{"id":"https://openalex.org/W4414359375","doi":"https://doi.org/10.24963/ijcai.2025/540","title":"Pixel-wise Divide and Conquer for Federated Vessel Segmentation","display_name":"Pixel-wise Divide and Conquer for Federated Vessel Segmentation","publication_year":2025,"publication_date":"2025-09-01","ids":{"openalex":"https://openalex.org/W4414359375","doi":"https://doi.org/10.24963/ijcai.2025/540"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2025/540","is_oa":false,"landing_page_url":"https://doi.org/10.24963/ijcai.2025/540","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence","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/A5100362233","display_name":"Tian Chen","orcid":"https://orcid.org/0000-0002-4447-0982"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Tian Chen","raw_affiliation_strings":["School of Computer Science, Wuhan University"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Wuhan University","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018298375","display_name":"Wenke Huang","orcid":"https://orcid.org/0000-0003-4819-293X"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenke Huang","raw_affiliation_strings":["School of Computer Science, Wuhan University"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Wuhan University","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100409169","display_name":"Zhihao Wang","orcid":"https://orcid.org/0000-0003-1561-4040"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhihao Wang","raw_affiliation_strings":["School of Computer Science, Wuhan University"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Wuhan University","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101732368","display_name":"Zekun Shi","orcid":"https://orcid.org/0009-0002-2050-0486"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zekun Shi","raw_affiliation_strings":["School of Computer Science, Wuhan University"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Wuhan University","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101292336","display_name":"Li He","orcid":"https://orcid.org/0000-0002-8469-8260"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"He Li","raw_affiliation_strings":["School of Computer Science, Wuhan University"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Wuhan University","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100732484","display_name":"Wenhui Dong","orcid":"https://orcid.org/0000-0001-5157-8951"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenhui Dong","raw_affiliation_strings":["School of Computer Science, Wuhan University"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Wuhan University","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008999954","display_name":"Mang Ye","orcid":"https://orcid.org/0000-0003-3989-7655"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mang Ye","raw_affiliation_strings":["School of Computer Science, Wuhan University"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Wuhan University","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060042752","display_name":"Bo Du","orcid":"https://orcid.org/0000-0002-0059-8458"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Du","raw_affiliation_strings":["School of Computer Science, Wuhan University"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Wuhan University","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009699153","display_name":"Yongchao Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongchao Xu","raw_affiliation_strings":["School of Computer Science, Wuhan University"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Wuhan University","institution_ids":["https://openalex.org/I37461747"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":9,"corresponding_author_ids":["https://openalex.org/A5100362233"],"corresponding_institution_ids":["https://openalex.org/I37461747"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.33456495,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"4851","last_page":"4859"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11622","display_name":"Maritime Navigation and Safety","score":0.9332000017166138,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11622","display_name":"Maritime Navigation and Safety","score":0.9332000017166138,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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":0.82669997215271},{"id":"https://openalex.org/keywords/divide-and-conquer-algorithms","display_name":"Divide and conquer algorithms","score":0.67330002784729},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6215000152587891},{"id":"https://openalex.org/keywords/decoupling","display_name":"Decoupling (probability)","score":0.47269999980926514},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.45890000462532043},{"id":"https://openalex.org/keywords/calibration","display_name":"Calibration","score":0.3869999945163727}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.82669997215271},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7807000279426575},{"id":"https://openalex.org/C71559656","wikidata":"https://www.wikidata.org/wiki/Q671298","display_name":"Divide and conquer algorithms","level":2,"score":0.67330002784729},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6215000152587891},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5806000232696533},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5031999945640564},{"id":"https://openalex.org/C205606062","wikidata":"https://www.wikidata.org/wiki/Q5249645","display_name":"Decoupling (probability)","level":2,"score":0.47269999980926514},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.45890000462532043},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.3869999945163727},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.362199991941452},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.29919999837875366},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2906000018119812},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2847999930381775},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2614000141620636}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.24963/ijcai.2025/540","is_oa":false,"landing_page_url":"https://doi.org/10.24963/ijcai.2025/540","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Accurate":[0],"vessel":[1,15,38],"segmentation":[2,16,26],"is":[3],"essential":[4],"for":[5,89],"diagnosing":[6],"and":[7,10,41,61,114],"managing":[8],"vascular":[9],"ophthalmic":[11],"diseases.":[12],"Traditional":[13],"learning-based":[14],"methods":[17],"heavily":[18],"rely":[19],"on":[20,92],"high-quality,":[21],"pixel-level":[22],"annotated":[23],"datasets.":[24],"However,":[25],"performance":[27],"suffers":[28],"significantly":[29],"when":[30],"applied":[31],"in":[32,126],"federated":[33],"learning":[34],"settings":[35],"due":[36],"to":[37,51,85,100,118],"morphology":[39],"inconsistency":[40],"vessel-background":[42,124],"imbalance.":[43],"The":[44],"former":[45],"limits":[46],"the":[47,56,63,132],"ability":[48],"of":[49,94,134],"models":[50],"capture":[52],"fine-grained":[53],"vessels,":[54],"while":[55],"latter":[57],"overemphasizes":[58],"background":[59],"pixels":[60,93],"biases":[62],"model":[64],"towards":[65],"them.":[66],"To":[67],"address":[68],"these":[69],"challenges,":[70],"we":[71,103],"propose":[72],"a":[73,105],"novel":[74],"method":[75,136],"named":[76],"Federated":[77],"Vessel-Aware":[78],"Calibration":[79],"(FVAC),":[80],"which":[81],"leverages":[82],"global":[83,116],"uncertainty":[84],"provide":[86],"differentiated":[87],"guidance":[88],"clients,":[90],"focusing":[91],"various":[95],"morphologies":[96],"that":[97,110],"are":[98],"difficult":[99],"distinguish.":[101],"Furthermore,":[102],"introduce":[104],"foreground-background":[106],"decoupling":[107],"alignment":[108],"strategy":[109],"utilizes":[111],"more":[112],"stable":[113],"balanced":[115],"features":[117],"mitigate":[119],"semantic":[120],"drift":[121],"caused":[122],"by":[123],"imbalance":[125],"local":[127],"clients.":[128],"Comprehensive":[129],"experiments":[130],"confirm":[131],"effectiveness":[133],"our":[135]},"counts_by_year":[],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-10-10T00:00:00"}
