{"id":"https://openalex.org/W7126036938","doi":"https://doi.org/10.1109/bibm66473.2025.11356612","title":"Exploring Fine-Tuning of Heterogeneous Foundation Models for Medical Image Segmentation","display_name":"Exploring Fine-Tuning of Heterogeneous Foundation Models for Medical Image Segmentation","publication_year":2025,"publication_date":"2025-12-15","ids":{"openalex":"https://openalex.org/W7126036938","doi":"https://doi.org/10.1109/bibm66473.2025.11356612"},"language":null,"primary_location":{"id":"doi:10.1109/bibm66473.2025.11356612","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm66473.2025.11356612","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":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Chongkai Wang","orcid":null},"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":"Chongkai Wang","raw_affiliation_strings":["School of Computer Science and Technology, University of Science and Technology of China,Hefei,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, University of Science and Technology of China,Hefei,China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101091652","display_name":"Shouhong Wan","orcid":null},"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":"Shouhong Wan","raw_affiliation_strings":["School of Computer Science and Technology, University of Science and Technology of China,Hefei,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, University of Science and Technology of China,Hefei,China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124280843","display_name":"Hantao Zhang","orcid":null},"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":"Hantao Zhang","raw_affiliation_strings":["School of Computer Science and Technology, University of Science and Technology of China,Hefei,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, University of Science and Technology of China,Hefei,China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"last","author":{"id":null,"display_name":"Peiquan Jin","orcid":null},"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":"Peiquan Jin","raw_affiliation_strings":["School of Computer Science and Technology, University of Science and Technology of China,Hefei,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, University of Science and Technology of China,Hefei,China","institution_ids":["https://openalex.org/I126520041"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I126520041"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.61965597,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"4171","last_page":"4174"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.7529000043869019,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.7529000043869019,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.039400000125169754,"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/T14510","display_name":"Medical Imaging and Analysis","score":0.025200000032782555,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"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/segmentation","display_name":"Segmentation","score":0.737500011920929},{"id":"https://openalex.org/keywords/upsampling","display_name":"Upsampling","score":0.6873999834060669},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5375000238418579},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5065000057220459},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.37529999017715454},{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.3619999885559082},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3264999985694885}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7422999739646912},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.737500011920929},{"id":"https://openalex.org/C110384440","wikidata":"https://www.wikidata.org/wiki/Q1143270","display_name":"Upsampling","level":3,"score":0.6873999834060669},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6226999759674072},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5375000238418579},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5065000057220459},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.46239998936653137},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.37529999017715454},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.3619999885559082},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3264999985694885},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3165000081062317},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.3125},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3057999908924103},{"id":"https://openalex.org/C2780966255","wikidata":"https://www.wikidata.org/wiki/Q5474306","display_name":"Foundation (evidence)","level":2,"score":0.3046000003814697},{"id":"https://openalex.org/C177284502","wikidata":"https://www.wikidata.org/wiki/Q1005390","display_name":"Adapter (computing)","level":2,"score":0.2883000075817108},{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.28369998931884766},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.25060001015663147}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm66473.2025.11356612","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm66473.2025.11356612","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"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2008359794","https://openalex.org/W2021088830","https://openalex.org/W2285968993","https://openalex.org/W2560328367","https://openalex.org/W2611650229","https://openalex.org/W2928133111","https://openalex.org/W2997286550","https://openalex.org/W2999580839","https://openalex.org/W3096947210","https://openalex.org/W3164654615","https://openalex.org/W3197957534","https://openalex.org/W4248270718","https://openalex.org/W4312568229","https://openalex.org/W4321232185","https://openalex.org/W4382877880","https://openalex.org/W4387225742","https://openalex.org/W4391109864","https://openalex.org/W4393571644","https://openalex.org/W4400881081","https://openalex.org/W4409262734","https://openalex.org/W4409680827","https://openalex.org/W4411884653"],"related_works":[],"abstract_inverted_index":{"Pre-trained":[0],"medical":[1],"vision":[2],"foundation":[3],"models":[4],"have":[5],"exhibited":[6],"strong":[7],"generalization":[8],"across":[9,34,74],"diverse":[10],"tasks.":[11,96],"However,":[12],"the":[13],"diversity":[14],"of":[15,53],"imaging":[16],"modalities":[17],"and":[18,68,110],"segmentation":[19,95,101],"requirements":[20],"often":[21],"leads":[22],"to":[23,30,71,91],"heterogeneous":[24,54,75],"model":[25,36],"architectures,":[26],"making":[27],"it":[28],"difficult":[29],"adapt":[31],"pre-trained":[32,55],"weights":[33],"different":[35],"architectures.":[37],"To":[38],"address":[39],"these":[40],"limitations,":[41],"we":[42],"propose":[43],"DU-Adapter,":[44],"a":[45,59,78],"parameter-efficient":[46],"fine-tuning":[47],"framework":[48],"designed":[49],"for":[50],"cross-architecture":[51],"adaptation":[52],"weights.":[56],"It":[57],"features":[58],"densely":[60],"connected":[61],"U-shaped":[62],"adapter":[63],"with":[64,117],"learnable":[65],"convolutional":[66],"downsampling":[67],"upsampling":[69],"modules":[70],"align":[72],"representations":[73],"models.":[76],"Additionally,":[77],"depth-adjustable":[79],"dense":[80],"skip":[81],"connection":[82],"module":[83],"allows":[84],"flexible":[85],"control":[86],"over":[87],"trainable":[88],"parameter":[89],"capacity":[90],"suit":[92],"varying":[93],"downstream":[94],"Extensive":[97],"experiments":[98],"on":[99],"polyp":[100],"datasets":[102],"show":[103],"that":[104],"DUAdapter":[105],"outperforms":[106],"both":[107],"fully":[108],"fine-tuned":[109],"lightweight":[111],"tuning":[112],"baselines,":[113],"achieving":[114],"superior":[115],"performance":[116],"significantly":[118],"reduced":[119],"training":[120],"cost.":[121]},"counts_by_year":[],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2026-01-30T00:00:00"}
