{"id":"https://openalex.org/W2904856451","doi":"https://doi.org/10.1609/aaai.v33i01.33014578","title":"A Two-Stream Mutual Attention Network for Semi-Supervised Biomedical Segmentation with Noisy Labels","display_name":"A Two-Stream Mutual Attention Network for Semi-Supervised Biomedical Segmentation with Noisy Labels","publication_year":2019,"publication_date":"2019-07-17","ids":{"openalex":"https://openalex.org/W2904856451","doi":"https://doi.org/10.1609/aaai.v33i01.33014578","mag":"2904856451"},"language":"en","primary_location":{"id":"doi:10.1609/aaai.v33i01.33014578","doi":"https://doi.org/10.1609/aaai.v33i01.33014578","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.33014578","pdf_url":null,"source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":["jufo-2","norway-1"],"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"volume":null,"type":"conference-paper","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.1609/aaai.v33i01.33014578","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5036335729","display_name":"Shaobo Min","orcid":"https://orcid.org/0000-0002-7700-2149","observed_orcids":["https://orcid.org/0000-0002-7700-2149"]},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaobo Min","raw_affiliation_strings":["University of Science and Technology of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088031350","display_name":"Xuejin Chen","orcid":"https://orcid.org/0000-0003-0478-7018","observed_orcids":["https://orcid.org/0000-0003-0478-7018"]},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuejin Chen","raw_affiliation_strings":["University of Science and Technology of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003217535","display_name":"Zheng-Jun Zha","orcid":"https://orcid.org/0000-0003-2510-8993","observed_orcids":["https://orcid.org/0000-0003-2510-8993"]},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zheng-Jun Zha","raw_affiliation_strings":["University of Science and Technology of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029102289","display_name":"Feng Wu","orcid":"https://orcid.org/0000-0003-3989-0509","observed_orcids":["https://orcid.org/0000-0003-3989-0509"]},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Wu","raw_affiliation_strings":["University of Science and Technology of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046305086","display_name":"Yongdong Zhang","orcid":"https://orcid.org/0000-0002-1151-1792","observed_orcids":["https://orcid.org/0000-0002-1151-1792"]},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongdong Zhang","raw_affiliation_strings":["University of Science and Technology of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China","institution_ids":["https://openalex.org/I126520041"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I126520041"],"apc_list":null,"apc_paid":null,"fwci":3.8425,"has_fulltext":true,"cited_by_count":81,"citation_normalized_percentile":{"value":0.95152148,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"33","issue":"01","first_page":"4578","last_page":"4585"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9937000274658203,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9937000274658203,"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":0.0017000000225380063,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.00139999995008111,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/semi-supervised-learning","display_name":"semi-supervised learning","score":0.8330000042915344},{"id":"https://openalex.org/keywords/medical-image-segmentation","display_name":"medical image segmentation","score":0.8460000157356262},{"id":"https://openalex.org/keywords/noisy-labels","display_name":"label noise","score":0.9950000047683716},{"id":"https://openalex.org/keywords/mutual-attention","display_name":"mutual attention","score":0.7960000038146973},{"id":"https://openalex.org/keywords/two-stream-architecture","display_name":"dual-stream architecture","score":0.8579999804496765},{"id":"https://openalex.org/keywords/pseudo-labeling","display_name":"pseudo-labeling","score":0.7910000085830688},{"id":"https://openalex.org/keywords/knowledge-distillation","display_name":"knowledge distillation","score":0.9229999780654907},{"id":"https://openalex.org/keywords/brain-mri-segmentation","display_name":"brain MRI segmentation","score":0.5040000081062317},{"id":"https://openalex.org/keywords/label-noise-robustness","display_name":"label noise robustness","score":0.5270000100135803}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8062346577644348},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6588418483734131},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6275257468223572},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.5598266124725342},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.49148237705230713},{"id":"https://openalex.org/C2781170535","wikidata":"https://www.wikidata.org/wiki/Q30587856","display_name":"Noisy data","level":2,"score":0.491077184677124},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4817069172859192},{"id":"https://openalex.org/C193415008","wikidata":"https://www.wikidata.org/wiki/Q639681","display_name":"Network architecture","level":2,"score":0.4597800374031067},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.4374709725379944},{"id":"https://openalex.org/C2776145971","wikidata":"https://www.wikidata.org/wiki/Q30673951","display_name":"Labeled data","level":2,"score":0.4284185767173767},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41639241576194763},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.24219810962677002},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1609/aaai.v33i01.33014578","doi":"https://doi.org/10.1609/aaai.v33i01.33014578","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.33014578","pdf_url":null,"source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":["jufo-2","norway-1"],"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:1807.11719","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/1807.11719","pdf_url":"https://arxiv.org/pdf/1807.11719","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:ojs.aaai.org:article/4381","doi":null,"is_oa":true,"landing_page_url":"https://ojs.aaai.org/index.php/AAAI/article/view/4381","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/4381/4259","source":{"id":"https://openalex.org/S4306400155","display_name":"AAAI Publications (The Association for the Advancement of Artificial Intelligence (AAAI))","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I2801652627","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/I2801652627"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2159-5399","raw_type":"info:eu-repo/semantics/article"},{"id":"doi:10.48550/arxiv.1807.11719","doi":"https://doi.org/10.48550/arxiv.1807.11719","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1807.11719","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.1609/aaai.v33i01.33014578","doi":"https://doi.org/10.1609/aaai.v33i01.33014578","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.33014578","pdf_url":null,"source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":["jufo-2","norway-1"],"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G3436566806","display_name":null,"funder_award_id":"61472377","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5683943641","display_name":null,"funder_award_id":"61632006","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6023223561","display_name":null,"funder_award_id":"2017YFC0820600","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G6628091549","display_name":null,"funder_award_id":"WK2380000002","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G8290336390","display_name":null,"funder_award_id":"61525206","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8725580485","display_name":null,"funder_award_id":"91732304","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"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2904856451.pdf","grobid_xml":"https://content.openalex.org/works/W2904856451.grobid-xml"},"referenced_works_count":30,"referenced_works":["https://openalex.org/W753847829","https://openalex.org/W1514535095","https://openalex.org/W1572720249","https://openalex.org/W1605615716","https://openalex.org/W1901129140","https://openalex.org/W1936642637","https://openalex.org/W2000269560","https://openalex.org/W2121056381","https://openalex.org/W2135293965","https://openalex.org/W2145494108","https://openalex.org/W2252268321","https://openalex.org/W2293363371","https://openalex.org/W2464708700","https://openalex.org/W2530816535","https://openalex.org/W2604790786","https://openalex.org/W2608641923","https://openalex.org/W2609211631","https://openalex.org/W2616240092","https://openalex.org/W2741891296","https://openalex.org/W2751665805","https://openalex.org/W2752971446","https://openalex.org/W2780664485","https://openalex.org/W2893382987","https://openalex.org/W2897676901","https://openalex.org/W2951970475","https://openalex.org/W2962891704","https://openalex.org/W2963735582","https://openalex.org/W2963785012","https://openalex.org/W2963854930","https://openalex.org/W2964234160"],"related_works":["https://openalex.org/W2886208056","https://openalex.org/W3177819996","https://openalex.org/W3000423501","https://openalex.org/W4390357262","https://openalex.org/W7117674385","https://openalex.org/W4313527211","https://openalex.org/W4410296402","https://openalex.org/W4413148419","https://openalex.org/W4390874709","https://openalex.org/W4412391630"],"abstract_inverted_index":{"Learning-based":[0],"methods":[1,16],"suffer":[2],"from":[3],"a":[4,41,98,176],"deficiency":[5],"of":[6,51,70,79,87,129,162,194],"clean":[7],"annotations,":[8],"especially":[9],"in":[10,82,97,165],"biomedical":[11],"segmentation.":[12],"Although":[13],"many":[14],"semi-supervised":[15,209],"have":[17],"been":[18],"proposed":[19,67],"to":[20,32,63,92,115,140,181],"provide":[21,182],"extra":[22],"training":[23],"data,":[24,188],"automatically":[25],"generated":[26],"labels":[27,144,164,185],"are":[28,74,122,168],"usually":[29],"too":[30],"noisy":[31,130,163,173],"retrain":[33],"models":[34,81,121,139],"effectively.":[35],"In":[36,113],"this":[37,117],"paper,":[38],"we":[39],"propose":[40],"Two-Stream":[42],"Mutual":[43],"Attention":[44],"Network":[45],"(TSMAN)":[46],"that":[47,73,207],"weakens":[48],"the":[49,60,110,119,126,137,160,172,192,213],"influence":[50,148],"back-propagated":[52],"gradients":[53,96,131],"caused":[54],"by":[55,76,104,170],"incorrect":[56,95,143],"labels,":[57],"thereby":[58],"rendering":[59],"network":[61],"robust":[62],"unclean":[64],"data.":[65],"The":[66,85,196],"TSMAN":[68],"consists":[69],"two":[71],"sub-networks":[72,103],"connected":[75],"three":[77],"types":[78],"attention":[80,89,120,138],"different":[83,133],"layers.":[84,134],"target":[86],"each":[88,166],"model":[90],"is":[91,179],"indicate":[93],"potentially":[94],"certain":[99],"layer":[100],"for":[101,186],"both":[102,199],"analyzing":[105],"their":[106,147],"inferred":[107],"features":[108,156],"using":[109,198],"same":[111],"input.":[112],"order":[114],"achieve":[116],"purpose,":[118],"designed":[123],"based":[124],"on":[125],"propagation":[127],"analysis":[128],"at":[132],"This":[135],"allows":[136],"effectively":[141],"discover":[142],"and":[145,202],"weaken":[146],"during":[149],"parameter":[150],"updating":[151],"process.":[152],"By":[153],"exchanging":[154],"multi-level":[155],"within":[157],"two-stream":[158],"architecture,":[159],"effects":[161],"sub-network":[167],"reduced":[169],"decreasing":[171],"gradients.":[174],"Furthermore,":[175],"hierarchical":[177],"distillation":[178],"developed":[180],"reliable":[183],"pseudo":[184],"unlabelded":[187],"which":[189],"further":[190],"boosts":[191],"performance":[193],"TSMAN.":[195],"experiments":[197],"HVSMR":[200],"2016":[201],"BRATS":[203],"2015":[204],"benchmarks":[205],"demonstrate":[206],"our":[208],"learning":[210],"framework":[211],"surpasses":[212],"state-of-the-art":[214],"fully-supervised":[215],"results.":[216]},"counts_by_year":[{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":15},{"year":2020,"cited_by_count":17},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":1}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2018-12-22T00:00:00"}
