{"id":"https://openalex.org/W4406271527","doi":"https://doi.org/10.1109/bibm62325.2024.10822700","title":"MixPolyp: Integrating Mask, Box and Scribble Supervision for Enhanced Polyp Segmentation","display_name":"MixPolyp: Integrating Mask, Box and Scribble Supervision for Enhanced Polyp Segmentation","publication_year":2024,"publication_date":"2024-12-03","ids":{"openalex":"https://openalex.org/W4406271527","doi":"https://doi.org/10.1109/bibm62325.2024.10822700"},"language":"en","primary_location":{"id":"doi:10.1109/bibm62325.2024.10822700","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm62325.2024.10822700","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":"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/A5101847576","display_name":"Yiwen Hu","orcid":"https://orcid.org/0000-0003-4917-5074"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]},{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["CN","HK"],"is_corresponding":false,"raw_author_name":"Yiwen Hu","raw_affiliation_strings":["Shenzhen University,FNii, CUHK-Shenzhen SSE, CUHK-Shenzhen South China Hospital,Shenzhen,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen University,FNii, CUHK-Shenzhen SSE, CUHK-Shenzhen South China Hospital,Shenzhen,China","institution_ids":["https://openalex.org/I180726961","https://openalex.org/I889458895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001733016","display_name":"Jun Wei","orcid":"https://orcid.org/0000-0002-8561-2481"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Jun Wei","raw_affiliation_strings":["SSE, CUHK-Shenzhen,FNii, CUHK-Shenzhen,Shenzhen,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SSE, CUHK-Shenzhen,FNii, CUHK-Shenzhen,Shenzhen,China","institution_ids":["https://openalex.org/I889458895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015727828","display_name":"Yuncheng Jiang","orcid":"https://orcid.org/0000-0002-4294-454X"},"institutions":[{"id":"https://openalex.org/I4210099586","display_name":"Shenzhen Research Institute of Big Data","ror":"https://ror.org/00z1gwf89","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210099586"]},{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["CN","HK"],"is_corresponding":false,"raw_author_name":"Yuncheng Jiang","raw_affiliation_strings":["SSE, CUHK-Shenzhen SRIBD, Shenzhen,FNii, CUHK-Shenzhen,Shenzhen,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SSE, CUHK-Shenzhen SRIBD, Shenzhen,FNii, CUHK-Shenzhen,Shenzhen,China","institution_ids":["https://openalex.org/I4210099586","https://openalex.org/I889458895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100369541","display_name":"Haoyang Li","orcid":"https://orcid.org/0000-0003-1839-0222"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Haoyang Li","raw_affiliation_strings":["SDS, CUHK-Shenzhen,FNii, CUHK-Shenzhen,Shenzhen,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SDS, CUHK-Shenzhen,FNii, CUHK-Shenzhen,Shenzhen,China","institution_ids":["https://openalex.org/I889458895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009164482","display_name":"Shuguang Cui","orcid":"https://orcid.org/0000-0003-2608-775X"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Shuguang Cui","raw_affiliation_strings":["FNii, CUHK-Shenzhen,SSE, CUHK-Shenzhen,Shenzhen,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"FNii, CUHK-Shenzhen,SSE, CUHK-Shenzhen,Shenzhen,China","institution_ids":["https://openalex.org/I889458895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100332625","display_name":"Zhen Li","orcid":"https://orcid.org/0000-0002-7669-2686"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Zhen Li","raw_affiliation_strings":["FNii, CUHK-Shenzhen,SSE, CUHK-Shenzhen,Shenzhen,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"FNii, CUHK-Shenzhen,SSE, CUHK-Shenzhen,Shenzhen,China","institution_ids":["https://openalex.org/I889458895"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101661981","display_name":"Song Wu","orcid":"https://orcid.org/0000-0001-9495-1496"},"institutions":[{"id":"https://openalex.org/I4210145292","display_name":"Shenzhen University Health Science Center","ror":"https://ror.org/04yjbr930","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210145292"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Song Wu","raw_affiliation_strings":["Shenzhen University,South China Hospital Health Science Center,Shenzhen,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen University,South China Hospital Health Science Center,Shenzhen,China","institution_ids":["https://openalex.org/I4210145292"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3289","last_page":"3292"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12707","display_name":"Vehicle License Plate Recognition","score":0.7235000133514404,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T12707","display_name":"Vehicle License Plate Recognition","score":0.7235000133514404,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/computer-science","display_name":"Computer science","score":0.6636972427368164},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5566539764404297},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.508021354675293},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.424851655960083},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40782228112220764},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.36393383145332336}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6636972427368164},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5566539764404297},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.508021354675293},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.424851655960083},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40782228112220764},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.36393383145332336}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm62325.2024.10822700","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm62325.2024.10822700","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":17,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2008359794","https://openalex.org/W2021088830","https://openalex.org/W2034269173","https://openalex.org/W2560328367","https://openalex.org/W2997286550","https://openalex.org/W3092344722","https://openalex.org/W3175515048","https://openalex.org/W3202263958","https://openalex.org/W3203497085","https://openalex.org/W3204372962","https://openalex.org/W4226068227","https://openalex.org/W4295934810","https://openalex.org/W4302009288","https://openalex.org/W4308456711","https://openalex.org/W4382877880","https://openalex.org/W6797533734"],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"Limited":[0],"by":[1,10,121],"the":[2,18,50,94,97,125,129,136],"expensive":[3],"labeling,":[4],"polyp":[5,21],"segmentation":[6,22],"models":[7,27],"are":[8,133,144],"plagued":[9],"data":[11,54],"shortages.":[12],"To":[13,59],"tackle":[14],"this,":[15,61],"we":[16],"propose":[17],"mixed":[19],"supervised":[20],"paradigm":[23],"(MixPolyp).":[24],"Unlike":[25],"traditional":[26],"relying":[28],"on":[29,157],"a":[30,45],"single":[31,46],"type":[32],"of":[33,52,135],"annotation,":[34],"MixPolyp":[35,62],"combines":[36],"diverse":[37],"annotation":[38],"types":[39],"(mask,":[40],"box,":[41],"and":[42,55,81,96],"scribble)":[43],"within":[44],"model,":[47],"thereby":[48,112],"expanding":[49],"range":[51],"available":[53],"reducing":[56,128],"labeling":[57],"costs.":[58],"achieve":[60],"introduces":[63],"three":[64],"novel":[65],"supervision":[66,104,114,120],"losses":[67,132],"to":[68],"handle":[69],"various":[70],"annotations:":[71],"Subspace":[72],"Projection":[73],"loss":[74,79,84],"$\\left({{{\\mathcal{L}}_{{\\mathcal{S}}{\\mathcal{P}}}}}\\right)$,":[75],"Binary":[76],"Minimum":[77],"Entropy":[78],"$\\left({{{\\mathcal{L}}_{{\\mathcal{B}}{\\mathcal{M}}{\\mathcal{E}}}}}\\right)$,":[80],"Linear":[82],"Regularization":[83],"$\\left({{{\\mathcal{L}}_{{\\mathcal{L}}{\\mathcal{R}}}}}\\right)$.":[85],"For":[86,99],"box":[87],"annotations,":[88,101],"${{\\mathcal{L}}_{{\\mathcal{S}}{\\mathcal{P}}}}$":[89],"eliminates":[90],"shape":[91],"inconsistencies":[92],"between":[93],"prediction":[95],"supervision.":[98],"scribble":[100],"${{\\mathcal{L}}_{{\\mathcal{B}}{\\mathcal{M}}{\\mathcal{E}}}}$":[102],"provides":[103,118],"for":[105],"unlabeled":[106],"pixels":[107],"through":[108],"minimum":[109],"entropy":[110],"constraint,":[111],"alleviating":[113],"sparsity.":[115],"Furthermore,":[116],"${{\\mathcal{L}}_{{\\mathcal{L}}{\\mathcal{R}}}}$":[117],"dense":[119],"enforcing":[122],"consistency":[123],"among":[124],"predictions,":[126],"thus":[127],"non-uniqueness.":[130],"These":[131],"independent":[134],"model":[137],"structure,":[138],"making":[139],"them":[140],"generally":[141],"applicable.":[142],"They":[143],"used":[145],"only":[146],"during":[147,153],"training,":[148],"adding":[149],"no":[150],"computational":[151],"cost":[152],"inference.":[154],"Extensive":[155],"experiments":[156],"five":[158],"datasets":[159],"demonstrate":[160],"MixPolyp\u2019s":[161],"effectiveness.":[162]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}