{"id":"https://openalex.org/W4401749138","doi":"https://doi.org/10.1109/isbi56570.2024.10635443","title":"Semi-Supervised Medical Image Segmentation Method Based on Cross-Pseudo Labeling Leveraging Strong and Weak Data Augmentation Strategies","display_name":"Semi-Supervised Medical Image Segmentation Method Based on Cross-Pseudo Labeling Leveraging Strong and Weak Data Augmentation Strategies","publication_year":2024,"publication_date":"2024-05-27","ids":{"openalex":"https://openalex.org/W4401749138","doi":"https://doi.org/10.1109/isbi56570.2024.10635443"},"language":"en","primary_location":{"id":"doi:10.1109/isbi56570.2024.10635443","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi56570.2024.10635443","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5000077290","display_name":"Yifei Chen","orcid":"https://orcid.org/0000-0002-6389-3964"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yifei Chen","raw_affiliation_strings":["Hangzhou Dianzi University,Hangzhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hangzhou Dianzi University,Hangzhou,China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082133044","display_name":"Chen\u2010Yan Zhang","orcid":"https://orcid.org/0000-0003-2910-7904"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenyan Zhang","raw_affiliation_strings":["Hangzhou Dianzi University,Hangzhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hangzhou Dianzi University,Hangzhou,China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100578189","display_name":"Yifan Ke","orcid":null},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yifan Ke","raw_affiliation_strings":["Hangzhou Dianzi University,Hangzhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hangzhou Dianzi University,Hangzhou,China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100584979","display_name":"Yiyu Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiyu Huang","raw_affiliation_strings":["Hangzhou Dianzi University,Hangzhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hangzhou Dianzi University,Hangzhou,China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5105892596","display_name":"Xuezhou Dai","orcid":null},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuezhou Dai","raw_affiliation_strings":["Hangzhou Dianzi University,Hangzhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hangzhou Dianzi University,Hangzhou,China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052124467","display_name":"Feiwei Qin","orcid":"https://orcid.org/0000-0001-5036-9365"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feiwei Qin","raw_affiliation_strings":["Hangzhou Dianzi University,Hangzhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hangzhou Dianzi University,Hangzhou,China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011184824","display_name":"Yongquan Zhang","orcid":"https://orcid.org/0000-0002-5765-0923"},"institutions":[{"id":"https://openalex.org/I90727586","display_name":"Zhejiang University of Finance and Economics","ror":"https://ror.org/055vj5234","country_code":"CN","type":"education","lineage":["https://openalex.org/I90727586"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongquan Zhang","raw_affiliation_strings":["Zhejiang University of Finance and Economics,Hangzhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang University of Finance and Economics,Hangzhou,China","institution_ids":["https://openalex.org/I90727586"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101987503","display_name":"Xiaodong Zhang","orcid":"https://orcid.org/0000-0002-2601-5089"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaodong Zhang","raw_affiliation_strings":["Chinese Academy of Sciences,Shenzhen Institute of Advanced Technology,Shenzhen,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences,Shenzhen Institute of Advanced Technology,Shenzhen,China","institution_ids":["https://openalex.org/I4210145761","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063406130","display_name":"Changmiao Wang","orcid":"https://orcid.org/0000-0003-2466-5990"},"institutions":[{"id":"https://openalex.org/I4210099586","display_name":"Shenzhen Research Institute of Big Data","ror":"https://ror.org/00z1gwf89","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210099586"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Changmiao Wang","raw_affiliation_strings":["Shenzhen Research Institute of Big Data,Shenzhen,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen Research Institute of Big Data,Shenzhen,China","institution_ids":["https://openalex.org/I4210099586"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9993000030517578,"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":0.9993000030517578,"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":0.9987000226974487,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/computer-science","display_name":"Computer science","score":0.7271067500114441},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.6909929513931274},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6199185252189636},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5984077453613281},{"id":"https://openalex.org/keywords/labeled-data","display_name":"Labeled data","score":0.4499073624610901},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.43534934520721436},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4292936325073242},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37820473313331604}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7271067500114441},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6909929513931274},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6199185252189636},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5984077453613281},{"id":"https://openalex.org/C2776145971","wikidata":"https://www.wikidata.org/wiki/Q30673951","display_name":"Labeled data","level":2,"score":0.4499073624610901},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.43534934520721436},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4292936325073242},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37820473313331604}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi56570.2024.10635443","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi56570.2024.10635443","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322927","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884"},{"id":"https://openalex.org/F4320338464","display_name":"Natural Science Foundation of Zhejiang Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2037227137","https://openalex.org/W2412782625","https://openalex.org/W2623808523","https://openalex.org/W2997286550","https://openalex.org/W3001197829","https://openalex.org/W3030790048","https://openalex.org/W3033511014","https://openalex.org/W3107695429","https://openalex.org/W3123982987","https://openalex.org/W3171581326","https://openalex.org/W4312328737","https://openalex.org/W4382240146","https://openalex.org/W6773005947"],"related_works":["https://openalex.org/W4379231730","https://openalex.org/W4389858081","https://openalex.org/W2501551404","https://openalex.org/W4385583601","https://openalex.org/W4298131179","https://openalex.org/W2113201962","https://openalex.org/W4395685956","https://openalex.org/W2799953226","https://openalex.org/W4398146871","https://openalex.org/W1522196789"],"abstract_inverted_index":{"Traditional":[0],"supervised":[1],"learning":[2,88],"methods":[3],"have":[4],"historically":[5],"encountered":[6],"certain":[7],"constraints":[8],"in":[9],"medical":[10],"image":[11],"segmentation":[12],"due":[13],"to":[14,69,95],"the":[15,41,47,63,70,93,118],"challenging":[16],"collection":[17],"process,":[18],"high":[19],"labeling":[20],"cost,":[21],"low":[22],"signal-to-noise":[23],"ratio,":[24],"and":[25,50,73,114],"complex":[26],"features":[27],"characterizing":[28],"biomedical":[29],"images.":[30],"This":[31,44,91],"paper":[32],"proposes":[33],"a":[34],"semi-supervised":[35],"model,":[36],"DFCPS,":[37],"which":[38],"innovatively":[39],"incorporates":[40],"Fixmatch":[42],"concept.":[43],"significantly":[45],"enhances":[46],"model's":[48],"performance":[49],"generalizability":[51],"through":[52],"data":[53],"augmentation":[54],"processing,":[55],"employing":[56],"varied":[57],"strategies":[58],"for":[59],"unlabeled":[60,131],"data.":[61],"Concurrently,":[62],"model":[64,94,108,134],"design":[65],"gives":[66],"appropriate":[67],"emphasis":[68],"generation,":[71],"filtration,":[72],"refinement":[74],"processes":[75],"of":[76,81,130],"pseudo-labels.":[77],"The":[78,106],"novel":[79],"concept":[80],"cross-":[82],"pseudo-supervision":[83],"is":[84,109,142],"introduced,":[85],"integrating":[86],"consistency":[87],"with":[89,111],"self-training.":[90],"enables":[92],"fully":[96],"leverage":[97],"pseudo-labels":[98],"from":[99],"multiple":[100],"perspectives,":[101],"thereby":[102],"enhancing":[103],"training":[104],"diversity.":[105],"DFCPS":[107],"compared":[110],"both":[112],"baseline":[113],"advanced":[115],"models":[116],"using":[117],"publicly":[119],"accessible":[120],"Kvasir-SEG":[121],"dataset.":[122],"Across":[123],"all":[124],"four":[125],"subdivisions":[126],"containing":[127],"different":[128],"proportions":[129],"data,":[132],"our":[133],"consistently":[135],"exhibits":[136],"superior":[137],"performance.":[138],"Our":[139],"source":[140],"code":[141],"available":[143],"at":[144],"https://github.com/JustlfC03/DFCPS.":[145]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
