{"id":"https://openalex.org/W7161180558","doi":"https://doi.org/10.1111/exsy.70285","title":"Dual Student Discrepancy Correction for Semi\u2010Supervised Medical Image Segmentation","display_name":"Dual Student Discrepancy Correction for Semi\u2010Supervised Medical Image Segmentation","publication_year":2026,"publication_date":"2026-05-14","ids":{"openalex":"https://openalex.org/W7161180558","doi":"https://doi.org/10.1111/exsy.70285"},"language":"en","primary_location":{"id":"doi:10.1111/exsy.70285","is_oa":false,"landing_page_url":"https://doi.org/10.1111/exsy.70285","pdf_url":null,"source":{"id":"https://openalex.org/S72232612","display_name":"Expert Systems","issn_l":"0266-4720","issn":["0266-4720","1468-0394"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Expert Systems","raw_type":"journal-article"},"type":"article","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/A5136102763","display_name":"Zhenfu Sang","orcid":null},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenfu Sang","raw_affiliation_strings":["School of Computer Science and Engineering Northeastern University  Shenyang China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering Northeastern University  Shenyang China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136180345","display_name":"Rui Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210129955","display_name":"General Hospital of Shenyang Military Region","ror":"https://ror.org/0340t0585","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210129955"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rui Zhang","raw_affiliation_strings":["General Hospital of Northern Theatre Command  Shenyang China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"General Hospital of Northern Theatre Command  Shenyang China","institution_ids":["https://openalex.org/I4210129955"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136099915","display_name":"Chong Fu","orcid":"https://orcid.org/0000-0002-4549-744X"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chong Fu","raw_affiliation_strings":["Engineering Research Center of Security Technology of Complex Network System, Ministry of Education Northeastern University  Shenyang China","Key Laboratory of Intelligent Computing in Medical Image, Ministry of Education Northeastern University  Shenyang China","School of Computer Science and Engineering Northeastern University  Shenyang China"],"raw_orcid":"https://orcid.org/0000-0002-4549-744X","affiliations":[{"raw_affiliation_string":"Engineering Research Center of Security Technology of Complex Network System, Ministry of Education Northeastern University  Shenyang China","institution_ids":["https://openalex.org/I9224756"]},{"raw_affiliation_string":"Key Laboratory of Intelligent Computing in Medical Image, Ministry of Education Northeastern University  Shenyang China","institution_ids":["https://openalex.org/I9224756"]},{"raw_affiliation_string":"School of Computer Science and Engineering Northeastern University  Shenyang China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136108329","display_name":"Lin Cao","orcid":null},"institutions":[{"id":"https://openalex.org/I78675632","display_name":"Beijing Information Science & Technology University","ror":"https://ror.org/04xnqep60","country_code":"CN","type":"education","lineage":["https://openalex.org/I78675632"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Cao","raw_affiliation_strings":["School of Information and Communication Engineering Beijing Information Science and Technology University  Beijing China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering Beijing Information Science and Technology University  Beijing China","institution_ids":["https://openalex.org/I78675632"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025582832","display_name":"Chiu\u2010Wing Sham","orcid":"https://orcid.org/0000-0001-7007-6746"},"institutions":[{"id":"https://openalex.org/I154130895","display_name":"University of Auckland","ror":"https://ror.org/03b94tp07","country_code":"NZ","type":"education","lineage":["https://openalex.org/I154130895"]},{"id":"https://openalex.org/I39854758","display_name":"Auckland University of Technology","ror":"https://ror.org/01zvqw119","country_code":"NZ","type":"education","lineage":["https://openalex.org/I39854758"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Chiu\u2010Wing Sham","raw_affiliation_strings":["School of Computer Science University of Auckland  Auckland New Zealand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science University of Auckland  Auckland New Zealand","institution_ids":["https://openalex.org/I154130895","https://openalex.org/I39854758"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5136099915"],"corresponding_institution_ids":["https://openalex.org/I9224756"],"apc_list":{"value":3860,"currency":"USD","value_usd":3860},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.59776001,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"43","issue":"7","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.8679999709129333,"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"}},"topics":[{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.8679999709129333,"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.03200000151991844,"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/T14510","display_name":"Medical Imaging and Analysis","score":0.015699999406933784,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7264000177383423},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.47519999742507935},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.46480000019073486},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.44839999079704285},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.44119998812675476},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40450000762939453},{"id":"https://openalex.org/keywords/labeled-data","display_name":"Labeled data","score":0.36010000109672546},{"id":"https://openalex.org/keywords/medical-imaging","display_name":"Medical imaging","score":0.3425999879837036}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.880299985408783},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7264000177383423},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5615000128746033},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.47519999742507935},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4681999981403351},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.46480000019073486},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.44839999079704285},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.44119998812675476},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40450000762939453},{"id":"https://openalex.org/C2776145971","wikidata":"https://www.wikidata.org/wiki/Q30673951","display_name":"Labeled data","level":2,"score":0.36010000109672546},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3456999957561493},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.3425999879837036},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.3402999937534332},{"id":"https://openalex.org/C193415008","wikidata":"https://www.wikidata.org/wiki/Q639681","display_name":"Network architecture","level":2,"score":0.3264999985694885},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.32330000400543213},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.28619998693466187},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.2838999927043915},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.2827000021934509},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2752000093460083},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2538999915122986},{"id":"https://openalex.org/C103088060","wikidata":"https://www.wikidata.org/wiki/Q1062839","display_name":"Error detection and correction","level":2,"score":0.25279998779296875}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1111/exsy.70285","is_oa":false,"landing_page_url":"https://doi.org/10.1111/exsy.70285","pdf_url":null,"source":{"id":"https://openalex.org/S72232612","display_name":"Expert Systems","issn_l":"0266-4720","issn":["0266-4720","1468-0394"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Expert Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8","score":0.6288763880729675}],"awards":[{"id":"https://openalex.org/G2551476765","display_name":null,"funder_award_id":"62032013","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6717434564","display_name":null,"funder_award_id":"62171114","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W2884436604","https://openalex.org/W2962914239","https://openalex.org/W2964227007","https://openalex.org/W2971013993","https://openalex.org/W2984353870","https://openalex.org/W3005193778","https://openalex.org/W3083779147","https://openalex.org/W3093394156","https://openalex.org/W3194662286","https://openalex.org/W4205953442","https://openalex.org/W4285040393","https://openalex.org/W4321484266","https://openalex.org/W4385767742","https://openalex.org/W4386280880","https://openalex.org/W4401211295","https://openalex.org/W4401476980","https://openalex.org/W4406075583","https://openalex.org/W4409014564","https://openalex.org/W4413392608"],"related_works":[],"abstract_inverted_index":{"ABSTRACT":[0],"Semi\u2010supervised":[1],"medical":[2],"image":[3],"segmentation":[4,141],"(SSMIS)":[5],"has":[6],"proven":[7],"to":[8,42,131],"be":[9],"an":[10,77,149],"effective":[11],"solution":[12],"that":[13,95,159],"leverages":[14],"limited":[15],"labelled":[16],"data":[17],"and":[18,27,126,133,153],"abundant":[19],"unlabeled":[20],"data,":[21],"thereby":[22],"significantly":[23],"reducing":[24],"the":[25,36,51,61,70,91,100,113,117,129,175],"labour":[26],"cost":[28],"associated":[29],"with":[30,81],"manual":[31],"annotation.":[32],"However,":[33],"most":[34],"of":[35,53],"existing":[37],"teacher\u2010student":[38],"frameworks":[39],"are":[40],"prone":[41],"suffer":[43],"from":[44],"confirmation":[45],"bias":[46],"during":[47],"training,":[48],"adversely":[49],"affecting":[50],"performance":[52],"SSMIS.":[54],"To":[55],"address":[56],"this":[57],"challenge,":[58],"we":[59],"propose":[60],"Dual":[62],"Student":[63],"Discrepancy":[64],"Correction":[65],"framework":[66,74,162],"(DSDC),":[67],"which":[68],"extends":[69],"Mean":[71],"Teacher":[72],"(MT)":[73],"by":[75],"incorporating":[76],"additional":[78],"student":[79,119],"model":[80,102],"identical":[82],"architecture":[83],"but":[84],"independently":[85],"updated":[86],"parameters.":[87],"This":[88],"design":[89],"mitigates":[90],"parameter":[92],"coupling":[93],"issue":[94],"may":[96],"arise":[97],"when":[98],"updating":[99],"teacher":[101],"via":[103],"Exponential":[104],"Moving":[105],"Average":[106],"(EMA)":[107],"in":[108,178],"conventional":[109],"single\u2010student":[110],"paradigms.":[111],"Moreover,":[112],"prediction":[114],"discrepancy":[115],"between":[116],"two":[118,146],"models":[120],"is":[121,182],"leveraged":[122],"for":[123],"error":[124],"detection":[125],"correction,":[127],"enabling":[128],"network":[130],"identify":[132],"rectify":[134],"its":[135],"own":[136],"cognitive":[137],"biases,":[138],"ultimately":[139],"enhancing":[140],"accuracy.":[142],"Comprehensive":[143],"experiments":[144],"on":[145],"public":[147],"benchmarks,":[148],"MRI":[150],"dataset":[151,156],"(LA)":[152],"a":[154],"CT":[155],"(Pancreas\u2010NIH),":[157],"reveal":[158],"our":[160],"DSDC":[161],"surpasses":[163],"current":[164],"State\u2010of\u2010the\u2010Art":[165],"(SOTA)":[166],"approaches":[167],"across":[168],"all":[169],"evaluation":[170],"metrics.":[171],"These":[172],"findings":[173],"substantiate":[174],"framework's":[176],"effectiveness":[177],"SSMIS":[179],"tasks.":[180],"Code":[181],"accessible":[183],"at":[184],"https://github.com/Sangfugui/DSDC":[185],".":[186]},"counts_by_year":[],"updated_date":"2026-06-18T08:10:14.011955","created_date":"2026-05-15T00:00:00"}