{"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","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.33014578","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/4381/4259","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,"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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://ojs.aaai.org/index.php/AAAI/article/download/4381/4259","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5036335729","display_name":"Shaobo Min","orcid":"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":true,"raw_author_name":"Shaobo Min","raw_affiliation_strings":["University of Science and Technology of China"],"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"},"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"],"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"},"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"],"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"},"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"],"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"},"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"],"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":5,"corresponding_author_ids":["https://openalex.org/A5036335729"],"corresponding_institution_ids":["https://openalex.org/I126520041"],"apc_list":null,"apc_paid":null,"fwci":6.3846,"has_fulltext":true,"cited_by_count":77,"citation_normalized_percentile":{"value":0.96589566,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"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/T10862","display_name":"AI in cancer detection","score":0.9959999918937683,"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":0.9959999918937683,"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9944999814033508,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9925000071525574,"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":0.8062346577644348},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6588418483734131},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6275257468223572},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.5598266124725342},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.49148237705230713},{"id":"https://openalex.org/keywords/noisy-data","display_name":"Noisy data","score":0.491077184677124},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4817069172859192},{"id":"https://openalex.org/keywords/network-architecture","display_name":"Network architecture","score":0.4597800374031067},{"id":"https://openalex.org/keywords/supervised-learning","display_name":"Supervised learning","score":0.4374709725379944},{"id":"https://openalex.org/keywords/labeled-data","display_name":"Labeled data","score":0.4284185767173767},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41639241576194763},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.24219810962677002}],"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":1,"locations":[{"id":"doi:10.1609/aaai.v33i01.33014578","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.33014578","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/4381/4259","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,"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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1609/aaai.v33i01.33014578","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.33014578","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/4381/4259","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,"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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","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":[{"display_name":"Industry, innovation and infrastructure","score":0.5199999809265137,"id":"https://metadata.un.org/sdg/9"}],"awards":[{"id":"https://openalex.org/G1121271761","display_name":null,"funder_award_id":"Program","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1231421488","display_name":null,"funder_award_id":"under","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2376276132","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G2802911279","display_name":null,"funder_award_id":"Young","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"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/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G466649759","display_name":null,"funder_award_id":"2017Y","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G5053610798","display_name":null,"funder_award_id":"2017YFC","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G5616351183","display_name":null,"funder_award_id":"00000","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/G5939423041","display_name":null,"funder_award_id":"Technology","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","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/G6844051781","display_name":null,"funder_award_id":"00000","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/G8340078520","display_name":null,"funder_award_id":"2017YF","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program 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"},{"id":"https://openalex.org/G8951484681","display_name":null,"funder_award_id":"Grant","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"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":37,"referenced_works":["https://openalex.org/W753847829","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/W2604790786","https://openalex.org/W2608641923","https://openalex.org/W2609211631","https://openalex.org/W2616240092","https://openalex.org/W2622100130","https://openalex.org/W2741891296","https://openalex.org/W2752971446","https://openalex.org/W2772804149","https://openalex.org/W2780664485","https://openalex.org/W2893382987","https://openalex.org/W2897676901","https://openalex.org/W2951970475","https://openalex.org/W2952178620","https://openalex.org/W2963488642","https://openalex.org/W2963735582","https://openalex.org/W2963785012","https://openalex.org/W2963854930","https://openalex.org/W6622306955","https://openalex.org/W6680177012","https://openalex.org/W6691441656","https://openalex.org/W6738200535","https://openalex.org/W6746744054","https://openalex.org/W6748207017","https://openalex.org/W6754752926","https://openalex.org/W6764051988"],"related_works":["https://openalex.org/W3162567751","https://openalex.org/W4285260836","https://openalex.org/W4221088574","https://openalex.org/W3094076422","https://openalex.org/W3046775127","https://openalex.org/W4220686584","https://openalex.org/W4319309271","https://openalex.org/W2971361125","https://openalex.org/W3091943846","https://openalex.org/W2953328427"],"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":11},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":19},{"year":2020,"cited_by_count":15},{"year":2019,"cited_by_count":5}],"updated_date":"2026-04-13T07:58:08.660418","created_date":"2025-10-10T00:00:00"}
