{"id":"https://openalex.org/W4408352036","doi":"https://doi.org/10.1109/icassp49660.2025.10888342","title":"A Deformable-Based Source-Free Unsupervised Domain Adaptation Method for Cervical Cell Detection","display_name":"A Deformable-Based Source-Free Unsupervised Domain Adaptation Method for Cervical Cell Detection","publication_year":2025,"publication_date":"2025-03-12","ids":{"openalex":"https://openalex.org/W4408352036","doi":"https://doi.org/10.1109/icassp49660.2025.10888342"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49660.2025.10888342","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10888342","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5108681526","display_name":"Qiao Pan","orcid":"https://orcid.org/0009-0004-1797-8643"},"institutions":[{"id":"https://openalex.org/I181326427","display_name":"Donghua University","ror":"https://ror.org/035psfh38","country_code":"CN","type":"education","lineage":["https://openalex.org/I181326427"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiao Pan","raw_affiliation_strings":["DongHua University,School of Computer Science and Technology,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DongHua University,School of Computer Science and Technology,China","institution_ids":["https://openalex.org/I181326427"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101012633","display_name":"Yawen Xue","orcid":null},"institutions":[{"id":"https://openalex.org/I181326427","display_name":"Donghua University","ror":"https://ror.org/035psfh38","country_code":"CN","type":"education","lineage":["https://openalex.org/I181326427"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yawen Xue","raw_affiliation_strings":["DongHua University,School of Computer Science and Technology,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DongHua University,School of Computer Science and Technology,China","institution_ids":["https://openalex.org/I181326427"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046815454","display_name":"Bin Yang","orcid":"https://orcid.org/0000-0002-9762-0788"},"institutions":[{"id":"https://openalex.org/I181326427","display_name":"Donghua University","ror":"https://ror.org/035psfh38","country_code":"CN","type":"education","lineage":["https://openalex.org/I181326427"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Yang","raw_affiliation_strings":["DongHua University,School of Computer Science and Technology,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DongHua University,School of Computer Science and Technology,China","institution_ids":["https://openalex.org/I181326427"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I181326427"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0163553,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9375,"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/T10862","display_name":"AI in cancer detection","score":0.9375,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6883772015571594},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.6194665431976318},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.5731754302978516},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5002751350402832},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4593203067779541},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3899151384830475},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37405312061309814},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10107719898223877},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.07330682873725891}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6883772015571594},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.6194665431976318},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.5731754302978516},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5002751350402832},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4593203067779541},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3899151384830475},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37405312061309814},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10107719898223877},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.07330682873725891},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp49660.2025.10888342","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10888342","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320337504","display_name":"Research and Development","ror":"https://ror.org/027s68j25"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W2031342017","https://openalex.org/W2059155369","https://openalex.org/W2128053425","https://openalex.org/W2194775991","https://openalex.org/W2565639579","https://openalex.org/W2889646458","https://openalex.org/W2892046320","https://openalex.org/W2920164639","https://openalex.org/W3096831136","https://openalex.org/W3135187001","https://openalex.org/W3164350057","https://openalex.org/W3174017534","https://openalex.org/W3183430956","https://openalex.org/W4312502508","https://openalex.org/W4386066721","https://openalex.org/W4386080970","https://openalex.org/W4387372193","https://openalex.org/W4387422654","https://openalex.org/W4403888226","https://openalex.org/W4410540100","https://openalex.org/W6687400500","https://openalex.org/W6779823529","https://openalex.org/W6801756507","https://openalex.org/W6853142820"],"related_works":["https://openalex.org/W4394775207","https://openalex.org/W4389474468","https://openalex.org/W4300172004","https://openalex.org/W3203792196","https://openalex.org/W4321649381","https://openalex.org/W2997645659","https://openalex.org/W3180787869","https://openalex.org/W2955455867","https://openalex.org/W4295929828","https://openalex.org/W3156096827"],"abstract_inverted_index":{"As":[0],"the":[1,11,47,88,127,187,196],"application":[2],"of":[3,50,90,189,195],"AI":[4],"in":[5,22,35],"cervical":[6,120,146],"cancer":[7],"cell":[8,121,147,191],"detection":[9,51],"expands,":[10],"demand":[12],"for":[13,119,145],"large-scale":[14],"labeled":[15],"pathological":[16],"slide":[17],"data":[18],"has":[19],"increased,":[20],"resulting":[21],"a":[23,111,140,150,155,169],"time-consuming":[24],"and":[25,39,99,131,162,185,206],"costly":[26],"process.":[27],"Furthermore,":[28],"significant":[29],"domain":[30,59,67,129,134],"shifts":[31],"caused":[32],"by":[33],"variations":[34],"sample":[36],"collection,":[37],"processing,":[38],"staining":[40],"conditions":[41],"across":[42],"different":[43],"medical":[44],"institutions":[45],"limit":[46],"generalization":[48],"capability":[49],"models.":[52],"To":[53,104],"address":[54],"these":[55,81,106],"challenges,":[56,85],"existing":[57],"unsupervised":[58],"adaptation":[60],"(UDA)":[61],"methods":[62],"attempt":[63],"to":[64,69,96,159,176],"generalize":[65],"source":[66,91,128],"models":[68],"target":[70,133],"domains":[71],"with":[72],"unannotated":[73],"data,":[74,92],"reducing":[75],"reliance":[76],"on":[77,126,154,201],"annotated":[78],"datasets.":[79],"However,":[80],"approaches":[82],"still":[83],"face":[84],"such":[86],"as":[87],"unavailability":[89],"label":[93],"noise":[94],"leading":[95],"model":[97,130,157,166],"degradation,":[98],"insufficient":[100],"convolutional":[101,179],"feature":[102,183],"extraction.":[103],"overcome":[105],"limitations,":[107],"this":[108],"paper":[109],"proposes":[110],"Deformable-based":[112],"Source-Free":[113],"Unsupervised":[114],"Domain":[115],"Adaptation":[116],"(DSFUDA)":[117],"method":[118,198],"detection,":[122,148],"which":[123],"utilizes":[124],"only":[125],"unlabeled":[132],"data.":[135],"The":[136,193],"proposed":[137,197],"approach":[138],"introduces":[139],"novel":[141],"source-free":[142],"UDA":[143],"framework":[144],"incorporating":[149],"denoising":[151],"module":[152,172],"based":[153],"diffusion":[156],"(FD-Module)":[158],"suppress":[160],"erroneous":[161],"domain-specific":[163],"features,":[164],"preventing":[165],"degradation.":[167],"Additionally,":[168],"deformable":[170],"context-aware":[171],"(DCA-Module)":[173],"is":[174,199],"developed":[175],"adaptively":[177],"adjust":[178],"receptive":[180],"fields,":[181],"enhancing":[182],"extraction":[184],"improving":[186],"accuracy":[188],"abnormal":[190],"detection.":[192],"effectiveness":[194],"validated":[200],"two":[202],"public":[203],"datasets,":[204],"CDTBS":[205],"Sipakmed.":[207]},"counts_by_year":[],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
