{"id":"https://openalex.org/W7126079907","doi":"https://doi.org/10.1109/bibm66473.2025.11356288","title":"Multi-Scale Global-Instance Prompt Tuning for Continual Test-Time Adaptation in Medical Image Segmentation","display_name":"Multi-Scale Global-Instance Prompt Tuning for Continual Test-Time Adaptation in Medical Image Segmentation","publication_year":2025,"publication_date":"2025-12-15","ids":{"openalex":"https://openalex.org/W7126079907","doi":"https://doi.org/10.1109/bibm66473.2025.11356288"},"language":"en","primary_location":{"id":"doi:10.1109/bibm66473.2025.11356288","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm66473.2025.11356288","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.1109/BIBM66473.2025.11356288","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5013982346","display_name":"Lingrui Li","orcid":"https://orcid.org/0000-0001-7336-3396"},"institutions":[{"id":"https://openalex.org/I142263535","display_name":"University of Nottingham","ror":"https://ror.org/01ee9ar58","country_code":"GB","type":"education","lineage":["https://openalex.org/I142263535"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Lingrui Li","raw_affiliation_strings":["School of Computer Science, University of Nottingham,UK"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, University of Nottingham,UK","institution_ids":["https://openalex.org/I142263535"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124182473","display_name":"Yanfeng Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]},{"id":"https://openalex.org/I4210164862","display_name":"Artificial Intelligence in Medicine (Canada)","ror":"https://ror.org/05p590m36","country_code":"CA","type":"company","lineage":["https://openalex.org/I4210164862"]}],"countries":["CA","CN"],"is_corresponding":false,"raw_author_name":"Yanfeng Zhou","raw_affiliation_strings":["School of Artificial Intelligence, Shenzhen University,China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Shenzhen University,China","institution_ids":["https://openalex.org/I4210164862","https://openalex.org/I4210100255"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049953967","display_name":"Nan Pu","orcid":"https://orcid.org/0000-0002-2179-8301"},"institutions":[{"id":"https://openalex.org/I193223587","display_name":"University of Trento","ror":"https://ror.org/05trd4x28","country_code":"IT","type":"education","lineage":["https://openalex.org/I193223587"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Nan Pu","raw_affiliation_strings":["University of Trento,Department of Information Engineering and Computer Science,Italy"],"affiliations":[{"raw_affiliation_string":"University of Trento,Department of Information Engineering and Computer Science,Italy","institution_ids":["https://openalex.org/I193223587"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124213741","display_name":"Xin Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I142263535","display_name":"University of Nottingham","ror":"https://ror.org/01ee9ar58","country_code":"GB","type":"education","lineage":["https://openalex.org/I142263535"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Xin Chen","raw_affiliation_strings":["School of Computer Science, University of Nottingham,UK"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, University of Nottingham,UK","institution_ids":["https://openalex.org/I142263535"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5124283601","display_name":"Zhun Zhong","orcid":null},"institutions":[{"id":"https://openalex.org/I142263535","display_name":"University of Nottingham","ror":"https://ror.org/01ee9ar58","country_code":"GB","type":"education","lineage":["https://openalex.org/I142263535"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Zhun Zhong","raw_affiliation_strings":["School of Computer Science, University of Nottingham,UK"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, University of Nottingham,UK","institution_ids":["https://openalex.org/I142263535"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5013982346"],"corresponding_institution_ids":["https://openalex.org/I142263535"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.84079321,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2395","last_page":"2402"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.8490999937057495,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.8490999937057495,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.04390000179409981,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.030799999833106995,"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/adaptation","display_name":"Adaptation (eye)","score":0.7414000034332275},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6248000264167786},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.4805999994277954},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4499000012874603},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4447000026702881},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.3817000091075897}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8033999800682068},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.7414000034332275},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6248000264167786},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5824000239372253},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.4805999994277954},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.44999998807907104},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4499000012874603},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4447000026702881},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.3817000091075897},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3472999930381775},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33399999141693115},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3172999918460846},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.31290000677108765},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.29660001397132874},{"id":"https://openalex.org/C81293917","wikidata":"https://www.wikidata.org/wiki/Q4189534","display_name":"System deployment","level":3,"score":0.2946999967098236},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.29100000858306885},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.25459998846054077}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/bibm66473.2025.11356288","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm66473.2025.11356288","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"},{"id":"pmh:oai:nottingham-repository.worktribe.com:54938766","is_oa":true,"landing_page_url":"https://doi.org/10.1109/BIBM66473.2025.11356288","pdf_url":null,"source":{"id":"https://openalex.org/S4306402481","display_name":"Repository@Nottingham (University of Nottingham)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I142263535","host_organization_name":"University of Nottingham","host_organization_lineage":["https://openalex.org/I142263535"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"acceptedVersion"}],"best_oa_location":{"id":"pmh:oai:nottingham-repository.worktribe.com:54938766","is_oa":true,"landing_page_url":"https://doi.org/10.1109/BIBM66473.2025.11356288","pdf_url":null,"source":{"id":"https://openalex.org/S4306402481","display_name":"Repository@Nottingham (University of Nottingham)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I142263535","host_organization_name":"University of Nottingham","host_organization_lineage":["https://openalex.org/I142263535"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"acceptedVersion"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.45037299394607544}],"awards":[{"id":"https://openalex.org/G8829899445","display_name":null,"funder_award_id":"62572166","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"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1974969377","https://openalex.org/W2008359794","https://openalex.org/W2021088830","https://openalex.org/W2034786340","https://openalex.org/W2194775991","https://openalex.org/W2606534623","https://openalex.org/W2928165649","https://openalex.org/W2949736877","https://openalex.org/W2963529609","https://openalex.org/W2963868681","https://openalex.org/W2964184998","https://openalex.org/W2979448322","https://openalex.org/W2997286550","https://openalex.org/W3035294798","https://openalex.org/W3185341429","https://openalex.org/W3215113235","https://openalex.org/W4233415207","https://openalex.org/W4281848323","https://openalex.org/W4285099108","https://openalex.org/W4299652825","https://openalex.org/W4312651322","https://openalex.org/W4312897837","https://openalex.org/W4382239347","https://openalex.org/W4390872972","https://openalex.org/W4390874837","https://openalex.org/W4394596933","https://openalex.org/W4402716191","https://openalex.org/W4405718304"],"related_works":[],"abstract_inverted_index":{"Distribution":[0],"shift":[1],"is":[2],"a":[3,36,154,195],"common":[4],"challenge":[5],"in":[6,23,69,247],"medical":[7,213],"images":[8],"obtained":[9],"from":[10,62],"different":[11,180],"clinical":[12],"centers,":[13],"significantly":[14],"hindering":[15],"the":[16,80],"deployment":[17],"of":[18,107,113,131,147],"pre-trained":[19],"semantic":[20],"segmentation":[21,215],"models":[22],"real-world":[24],"applications":[25],"across":[26,179,235],"multiple":[27],"domains.":[28,48,239],"Continual":[29],"Test-Time":[30],"Adaptation":[31],"(CTTA)":[32],"has":[33],"emerged":[34],"as":[35,133,135],"promising":[37,94],"approach":[38],"to":[39,78,127,166,182],"address":[40],"cross-domain":[41],"distribution":[42],"shifts":[43],"during":[44],"continually":[45,236],"evolving":[46],"target":[47,238],"Most":[49],"existing":[50],"CTTA":[51,249],"methods":[52],"rely":[53],"on":[54,212],"incrementally":[55],"updating":[56,85],"model":[57],"parameters,":[58],"which":[59],"inevitably":[60],"suffer":[61],"error":[63,168],"accumulation":[64,169],"and":[65,110,153,163,207,221],"catastrophic":[66],"forgetting,":[67],"especially":[68],"long-term":[70],"adaptation.":[71],"Recent":[72],"prompt-tuning-based":[73],"works":[74],"have":[75,92],"shown":[76],"potential":[77],"mitigate":[79,167],"two":[81],"issues":[82],"above":[83],"by":[84],"only":[86],"visual":[87],"prompts.":[88],"While":[89],"these":[90,118],"approaches":[91],"demonstrated":[93],"performance,":[95],"several":[96],"limitations":[97],"remain:":[98],"1)":[99],"lacking":[100],"multi-scale":[101],"prompt":[102],"diversity,":[103],"2)":[104],"inadequate":[105],"incorporation":[106],"instance-specific":[108,164],"knowledge,":[109],"3)":[111],"risk":[112],"privacy":[114],"leakage.":[115],"To":[116],"overcome":[117],"limitations,":[119],"we":[120],"propose":[121],"Multi-scale":[122,155],"Global-Instance":[123],"Prompt":[124,151,157],"Tuning":[125],"(MGIPT),":[126],"enhance":[128],"scale":[129],"diversity":[130],"prompts":[132,165],"well":[134],"capture":[136],"both":[137,205],"globaland":[138],"instance-level":[139],"knowledge":[140,178],"for":[141],"robust":[142,184,233],"CTTA.":[143],"Specifically,":[144],"MGIPT":[145,228,242],"consists":[146],"an":[148],"Adaptive-scale":[149],"Instance":[150],"(AIP)":[152],"Global-level":[156],"(MGP).":[158],"AIP":[159],"dynamically":[160],"learns":[161],"lightweight":[162],"with":[170,186],"adaptive":[171],"optimal-scale":[172],"selection":[173],"mechanism.":[174],"MGP":[175],"captures":[176],"domain-level":[177],"scales":[181],"ensure":[183],"adaptation":[185,202,234],"anti-forgetting":[187,253],"capabilities.":[188],"These":[189],"complementary":[190],"components":[191],"are":[192],"combined":[193],"through":[194],"weighted":[196],"ensemble":[197],"approach,":[198],"enabling":[199],"effective":[200],"dual-level":[201],"that":[203,226],"integrates":[204],"global":[206],"local":[208],"information.":[209],"Extensive":[210],"experiments":[211],"image":[214],"benchmarks":[216],"(five":[217],"optic":[218],"disc/cup":[219],"datasets":[220],"four":[222],"polyp":[223],"datasets)":[224],"demonstrate":[225],"our":[227,241],"outperforms":[229],"state-of-the-art":[230],"methods,":[231],"achieving":[232],"changing":[237],"Notably,":[240],"exhibits":[243],"particularly":[244],"strong":[245],"performance":[246],"longterm":[248],"scenarios,":[250],"showing":[251],"great":[252],"ability.":[254]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2026-01-30T00:00:00"}