{"id":"https://openalex.org/W4406261595","doi":"https://doi.org/10.1109/bibm62325.2024.10822056","title":"Curriculum Learning for Self-Iterative Semi-Supervised Medical Image Segmentation","display_name":"Curriculum Learning for Self-Iterative Semi-Supervised Medical Image Segmentation","publication_year":2024,"publication_date":"2024-12-03","ids":{"openalex":"https://openalex.org/W4406261595","doi":"https://doi.org/10.1109/bibm62325.2024.10822056"},"language":"en","primary_location":{"id":"doi:10.1109/bibm62325.2024.10822056","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm62325.2024.10822056","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-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/A5100324161","display_name":"Jiayu Zhang","orcid":"https://orcid.org/0000-0002-7089-317X"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jiayu Zhang","raw_affiliation_strings":["Peking University,School of Software & Microelectronics,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Peking University,School of Software & Microelectronics,Beijing,China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069390870","display_name":"Dexuan Xu","orcid":"https://orcid.org/0000-0003-3100-5886"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dexuan Xu","raw_affiliation_strings":["Key Laboratory of High Confidence Software Technologies (Peking University),Ministry of Education"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of High Confidence Software Technologies (Peking University),Ministry of Education","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104230937","display_name":"Yanyuan Chen","orcid":"https://orcid.org/0000-0003-1579-5857"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanyuan Chen","raw_affiliation_strings":["Peking University,School of Software & Microelectronics,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Peking University,School of Software & Microelectronics,Beijing,China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071063696","display_name":"Yiwei Lou","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiwei Lou","raw_affiliation_strings":["Key Laboratory of High Confidence Software Technologies (Peking University),Ministry of Education"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of High Confidence Software Technologies (Peking University),Ministry of Education","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001849735","display_name":"Yue Huang","orcid":"https://orcid.org/0000-0001-8563-232X"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yue Huang","raw_affiliation_strings":["Peking University,School of Electronic Engineering and Computer Science,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Peking University,School of Electronic Engineering and Computer Science,Beijing,China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100324161"],"corresponding_institution_ids":["https://openalex.org/I20231570"],"apc_list":null,"apc_paid":null,"fwci":1.292,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.8234829,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1342","last_page":"1349"},"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":0.8932999968528748,"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":0.8932999968528748,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7479974031448364},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.6743581891059875},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5960058569908142},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5861342549324036},{"id":"https://openalex.org/keywords/curriculum","display_name":"Curriculum","score":0.4810805022716522},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.4410710632801056},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.43669384717941284},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.40406760573387146},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33090078830718994},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.08483639359474182}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7479974031448364},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6743581891059875},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5960058569908142},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5861342549324036},{"id":"https://openalex.org/C47177190","wikidata":"https://www.wikidata.org/wiki/Q207137","display_name":"Curriculum","level":2,"score":0.4810805022716522},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.4410710632801056},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.43669384717941284},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40406760573387146},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33090078830718994},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.08483639359474182},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm62325.2024.10822056","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm62325.2024.10822056","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1924762813","https://openalex.org/W2296073425","https://openalex.org/W2804047627","https://openalex.org/W2884436604","https://openalex.org/W2956805085","https://openalex.org/W2962914239","https://openalex.org/W2979632994","https://openalex.org/W2979907638","https://openalex.org/W2992308087","https://openalex.org/W3044738063","https://openalex.org/W3083779147","https://openalex.org/W3093394156","https://openalex.org/W3142849873","https://openalex.org/W3176224216","https://openalex.org/W3202103480","https://openalex.org/W3203046931","https://openalex.org/W3203488660","https://openalex.org/W4225895868","https://openalex.org/W4307823382","https://openalex.org/W4366779622","https://openalex.org/W4386075748","https://openalex.org/W4390992135","https://openalex.org/W4391528813","https://openalex.org/W4391929611","https://openalex.org/W4392904688","https://openalex.org/W4402669230","https://openalex.org/W4403792044","https://openalex.org/W4404007442","https://openalex.org/W4406261673","https://openalex.org/W6733814495","https://openalex.org/W6743428213","https://openalex.org/W6754005058","https://openalex.org/W6755207826"],"related_works":["https://openalex.org/W1986655823","https://openalex.org/W2185902295","https://openalex.org/W2103507220","https://openalex.org/W3144569342","https://openalex.org/W3011384228","https://openalex.org/W2124969951","https://openalex.org/W2945274617","https://openalex.org/W4313052709","https://openalex.org/W4298131179","https://openalex.org/W2375430703"],"abstract_inverted_index":{"Self-training":[0],"with":[1],"data":[2,12,39,50,66,73],"augmentation":[3,67],"emerges":[4],"as":[5,77],"an":[6],"efficacious":[7],"strategy":[8],"for":[9],"harnessing":[10],"unlabeled":[11,49,83],"in":[13,126],"the":[14,22,46,53,62,90,95,109,114,116,120,124,158],"realm":[15],"of":[16,33,64,97,119,171],"semi-supervised":[17],"medical":[18],"image":[19],"segmentation.":[20],"Within":[21],"synthetic":[23],"domain,":[24],"existing":[25,175],"models":[26,151],"make":[27],"a":[28,71,78,168],"deliberate":[29],"trade-off,":[30],"sacrificing":[31],"some":[32],"its":[34,42],"absolute":[35],"performance":[36],"on":[37,45],"labeled":[38,81],"to":[40,69,135,142],"bolster":[41],"generalization":[43],"capabilities":[44],"predominantly":[47],"abundant":[48],"encompassed":[51],"within":[52],"entire":[54],"dataset.":[55],"In":[56,140],"this":[57,86,144],"study,":[58],"we":[59,88,148],"find":[60],"out":[61],"essence":[63],"employing":[65],"techniques":[68],"create":[70],"proxy":[72],"domain":[74],"that":[75,152],"serves":[76],"bridge":[79],"between":[80],"and":[82,108,177],"data.":[84],"To":[85],"end,":[87],"optimize":[89],"aforementioned":[91],"approach":[92,162],"by":[93],"incorporating":[94],"concept":[96],"curriculum":[98],"learning,":[99],"which":[100],"encompasses":[101],"two":[102],"primary":[103],"components:":[104],"Dynamic":[105],"Copy-Paste":[106],"strategies":[107],"Self-Iterative":[110],"Segmentation":[111],"Model.":[112],"Concerning":[113],"former,":[115],"dynamic":[117],"scaling":[118],"copy-paste":[121],"box":[122],"guides":[123],"model":[125],"acquiring":[127],"shared":[128],"semantics,":[129],"progressing":[130],"from":[131],"easier":[132],"(labeled":[133],"data)":[134],"more":[136],"challenging":[137],"(unlabeled":[138],"data).":[139],"order":[141],"facilitate":[143],"incremental":[145],"learning":[146],"process,":[147],"have":[149],"devised":[150],"supports":[153],"progressive":[154],"iterative":[155],"evolution":[156],"throughout":[157],"training":[159],"phase.":[160],"Our":[161],"has":[163],"demonstrated":[164],"remarkable":[165],"efficacy":[166],"through":[167],"comprehensive":[169],"series":[170],"benchmarks,":[172],"consistently":[173],"outperforming":[174],"methods":[176],"achieving":[178],"state-of-the-art":[179],"performance.":[180]},"counts_by_year":[{"year":2025,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}