{"id":"https://openalex.org/W4409917615","doi":"https://doi.org/10.1109/tcbbio.2025.3565465","title":"A Modified Relation and Margin-Based Deep Learning Network for Automatic Breast Cancer Detection","display_name":"A Modified Relation and Margin-Based Deep Learning Network for Automatic Breast Cancer Detection","publication_year":2025,"publication_date":"2025-04-29","ids":{"openalex":"https://openalex.org/W4409917615","doi":"https://doi.org/10.1109/tcbbio.2025.3565465","pmid":"https://pubmed.ncbi.nlm.nih.gov/40811338"},"language":"en","primary_location":{"id":"doi:10.1109/tcbbio.2025.3565465","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcbbio.2025.3565465","pdf_url":null,"source":{"id":"https://openalex.org/S5407042751","display_name":"IEEE Transactions on Computational Biology and Bioinformatics","issn_l":"2998-4165","issn":["2998-4165"],"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Computational Biology and Bioinformatics","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/A5058234884","display_name":"Adyasha Sahu","orcid":"https://orcid.org/0000-0003-0871-6962"},"institutions":[{"id":"https://openalex.org/I464993","display_name":"Barkatullah University","ror":"https://ror.org/02ax13658","country_code":"IN","type":"education","lineage":["https://openalex.org/I464993"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Adyasha Sahu","raw_affiliation_strings":["School of Computing Science Engineering and Artificial Intelligence, VIT Bhopal University, Bhopal, India"],"affiliations":[{"raw_affiliation_string":"School of Computing Science Engineering and Artificial Intelligence, VIT Bhopal University, Bhopal, India","institution_ids":["https://openalex.org/I464993"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037663112","display_name":"Sukadev Meher","orcid":"https://orcid.org/0000-0003-4397-3139"},"institutions":[{"id":"https://openalex.org/I16292982","display_name":"National Institute of Technology Rourkela","ror":"https://ror.org/011gmn932","country_code":"IN","type":"education","lineage":["https://openalex.org/I16292982"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sukadev Meher","raw_affiliation_strings":["Department of Electronics and Communication Engineering, National Institute of Technology Rourkela, Odisha, India"],"affiliations":[{"raw_affiliation_string":"Department of Electronics and Communication Engineering, National Institute of Technology Rourkela, Odisha, India","institution_ids":["https://openalex.org/I16292982"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5058234884"],"corresponding_institution_ids":["https://openalex.org/I464993"],"apc_list":null,"apc_paid":null,"fwci":5.7735,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.95297854,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":"22","issue":"4","first_page":"1682","last_page":"1689"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9994000196456909,"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":0.9994000196456909,"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/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9807999730110168,"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"}},{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9365000128746033,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/margin","display_name":"Margin (machine learning)","score":0.8729040622711182},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.7012684941291809},{"id":"https://openalex.org/keywords/breast-cancer","display_name":"Breast cancer","score":0.6483654975891113},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5941824316978455},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.504011332988739},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.49942827224731445},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.3550074100494385},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3210948407649994},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.21355444192886353},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.18658003211021423},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.08563390374183655}],"concepts":[{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.8729040622711182},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.7012684941291809},{"id":"https://openalex.org/C530470458","wikidata":"https://www.wikidata.org/wiki/Q128581","display_name":"Breast cancer","level":3,"score":0.6483654975891113},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5941824316978455},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.504011332988739},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.49942827224731445},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.3550074100494385},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3210948407649994},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.21355444192886353},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.18658003211021423},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.08563390374183655}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tcbbio.2025.3565465","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcbbio.2025.3565465","pdf_url":null,"source":{"id":"https://openalex.org/S5407042751","display_name":"IEEE Transactions on Computational Biology and Bioinformatics","issn_l":"2998-4165","issn":["2998-4165"],"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Computational Biology and Bioinformatics","raw_type":"journal-article"},{"id":"pmid:40811338","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/40811338","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 transactions on computational biology and bioinformatics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/5","display_name":"Gender equality","score":0.4699999988079071}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W2744692634","https://openalex.org/W2767520202","https://openalex.org/W2885557368","https://openalex.org/W2903193238","https://openalex.org/W2921766025","https://openalex.org/W2928842276","https://openalex.org/W2947267495","https://openalex.org/W2965845428","https://openalex.org/W2991372685","https://openalex.org/W3012810890","https://openalex.org/W3012974409","https://openalex.org/W3017594723","https://openalex.org/W3025602058","https://openalex.org/W3040253440","https://openalex.org/W3105800616","https://openalex.org/W3120678054","https://openalex.org/W3137244318","https://openalex.org/W3143332524","https://openalex.org/W3144883044","https://openalex.org/W3155085109","https://openalex.org/W3155622583","https://openalex.org/W3167708457","https://openalex.org/W3170241800","https://openalex.org/W3178773782","https://openalex.org/W4200000729","https://openalex.org/W4281555021","https://openalex.org/W4285243643","https://openalex.org/W4285297040","https://openalex.org/W4307217876","https://openalex.org/W4307844358","https://openalex.org/W4312899406","https://openalex.org/W4366374501","https://openalex.org/W4367396455","https://openalex.org/W4378878397","https://openalex.org/W4386197239","https://openalex.org/W4387150715","https://openalex.org/W4390562101","https://openalex.org/W4391169916","https://openalex.org/W4391445495","https://openalex.org/W4392913141","https://openalex.org/W4392922045","https://openalex.org/W6857034221"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W4234874385","https://openalex.org/W3125011624","https://openalex.org/W1508631387","https://openalex.org/W2370917603","https://openalex.org/W2952760143","https://openalex.org/W2323648130","https://openalex.org/W2017776670","https://openalex.org/W2157140558","https://openalex.org/W4380075502"],"abstract_inverted_index":{"Breast":[0],"cancer":[1,8,27,43,81,168],"is":[2,28,76],"the":[3,15,46,89,93,97,115,143,147,163,175],"second":[4],"leading":[5],"cause":[6],"of":[7,14,25,99,132,177],"deaths":[9],"among":[10],"women":[11],"and":[12,22,32,62,72,92,108,124,138,157,179,181,186],"one":[13],"most":[16],"frequently":[17],"diagnosed":[18],"cancers.":[19],"Hence,":[20],"early":[21],"accurate":[23],"detection":[24,64],"breast":[26,42,80,167],"quite":[29],"challenging.":[30],"Mammography":[31],"ultrasonography":[33],"are":[34,118,160],"two":[35],"commonly":[36],"used":[37,161],"screening":[38],"technologies":[39],"for":[40,78,96,121,162,183],"detecting":[41],"to":[44,59,87,190],"diminish":[45],"mortality":[47],"rate.":[48],"Recently,":[49],"several":[50],"researchers":[51],"have":[52],"come":[53],"up":[54],"with":[55,114,174],"computer-aided":[56],"designs":[57],"(CADs)":[58],"aid":[60],"radiologists":[61],"improve":[63,88],"efficacy.":[65],"In":[66],"this":[67],"work,":[68],"a":[69,104,109],"modified":[70],"Relation":[71],"Margin":[73],"Network":[74],"(MReMarNet)":[75],"presented":[77],"efficient":[79],"detection.":[82],"The":[83,129,165],"proposed":[84,166],"model":[85],"tries":[86],"intraclass":[90],"compactness":[91,134],"inter-class":[94,139],"separability":[95,140],"classification":[98],"small":[100],"sample":[101],"datasets.":[102],"Moreover,":[103],"relation":[105],"unit":[106,113],"(RU)":[107],"fully":[110],"connected":[111],"(FC)":[112],"cross-entropy":[116],"loss":[117],"employed":[119],"simultaneously":[120],"feature":[122],"learning":[123],"decision":[125],"boundary-based":[126],"classification,":[127],"respectively.":[128],"coupled":[130],"benefits":[131],"intra-class":[133],"provided":[135,141],"by":[136,142],"RU":[137],"FC":[144],"branch":[145],"make":[146],"system":[148],"more":[149],"efficient.":[150],"Two":[151],"publicly":[152],"available":[153],"datasets,":[154,188],"mini-DDSM":[155],"(mammogram)":[156],"BUSI":[158,185],"(ultrasound),":[159],"experiment.":[164],"identification":[169],"approach":[170],"outperforms":[171],"other":[172],"networks":[173],"accuracy":[176],"98.75%":[178],"95.77%":[180],"98.00%":[182],"mini-DDSM,":[184],"BUS2":[187],"respectively,":[189],"detect":[191],"malignancy.":[192]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-03-04T09:10:02.777135","created_date":"2025-10-10T00:00:00"}