{"id":"https://openalex.org/W4385236743","doi":"https://doi.org/10.1109/access.2023.3298569","title":"BI-RADS-NET-V2: A Composite Multi-Task Neural Network for Computer-Aided Diagnosis of Breast Cancer in Ultrasound Images With Semantic and Quantitative Explanations","display_name":"BI-RADS-NET-V2: A Composite Multi-Task Neural Network for Computer-Aided Diagnosis of Breast Cancer in Ultrasound Images With Semantic and Quantitative Explanations","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4385236743","doi":"https://doi.org/10.1109/access.2023.3298569","pmid":"https://pubmed.ncbi.nlm.nih.gov/37608804"},"language":"en","primary_location":{"id":"doi:10.1109/access.2023.3298569","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3298569","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10193749.pdf","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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10193749.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5008484378","display_name":"Boyu Zhang","orcid":"https://orcid.org/0000-0002-9401-6163"},"institutions":[{"id":"https://openalex.org/I155093810","display_name":"University of Idaho","ror":"https://ror.org/03hbp5t65","country_code":"US","type":"education","lineage":["https://openalex.org/I155093810"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Boyu Zhang","raw_affiliation_strings":["Institute for Interdisciplinary Data Sciences, University of Idaho, Moscow, ID, USA","Institute for Interdisciplinary Data Sciences, University of Idaho, Moscow, Idaho, USA"],"raw_orcid":"https://orcid.org/0000-0002-9401-6163","affiliations":[{"raw_affiliation_string":"Institute for Interdisciplinary Data Sciences, University of Idaho, Moscow, ID, USA","institution_ids":["https://openalex.org/I155093810"]},{"raw_affiliation_string":"Institute for Interdisciplinary Data Sciences, University of Idaho, Moscow, Idaho, USA","institution_ids":["https://openalex.org/I155093810"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005267824","display_name":"Aleksandar Vakanski","orcid":"https://orcid.org/0000-0003-3365-1291"},"institutions":[{"id":"https://openalex.org/I155093810","display_name":"University of Idaho","ror":"https://ror.org/03hbp5t65","country_code":"US","type":"education","lineage":["https://openalex.org/I155093810"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Aleksandar Vakanski","raw_affiliation_strings":["Department of Nuclear Engineering and Industrial Management, University of Idaho, Idaho Falls, ID, USA","Department of Nuclear Engineering and Industrial Management, University of Idaho, Idaho Falls, Idaho, USA"],"raw_orcid":"https://orcid.org/0000-0003-3365-1291","affiliations":[{"raw_affiliation_string":"Department of Nuclear Engineering and Industrial Management, University of Idaho, Idaho Falls, ID, USA","institution_ids":["https://openalex.org/I155093810"]},{"raw_affiliation_string":"Department of Nuclear Engineering and Industrial Management, University of Idaho, Idaho Falls, Idaho, USA","institution_ids":["https://openalex.org/I155093810"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080652935","display_name":"Min Xian","orcid":"https://orcid.org/0000-0001-6098-4441"},"institutions":[{"id":"https://openalex.org/I155093810","display_name":"University of Idaho","ror":"https://ror.org/03hbp5t65","country_code":"US","type":"education","lineage":["https://openalex.org/I155093810"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Min Xian","raw_affiliation_strings":["Department of Computer Science, University of Idaho, Idaho Falls, ID, USA","Department of Computer Science, University of Idaho, Idaho Falls, Idaho, USA"],"raw_orcid":"https://orcid.org/0000-0001-6098-4441","affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Idaho, Idaho Falls, ID, USA","institution_ids":["https://openalex.org/I155093810"]},{"raw_affiliation_string":"Department of Computer Science, University of Idaho, Idaho Falls, Idaho, USA","institution_ids":["https://openalex.org/I155093810"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5008484378"],"corresponding_institution_ids":["https://openalex.org/I155093810"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":3.749,"has_fulltext":true,"cited_by_count":22,"citation_normalized_percentile":{"value":0.94526281,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"11","issue":null,"first_page":"79480","last_page":"79494"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9987000226974487,"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":0.9987000226974487,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9955999851226807,"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":0.9939000010490417,"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/computer-science","display_name":"Computer science","score":0.8118654489517212},{"id":"https://openalex.org/keywords/bi-rads","display_name":"BI-RADS","score":0.7341310381889343},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5989370346069336},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5984418988227844},{"id":"https://openalex.org/keywords/breast-cancer","display_name":"Breast cancer","score":0.508384644985199},{"id":"https://openalex.org/keywords/computer-aided-diagnosis","display_name":"Computer-aided diagnosis","score":0.5027692317962646},{"id":"https://openalex.org/keywords/breast-ultrasound","display_name":"Breast ultrasound","score":0.4956618547439575},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.47447851300239563},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.440576434135437},{"id":"https://openalex.org/keywords/ultrasound","display_name":"Ultrasound","score":0.43289363384246826},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3976272642612457},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.35039883852005005},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.28554898500442505},{"id":"https://openalex.org/keywords/mammography","display_name":"Mammography","score":0.2104170322418213},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.17290490865707397}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8118654489517212},{"id":"https://openalex.org/C2779098232","wikidata":"https://www.wikidata.org/wiki/Q903975","display_name":"BI-RADS","level":5,"score":0.7341310381889343},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5989370346069336},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5984418988227844},{"id":"https://openalex.org/C530470458","wikidata":"https://www.wikidata.org/wiki/Q128581","display_name":"Breast cancer","level":3,"score":0.508384644985199},{"id":"https://openalex.org/C2779549770","wikidata":"https://www.wikidata.org/wiki/Q1122413","display_name":"Computer-aided diagnosis","level":2,"score":0.5027692317962646},{"id":"https://openalex.org/C2777423100","wikidata":"https://www.wikidata.org/wiki/Q1888238","display_name":"Breast ultrasound","level":5,"score":0.4956618547439575},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.47447851300239563},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.440576434135437},{"id":"https://openalex.org/C143753070","wikidata":"https://www.wikidata.org/wiki/Q162564","display_name":"Ultrasound","level":2,"score":0.43289363384246826},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3976272642612457},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.35039883852005005},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.28554898500442505},{"id":"https://openalex.org/C2780472235","wikidata":"https://www.wikidata.org/wiki/Q324634","display_name":"Mammography","level":4,"score":0.2104170322418213},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.17290490865707397},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/access.2023.3298569","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3298569","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10193749.pdf","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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmid:37608804","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37608804","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 access : practical innovations, open solutions","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:10443928","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10443928","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10443928/pdf/nihms-1922478.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:94c28f7159ed40e5b20d3b37e271a7ae","is_oa":true,"landing_page_url":"https://doaj.org/article/94c28f7159ed40e5b20d3b37e271a7ae","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 11, Pp 79480-79494 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2023.3298569","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3298569","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10193749.pdf","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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.7099999785423279,"id":"https://metadata.un.org/sdg/3"}],"awards":[{"id":"https://openalex.org/G2186355850","display_name":null,"funder_award_id":"BS123456","funder_id":"https://openalex.org/F4320306111","funder_display_name":"U.S. Department of Commerce"},{"id":"https://openalex.org/G3884834885","display_name":null,"funder_award_id":"P20GM104420","funder_id":"https://openalex.org/F4320337354","funder_display_name":"National Institute of General Medical Sciences"}],"funders":[{"id":"https://openalex.org/F4320306111","display_name":"U.S. Department of Commerce","ror":"https://ror.org/04chq2495"},{"id":"https://openalex.org/F4320337354","display_name":"National Institute of General Medical Sciences","ror":"https://ror.org/04q48ey07"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4385236743.pdf","grobid_xml":"https://content.openalex.org/works/W4385236743.grobid-xml"},"referenced_works_count":60,"referenced_works":["https://openalex.org/W1787224781","https://openalex.org/W1825675169","https://openalex.org/W2010583686","https://openalex.org/W2112299196","https://openalex.org/W2153062028","https://openalex.org/W2153099981","https://openalex.org/W2290687990","https://openalex.org/W2329414964","https://openalex.org/W2516809705","https://openalex.org/W2657631929","https://openalex.org/W2782938286","https://openalex.org/W2789824380","https://openalex.org/W2807711156","https://openalex.org/W2809925683","https://openalex.org/W2891503716","https://openalex.org/W2898477488","https://openalex.org/W2899946757","https://openalex.org/W2919763858","https://openalex.org/W2921802966","https://openalex.org/W2922358453","https://openalex.org/W2932464288","https://openalex.org/W2936320514","https://openalex.org/W2946886733","https://openalex.org/W2951025380","https://openalex.org/W2963222567","https://openalex.org/W2963284331","https://openalex.org/W2963409068","https://openalex.org/W2963749936","https://openalex.org/W2964045325","https://openalex.org/W2970146944","https://openalex.org/W2970726176","https://openalex.org/W2978238437","https://openalex.org/W2982092517","https://openalex.org/W2982368876","https://openalex.org/W2990272570","https://openalex.org/W2991372685","https://openalex.org/W2995523160","https://openalex.org/W3000716014","https://openalex.org/W3007917775","https://openalex.org/W3010143093","https://openalex.org/W3088257970","https://openalex.org/W3096812112","https://openalex.org/W3097690390","https://openalex.org/W3100711616","https://openalex.org/W3104281045","https://openalex.org/W3105121563","https://openalex.org/W3107969486","https://openalex.org/W3112635222","https://openalex.org/W3135714884","https://openalex.org/W3172317317","https://openalex.org/W3182850645","https://openalex.org/W3207166205","https://openalex.org/W3209640431","https://openalex.org/W6638389677","https://openalex.org/W6735632633","https://openalex.org/W6750391026","https://openalex.org/W6755399738","https://openalex.org/W6764072591","https://openalex.org/W6779089961","https://openalex.org/W6784955093"],"related_works":["https://openalex.org/W2026369788","https://openalex.org/W4399609798","https://openalex.org/W4323921180","https://openalex.org/W2072056856","https://openalex.org/W2759738913","https://openalex.org/W2276934518","https://openalex.org/W3092582177","https://openalex.org/W3117289952","https://openalex.org/W2330711938","https://openalex.org/W2349372299"],"abstract_inverted_index":{"Computer-aided":[0],"Diagnosis":[1],"(CADx)":[2],"based":[3],"on":[4,88],"explainable":[5],"artificial":[6],"intelligence":[7],"(XAI)":[8],"can":[9,43],"gain":[10],"the":[11,96,100,108,121],"trust":[12],"of":[13,64,107],"radiologists":[14],"and":[15,20,51,55,74,82,117],"effectively":[16],"improve":[17],"diagnosis":[18,37,73,101],"accuracy":[19,102],"consultation":[21],"efficiency.":[22],"This":[23],"paper":[24],"proposes":[25],"BI-RADS-Net-V2,":[26],"a":[27],"novel":[28],"machine":[29],"learning":[30],"approach":[31],"for":[32,72,120],"fully":[33],"automatic":[34],"breast":[35],"cancer":[36],"in":[38,62,111],"ultrasound":[39],"images.":[40],"The":[41,58,86],"BI-RADS-Net-V2":[42],"accurately":[44],"distinguish":[45],"malignant":[46],"tumors":[47],"from":[48],"benign":[49],"ones":[50],"provides":[52],"both":[53,115],"semantic":[54,116],"quantitative":[56,118],"explanations.":[57],"explanations":[59,119],"are":[60],"provided":[61],"terms":[63],"clinically":[65],"proven":[66],"morphological":[67],"features":[68],"used":[69],"by":[70,103],"clinicians":[71],"reporting":[75],"mass":[76],"findings,":[77],"i.e.,":[78],"Breast":[79,90],"Imaging":[80],"Reporting":[81],"Data":[83],"System":[84],"(BI-RADS).":[85],"experiments":[87],"1,192":[89],"Ultrasound":[91],"(BUS)":[92],"images":[93],"indicate":[94],"that":[95],"proposed":[97],"method":[98],"improves":[99],"taking":[104],"full":[105],"advantage":[106],"medical":[109],"knowledge":[110],"BI-RADS":[112],"while":[113],"providing":[114],"decision.":[122]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":11}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
