"facilitate":[72],"extraction":[74],"comprehensive":[76],"features,":[77],"while":[78],"structure":[80,111,125],"simplified":[85,198],"speed.":[90,135],"A":[91],"Faster":[92,245],"RepVGG":[93],"(FRepVGG)":[94],"architecture":[95],"first":[97],"as":[99,244],"backbone":[101],"that":[103,208],"utilizes":[104],"three":[105],"strategies:":[107],"1)":[108],"The":[109,137,194,204],"multi-branch":[110],"used":[112],"during":[113,126],"training":[114],"enhances":[115],"learning,":[116],"it":[118],"equivalently":[120],"converted":[121],"a":[123],"single-path":[124],"by":[128],"re-parameterization":[129],"technique":[130],"accelerate":[132],"2)":[136],"Extraction":[138],"operation":[139],"condense":[143],"features":[145],"intermediate":[147],"layers.":[148],"3)":[149],"An":[150],"Multi-spectral":[152],"Channel":[153],"Attention":[154],"(eMCA)":[155],"module":[156],"added":[158,183],"last":[161],"layer":[162],"each":[164],"stage,":[165],"enabling":[166],"pay":[170],"more":[171,202],"attention":[172],"target":[175],"region.":[176],"addition,":[178],"Vision":[179],"Transformer":[180],"(ViT)":[181],"ERetinaNet,":[185],"which":[186],"enables":[187],"learn":[190],"global":[191],"semantic":[192],"information.":[193],"head":[196],"efficient.":[203],"experimental":[205],"results":[206],"show":[207],"compared":[209],"with":[210],"original":[212],"RetinaNet,":[213],"improves":[215],"mean":[217],"Average":[218],"Precision":[219],"(mAP)":[220],"from":[221],"79.16%":[222],"85.01%":[224],"significantly":[226],"shortens":[227],"time.":[230],"Moreover,":[231],"outperforms":[237],"other":[238],"excellent":[239],"object":[240],"networks,":[242],"such":[243],"R-CNN,":[246],"SSD,":[247],"YOLOv3":[248],"YOLOv7.":[250]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
