{"id":"https://openalex.org/W4401247101","doi":"https://doi.org/10.1109/tnnls.2024.3432877","title":"Role Exchange-Based Self-Training Semi-Supervision Framework for Complex Medical Image Segmentation","display_name":"Role Exchange-Based Self-Training Semi-Supervision Framework for Complex Medical Image Segmentation","publication_year":2024,"publication_date":"2024-08-02","ids":{"openalex":"https://openalex.org/W4401247101","doi":"https://doi.org/10.1109/tnnls.2024.3432877","pmid":"https://pubmed.ncbi.nlm.nih.gov/39093682"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2024.3432877","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2024.3432877","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Transactions on Neural Networks and Learning Systems","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/A5066400057","display_name":"Yonghuang Wu","orcid":"https://orcid.org/0000-0002-5804-5573"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yonghuang Wu","raw_affiliation_strings":["School of Information Science and Technology and the Institute of Functional and Molecular Medical Imaging, Fudan University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-5804-5573","affiliations":[{"raw_affiliation_string":"School of Information Science and Technology and the Institute of Functional and Molecular Medical Imaging, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057943070","display_name":"Guoqing Wu","orcid":"https://orcid.org/0000-0002-8991-8701"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guoqing Wu","raw_affiliation_strings":["School of Information Science and Technology and the Institute of Functional and Molecular Medical Imaging, Fudan University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-8991-8701","affiliations":[{"raw_affiliation_string":"School of Information Science and Technology and the Institute of Functional and Molecular Medical Imaging, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042017596","display_name":"Jixian Lin","orcid":"https://orcid.org/0000-0002-8640-9995"},"institutions":[{"id":"https://openalex.org/I4210101358","display_name":"Minhang District Central Hospital","ror":"https://ror.org/00p0n9a62","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210101358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jixian Lin","raw_affiliation_strings":["Central Hospital of Minhang District, Stroke Center Shanghai, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Central Hospital of Minhang District, Stroke Center Shanghai, Shanghai, China","institution_ids":["https://openalex.org/I4210101358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100423182","display_name":"Yuanyuan Wang","orcid":"https://orcid.org/0000-0003-1984-1136"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanyuan Wang","raw_affiliation_strings":["School of Information Science and Technology and the Institute of Functional and Molecular Medical Imaging, Fudan University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0003-1984-1136","affiliations":[{"raw_affiliation_string":"School of Information Science and Technology and the Institute of Functional and Molecular Medical Imaging, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026449840","display_name":"Jinhua Yu","orcid":"https://orcid.org/0000-0002-0654-6034"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinhua Yu","raw_affiliation_strings":["School of Information Science and Technology and the Institute of Functional and Molecular Medical Imaging, Fudan University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-0654-6034","affiliations":[{"raw_affiliation_string":"School of Information Science and Technology and the Institute of Functional and Molecular Medical Imaging, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.0326,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.86857474,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"36","issue":"5","first_page":"8372","last_page":"8386"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9980999827384949,"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"}},"topics":[{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9980999827384949,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9950000047683716,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9944999814033508,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7636614441871643},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7287733554840088},{"id":"https://openalex.org/keywords/margin","display_name":"Margin (machine learning)","score":0.6077722907066345},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5927057266235352},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.4874610900878906},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4785933196544647},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4497053325176239},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.43901488184928894},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4381577968597412},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.4204857349395752}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7636614441871643},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7287733554840088},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.6077722907066345},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5927057266235352},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.4874610900878906},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4785933196544647},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4497053325176239},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.43901488184928894},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4381577968597412},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.4204857349395752},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000069553","descriptor_name":"Supervised Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069553","descriptor_name":"Supervised Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069553","descriptor_name":"Supervised Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069553","descriptor_name":"Supervised Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069553","descriptor_name":"Supervised Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"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":"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":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"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},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2024.3432877","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2024.3432877","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:39093682","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/39093682","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 neural networks and learning systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4056029687","display_name":null,"funder_award_id":"82372096","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":69,"referenced_works":["https://openalex.org/W1821462560","https://openalex.org/W1901129140","https://openalex.org/W1983320747","https://openalex.org/W1986649315","https://openalex.org/W2133556223","https://openalex.org/W2145494108","https://openalex.org/W2194775991","https://openalex.org/W2327793514","https://openalex.org/W2556022279","https://openalex.org/W2620998106","https://openalex.org/W2750925197","https://openalex.org/W2884436604","https://openalex.org/W2893691907","https://openalex.org/W2943152387","https://openalex.org/W2962804657","https://openalex.org/W2963073217","https://openalex.org/W2963326042","https://openalex.org/W2963909971","https://openalex.org/W2964159205","https://openalex.org/W2979686823","https://openalex.org/W2979907638","https://openalex.org/W2990231018","https://openalex.org/W2996913633","https://openalex.org/W3014974815","https://openalex.org/W3015735225","https://openalex.org/W3031923721","https://openalex.org/W3035160371","https://openalex.org/W3035680157","https://openalex.org/W3037260676","https://openalex.org/W3083779147","https://openalex.org/W3107695429","https://openalex.org/W3125080173","https://openalex.org/W3127751679","https://openalex.org/W3137325507","https://openalex.org/W3163015687","https://openalex.org/W3171581326","https://openalex.org/W3172681723","https://openalex.org/W3197176218","https://openalex.org/W3200046546","https://openalex.org/W3200379731","https://openalex.org/W3209458476","https://openalex.org/W4212875960","https://openalex.org/W4221142635","https://openalex.org/W4221144896","https://openalex.org/W4226502176","https://openalex.org/W4282935002","https://openalex.org/W4285040393","https://openalex.org/W4288751081","https://openalex.org/W4312108898","https://openalex.org/W4312651959","https://openalex.org/W4313166273","https://openalex.org/W4361756127","https://openalex.org/W4390874575","https://openalex.org/W4392013871","https://openalex.org/W6640425456","https://openalex.org/W6674330103","https://openalex.org/W6733814495","https://openalex.org/W6735443497","https://openalex.org/W6762718338","https://openalex.org/W6762913911","https://openalex.org/W6764051988","https://openalex.org/W6770578729","https://openalex.org/W6773005947","https://openalex.org/W6779494701","https://openalex.org/W6779659972","https://openalex.org/W6784265214","https://openalex.org/W6788135285","https://openalex.org/W6797096652","https://openalex.org/W6857979729"],"related_works":["https://openalex.org/W3125011624","https://openalex.org/W1508631387","https://openalex.org/W2370917603","https://openalex.org/W2952760143","https://openalex.org/W2017776670","https://openalex.org/W2347897961","https://openalex.org/W2340870721","https://openalex.org/W2358318464","https://openalex.org/W2979236518","https://openalex.org/W1522196789"],"abstract_inverted_index":{"Segmentation":[0],"of":[1,15,23,32,50,86,100,116,119,200,236],"complex":[2,54,70],"medical":[3,26,33,55,71],"images":[4,34],"such":[5,53],"as":[6],"vascular":[7],"network":[8,12],"and":[9,88,102,112,121,135,166,185,197,202,214,218],"pulmonary":[10],"tracheal":[11],"requires":[13],"segmentation":[14,31,57],"many":[16],"tiny":[17],"targets":[18],"on":[19,36,156,210],"each":[20],"tomographic":[21],"section":[22],"the":[24,84,92,95,106,113,117,124,132,138,144,180],"3-D":[25],"image":[27,56,72],"volume.":[28],"Although":[29],"semantic":[30],"based":[35],"deep":[37],"learning":[38],"has":[39],"made":[40],"great":[41,48],"progress,":[42],"fully":[43,229],"supervised":[44,230],"models":[45],"require":[46],"a":[47,58,66,77,174,186,224,233],"amount":[49],"annotations,":[51],"making":[52],"difficult":[59],"problem.":[60],"In":[61,172],"this":[62],"article,":[63],"we":[64],"propose":[65],"semi-supervised":[67,221],"model":[68,96],"for":[69],"segmentation,":[73],"which":[74],"innovatively":[75],"proposes":[76],"bidirectional":[78,175],"self-training":[79],"paradigm,":[80],"through":[81],"dynamically":[82],"exchanging":[83],"roles":[85,118],"teacher":[87,120],"student":[89,122,169],"by":[90,131,160,223],"estimating":[91],"reliability":[93],"at":[94,232],"level.":[97],"The":[98],"direction":[99],"information":[101],"knowledge":[103],"transfer":[104],"between":[105],"two":[107,211],"networks":[108,149],"can":[109],"be":[110,128],"controlled,":[111],"probability":[114],"distribution":[115],"in":[123,137],"next":[125],"stage":[126],"will":[127],"jointly":[129],"determined":[130],"model's":[133],"uncertainty":[134],"instability":[136],"training":[139,155],"process.":[140],"We":[141,206],"also":[142],"resolve":[143],"problem":[145],"that":[146],"loosely":[147],"coupled":[148],"are":[150,190],"prone":[151],"to":[152,192],"collapse":[153],"when":[154],"small-scale":[157],"annotated":[158],"data":[159],"proposing":[161],"asymmetric":[162],"supervision":[163],"(AS)":[164],"strategy":[165,184],"hierarchical":[167],"dual":[168],"(HDS)":[170],"structure.":[171],"particular,":[173],"distillation":[176],"loss":[177,189],"combined":[178],"with":[179],"role":[181],"exchange":[182],"(RE)":[183],"global-local-aware":[187],"consistency":[188],"introduced":[191],"obtain":[193],"stable":[194],"mutual":[195],"promotion":[196],"achieve":[198],"matching":[199],"global":[201],"local":[203],"features,":[204],"respectively.":[205],"conduct":[207],"detailed":[208],"experiments":[209],"public":[212],"datasets":[213],"one":[215],"private":[216],"dataset":[217],"lead":[219],"existing":[220],"methods":[222],"large":[225],"margin,":[226],"while":[227],"achieving":[228],"performance":[231],"labeling":[234],"cost":[235],"5%.":[237]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":3}],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-10-10T00:00:00"}
