{"id":"https://openalex.org/W4312775756","doi":"https://doi.org/10.1109/sibgrapi55357.2022.9991767","title":"Domain Generalization in Medical Image Segmentation via Meta-Learners","display_name":"Domain Generalization in Medical Image Segmentation via Meta-Learners","publication_year":2022,"publication_date":"2022-10-24","ids":{"openalex":"https://openalex.org/W4312775756","doi":"https://doi.org/10.1109/sibgrapi55357.2022.9991767"},"language":"en","primary_location":{"id":"doi:10.1109/sibgrapi55357.2022.9991767","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sibgrapi55357.2022.9991767","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 35th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI)","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/A5015805112","display_name":"Hugo Oliveira","orcid":"https://orcid.org/0000-0001-8760-9801"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hugo Oliveira","raw_affiliation_strings":["Institute of Mathematics and Statistics Universidade de S&#x00E3;o Paulo,S&#x00E3;o Paulo,Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Mathematics and Statistics Universidade de S&#x00E3;o Paulo,S&#x00E3;o Paulo,Brazil","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090955523","display_name":"Roberto M. C\u00e9sar","orcid":"https://orcid.org/0000-0003-2701-4288"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Roberto M. Cesar","raw_affiliation_strings":["Institute of Mathematics and Statistics Universidade de S&#x00E3;o Paulo,S&#x00E3;o Paulo,Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Mathematics and Statistics Universidade de S&#x00E3;o Paulo,S&#x00E3;o Paulo,Brazil","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078401802","display_name":"Pedro H. T. Gama","orcid":"https://orcid.org/0000-0002-9802-593X"},"institutions":[{"id":"https://openalex.org/I110200422","display_name":"Universidade Federal de Minas Gerais","ror":"https://ror.org/0176yjw32","country_code":"BR","type":"education","lineage":["https://openalex.org/I110200422"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Pedro H. T. Gama","raw_affiliation_strings":["Universidade Federal de Minas Gerais,Department of Computer Science,Belo Horizonte,Brazil","Department of Computer Science, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidade Federal de Minas Gerais,Department of Computer Science,Belo Horizonte,Brazil","institution_ids":["https://openalex.org/I110200422"]},{"raw_affiliation_string":"Department of Computer Science, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil","institution_ids":["https://openalex.org/I110200422"]}]},{"author_position":"last","author":{"id":null,"display_name":"Jefersson A. Dos Santos","orcid":null},"institutions":[{"id":"https://openalex.org/I12093191","display_name":"University of Stirling","ror":"https://ror.org/045wgfr59","country_code":"GB","type":"education","lineage":["https://openalex.org/I12093191"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Jefersson A. Dos Santos","raw_affiliation_strings":["University of Stirling,Computing Science and Mathematics,Stirling,Scotland,UK","Computing Science and Mathematics, University of Stirling, Stirling, Scotland, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Stirling,Computing Science and Mathematics,Stirling,Scotland,UK","institution_ids":["https://openalex.org/I12093191"]},{"raw_affiliation_string":"Computing Science and Mathematics, University of Stirling, Stirling, Scotland, UK","institution_ids":["https://openalex.org/I12093191"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.5146,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.85748909,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"288","last_page":"293"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9977999925613403,"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9977999925613403,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9958999752998352,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8050848841667175},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.76519775390625},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.751137375831604},{"id":"https://openalex.org/keywords/meta-learning","display_name":"Meta learning (computer science)","score":0.6777398586273193},{"id":"https://openalex.org/keywords/categorization","display_name":"Categorization","score":0.626155436038971},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.6143531203269958},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6065284609794617},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5258727073669434},{"id":"https://openalex.org/keywords/supervised-learning","display_name":"Supervised learning","score":0.5140758752822876},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.48846235871315},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4603026509284973},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4527003765106201},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.38805216550827026},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3606414198875427}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8050848841667175},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.76519775390625},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.751137375831604},{"id":"https://openalex.org/C2781002164","wikidata":"https://www.wikidata.org/wiki/Q6822311","display_name":"Meta learning (computer science)","level":3,"score":0.6777398586273193},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.626155436038971},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.6143531203269958},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6065284609794617},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5258727073669434},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.5140758752822876},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.48846235871315},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4603026509284973},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4527003765106201},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.38805216550827026},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3606414198875427},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/sibgrapi55357.2022.9991767","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sibgrapi55357.2022.9991767","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 35th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.49000000953674316,"display_name":"Quality Education"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320308239","display_name":"EMI","ror":"https://ror.org/01qstkr73"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":65,"referenced_works":["https://openalex.org/W304373761","https://openalex.org/W1861492603","https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W2037227137","https://openalex.org/W2089213632","https://openalex.org/W2108598243","https://openalex.org/W2145680191","https://openalex.org/W2163605009","https://openalex.org/W2514575318","https://openalex.org/W2601450892","https://openalex.org/W2611650229","https://openalex.org/W2742093937","https://openalex.org/W2786808285","https://openalex.org/W2787501667","https://openalex.org/W2794363191","https://openalex.org/W2808912095","https://openalex.org/W2909975338","https://openalex.org/W2911779594","https://openalex.org/W2912664121","https://openalex.org/W2962914239","https://openalex.org/W2963070905","https://openalex.org/W2963341924","https://openalex.org/W2963351448","https://openalex.org/W2964206659","https://openalex.org/W2964288524","https://openalex.org/W2990230185","https://openalex.org/W2995049146","https://openalex.org/W3003808128","https://openalex.org/W3020979722","https://openalex.org/W3023371261","https://openalex.org/W3035524453","https://openalex.org/W3036224891","https://openalex.org/W3089250090","https://openalex.org/W3092053846","https://openalex.org/W3095569631","https://openalex.org/W3101156210","https://openalex.org/W3132722715","https://openalex.org/W3135120767","https://openalex.org/W3154934604","https://openalex.org/W3163842339","https://openalex.org/W3171007011","https://openalex.org/W3192998578","https://openalex.org/W3194536701","https://openalex.org/W3197177058","https://openalex.org/W4300514939","https://openalex.org/W4302287089","https://openalex.org/W6684191040","https://openalex.org/W6717697761","https://openalex.org/W6720057410","https://openalex.org/W6726088282","https://openalex.org/W6735236233","https://openalex.org/W6736057607","https://openalex.org/W6742288159","https://openalex.org/W6746282794","https://openalex.org/W6747943641","https://openalex.org/W6750222692","https://openalex.org/W6751959828","https://openalex.org/W6752232076","https://openalex.org/W6752846148","https://openalex.org/W6768532476","https://openalex.org/W6771021294","https://openalex.org/W6774314701","https://openalex.org/W6779997284","https://openalex.org/W6783978205"],"related_works":["https://openalex.org/W2165912799","https://openalex.org/W2735662278","https://openalex.org/W2382615723","https://openalex.org/W4311804456","https://openalex.org/W1987484445","https://openalex.org/W4250128246","https://openalex.org/W2933653026","https://openalex.org/W4283332751","https://openalex.org/W4319862287","https://openalex.org/W4224233909"],"abstract_inverted_index":{"Automatic":[0],"and":[1,24,116,151],"semi-automatic":[2],"radiological":[3],"image":[4],"segmentation":[5,28,127,166],"can":[6],"help":[7],"physicians":[8],"in":[9,62,101],"the":[10,58,63,89,114],"processing":[11],"of":[12,22,40,49,80,92,113,119,123],"real-world":[13],"medical":[14],"data":[15,82],"for":[16,135,148],"several":[17],"tasks":[18],"such":[19],"as":[20],"detection/diagnosis":[21],"diseases":[23],"surgery":[25],"planning.":[26],"Current":[27],"methods":[29,147],"based":[30],"on":[31,77],"neural":[32],"networks":[33],"are":[34,54],"highly":[35,131],"data-driven,":[36],"often":[37],"requiring":[38],"hundreds":[39],"laborious":[41],"annotations":[42],"to":[43,73,87,99,129,144,157,163],"properly":[44],"converge.":[45],"The":[46],"generalization":[47,90],"capabilities":[48,91],"traditional":[50,93],"supervised":[51,94],"deep":[52,126],"learning":[53,95],"also":[55,154],"limited":[56],"by":[57,96],"insufficient":[59],"variability":[60],"present":[61,110],"training":[64,97],"dataset.":[65],"One":[66],"very":[67],"proliferous":[68],"research":[69],"field":[70],"that":[71],"aims":[72,86],"alleviate":[74],"this":[75,107,121],"dependence":[76],"large":[78],"numbers":[79],"labeled":[81],"is":[83],"Meta-Learning.":[84],"Meta-Learning":[85,146],"improve":[88],"models":[98],"learn":[100],"a":[102,142,164],"label":[103],"efficient":[104],"manner.":[105],"In":[106],"tutorial":[108],"we":[109],"an":[111],"overview":[112],"literature":[115],"proposed":[117],"ways":[118],"merging":[120],"body":[122],"knowledge":[124],"with":[125],"architectures":[128],"produce":[130],"adaptable":[132],"multi-task":[133],"meta-models":[134],"few-shot":[136,161],"weakly-supervised":[137,165],"semantic":[138],"segmentation.":[139],"We":[140],"introduce":[141],"taxonomy":[143],"categorize":[145],"both":[149],"classification":[150],"segmentation,":[152],"while":[153],"discussing":[155],"how":[156],"adapt":[158],"potentially":[159],"any":[160],"meta-learner":[162],"task.":[167]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
