{"id":"https://openalex.org/W4392909526","doi":"https://doi.org/10.1109/jbhi.2024.3375889","title":"SCAC: A Semi-Supervised Learning Approach for Cervical Abnormal Cell Detection","display_name":"SCAC: A Semi-Supervised Learning Approach for Cervical Abnormal Cell Detection","publication_year":2024,"publication_date":"2024-03-18","ids":{"openalex":"https://openalex.org/W4392909526","doi":"https://doi.org/10.1109/jbhi.2024.3375889","pmid":"https://pubmed.ncbi.nlm.nih.gov/38470598"},"language":"en","primary_location":{"id":"doi:10.1109/jbhi.2024.3375889","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2024.3375889","pdf_url":null,"source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Biomedical and Health Informatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5019185596","display_name":"Zheng Zhang","orcid":"https://orcid.org/0009-0004-2664-9139"},"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":true,"raw_author_name":"Zheng Zhang","raw_affiliation_strings":["Department of Precision Machinery and Precision Instrument, University of Science and Technology of China, Hefei, China"],"raw_orcid":"https://orcid.org/0009-0004-2664-9139","affiliations":[{"raw_affiliation_string":"Department of Precision Machinery and Precision Instrument, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101964795","display_name":"Peng Yao","orcid":"https://orcid.org/0000-0003-0717-2836"},"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":"Peng Yao","raw_affiliation_strings":["School of Microelectronics, University of Science and Technology of China, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0003-0717-2836","affiliations":[{"raw_affiliation_string":"School of Microelectronics, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043356374","display_name":"Mingxiao Chen","orcid":"https://orcid.org/0009-0007-6358-767X"},"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":"Mingxiao Chen","raw_affiliation_strings":["Department of Precision Machinery and Precision Instrument, University of Science and Technology of China, Hefei, China"],"raw_orcid":"https://orcid.org/0009-0007-6358-767X","affiliations":[{"raw_affiliation_string":"Department of Precision Machinery and Precision Instrument, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Liang Zeng","orcid":"https://orcid.org/0000-0002-4755-775X"},"institutions":[{"id":"https://openalex.org/I92039509","display_name":"Guangzhou Medical University","ror":"https://ror.org/00zat6v61","country_code":"CN","type":"education","lineage":["https://openalex.org/I92039509"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang Zeng","raw_affiliation_strings":["Department of Pathology, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangdong Provincial Clinical Research Center for Child Health, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-4755-775X","affiliations":[{"raw_affiliation_string":"Department of Pathology, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangdong Provincial Clinical Research Center for Child Health, Guangzhou, China","institution_ids":["https://openalex.org/I92039509"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101675100","display_name":"Pengfei Shao","orcid":"https://orcid.org/0000-0003-1249-1786"},"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":"Pengfei Shao","raw_affiliation_strings":["Department of Precision Machinery and Precision Instrument, University of Science and Technology of China, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0003-1249-1786","affiliations":[{"raw_affiliation_string":"Department of Precision Machinery and Precision Instrument, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101748878","display_name":"Shuwei Shen","orcid":"https://orcid.org/0000-0002-6083-1442"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shuwei Shen","raw_affiliation_strings":["Suzhou Institute for Advanced Research, University of Science and Technology of China, Suzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-6083-1442","affiliations":[{"raw_affiliation_string":"Suzhou Institute for Advanced Research, University of Science and Technology of China, Suzhou, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057386168","display_name":"Ronald X. Xu","orcid":"https://orcid.org/0000-0003-2486-5677"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ronald X. Xu","raw_affiliation_strings":["Suzhou Institute for Advanced Research, University of Science and Technology of China, Suzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-2486-5677","affiliations":[{"raw_affiliation_string":"Suzhou Institute for Advanced Research, University of Science and Technology of China, Suzhou, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5019185596"],"corresponding_institution_ids":["https://openalex.org/I126520041"],"apc_list":null,"apc_paid":null,"fwci":4.967,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.95613044,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"28","issue":"6","first_page":"3501","last_page":"3512"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9993000030517578,"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":0.9993000030517578,"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/T12874","display_name":"Digital Imaging for Blood Diseases","score":0.9923999905586243,"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/T14510","display_name":"Medical Imaging and Analysis","score":0.9923999905586243,"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/computer-science","display_name":"Computer science","score":0.5955203771591187},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4576640725135803},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.32069623470306396}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5955203771591187},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4576640725135803},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.32069623470306396}],"mesh":[{"descriptor_ui":"D000069553","descriptor_name":"Supervised Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069553","descriptor_name":"Supervised Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069553","descriptor_name":"Supervised Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069553","descriptor_name":"Supervised Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069553","descriptor_name":"Supervised Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002583","descriptor_name":"Uterine Cervical Neoplasms","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D002583","descriptor_name":"Uterine Cervical Neoplasms","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D002583","descriptor_name":"Uterine Cervical Neoplasms","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D002583","descriptor_name":"Uterine Cervical Neoplasms","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D002583","descriptor_name":"Uterine Cervical Neoplasms","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D002584","descriptor_name":"Cervix Uteri","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D002584","descriptor_name":"Cervix Uteri","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D002584","descriptor_name":"Cervix Uteri","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D002584","descriptor_name":"Cervix Uteri","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D002584","descriptor_name":"Cervix Uteri","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D002584","descriptor_name":"Cervix Uteri","qualifier_ui":"Q000166","qualifier_name":"cytology","is_major_topic":true},{"descriptor_ui":"D002584","descriptor_name":"Cervix Uteri","qualifier_ui":"Q000166","qualifier_name":"cytology","is_major_topic":true},{"descriptor_ui":"D002584","descriptor_name":"Cervix Uteri","qualifier_ui":"Q000166","qualifier_name":"cytology","is_major_topic":true},{"descriptor_ui":"D002584","descriptor_name":"Cervix Uteri","qualifier_ui":"Q000166","qualifier_name":"cytology","is_major_topic":true},{"descriptor_ui":"D002584","descriptor_name":"Cervix Uteri","qualifier_ui":"Q000166","qualifier_name":"cytology","is_major_topic":true},{"descriptor_ui":"D002584","descriptor_name":"Cervix Uteri","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":true},{"descriptor_ui":"D002584","descriptor_name":"Cervix Uteri","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":true},{"descriptor_ui":"D002584","descriptor_name":"Cervix Uteri","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":true},{"descriptor_ui":"D002584","descriptor_name":"Cervix Uteri","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":true},{"descriptor_ui":"D002584","descriptor_name":"Cervix Uteri","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":true},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1109/jbhi.2024.3375889","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2024.3375889","pdf_url":null,"source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Biomedical and Health Informatics","raw_type":"journal-article"},{"id":"pmid:38470598","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38470598","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE journal of biomedical and health informatics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G8541216587","display_name":null,"funder_award_id":"2308085MF219","funder_id":"https://openalex.org/F4320334897","funder_display_name":"Natural Science Foundation of Anhui Province"}],"funders":[{"id":"https://openalex.org/F4320334897","display_name":"Natural Science Foundation of Anhui Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":77,"referenced_works":["https://openalex.org/W2069622636","https://openalex.org/W2343237073","https://openalex.org/W2519324524","https://openalex.org/W2565639579","https://openalex.org/W2734583741","https://openalex.org/W2746314669","https://openalex.org/W2765407302","https://openalex.org/W2924609556","https://openalex.org/W2940262938","https://openalex.org/W2949736877","https://openalex.org/W2962858109","https://openalex.org/W2963037989","https://openalex.org/W2963150697","https://openalex.org/W2963351448","https://openalex.org/W2963857746","https://openalex.org/W2964241181","https://openalex.org/W2964444661","https://openalex.org/W2978017498","https://openalex.org/W2980091928","https://openalex.org/W2982770724","https://openalex.org/W2986357608","https://openalex.org/W2994699064","https://openalex.org/W3007473623","https://openalex.org/W3021542222","https://openalex.org/W3024371423","https://openalex.org/W3024746232","https://openalex.org/W3034971973","https://openalex.org/W3035682985","https://openalex.org/W3095931313","https://openalex.org/W3096609285","https://openalex.org/W3098394437","https://openalex.org/W3120290381","https://openalex.org/W3125745296","https://openalex.org/W3128646645","https://openalex.org/W3130976481","https://openalex.org/W3131500599","https://openalex.org/W3138516171","https://openalex.org/W3140073993","https://openalex.org/W3143586484","https://openalex.org/W3156423522","https://openalex.org/W3158661000","https://openalex.org/W3166409449","https://openalex.org/W3171468293","https://openalex.org/W3171746194","https://openalex.org/W3172507542","https://openalex.org/W3172752666","https://openalex.org/W3176839087","https://openalex.org/W3190093092","https://openalex.org/W3203003533","https://openalex.org/W3209002923","https://openalex.org/W3211196264","https://openalex.org/W4220910889","https://openalex.org/W4280634279","https://openalex.org/W4288020585","https://openalex.org/W4288325606","https://openalex.org/W4292454830","https://openalex.org/W4306149610","https://openalex.org/W4312887059","https://openalex.org/W4312999279","https://openalex.org/W4313165093","https://openalex.org/W4376851260","https://openalex.org/W4386075772","https://openalex.org/W6620707391","https://openalex.org/W6743428213","https://openalex.org/W6745136726","https://openalex.org/W6761630670","https://openalex.org/W6762913911","https://openalex.org/W6764322716","https://openalex.org/W6765939562","https://openalex.org/W6770578729","https://openalex.org/W6773005947","https://openalex.org/W6776778719","https://openalex.org/W6789505266","https://openalex.org/W6790002314","https://openalex.org/W6802864417","https://openalex.org/W6803504186","https://openalex.org/W6839041728"],"related_works":["https://openalex.org/W2058170566","https://openalex.org/W2772917594","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","https://openalex.org/W2775347418"],"abstract_inverted_index":{"Cervical":[0,56],"abnormal":[1],"cell":[2],"detection":[3,46,164],"plays":[4],"a":[5,53,93,124],"crucial":[6],"role":[7],"in":[8,89,110],"the":[9,45,64,72,82,115,118,133,167,174,213,223],"early":[10],"screening":[11],"of":[12,33,74,85,117,169,215,225],"cervical":[13,142,151,180],"cancer.":[14],"In":[15,48,87],"recent":[16],"years,":[17],"some":[18],"deep":[19],"learning-based":[20],"methods":[21,27],"have":[22,147],"been":[23],"proposed.":[24],"However,":[25],"these":[26],"rely":[28],"heavily":[29],"on":[30],"large":[31,178],"amounts":[32],"annotated":[34,192],"images,":[35],"which":[36,61,131,155],"are":[37,209],"time-consuming":[38],"and":[39,96,113,217,232],"labor-intensive":[40],"to":[41,76,80,136,162,211,227],"acquire,":[42],"thus":[43],"limiting":[44],"performance.":[47,204],"this":[49,172,186],"paper,":[50],"we":[51,91,146,194],"present":[52],"novel":[54],"Semi-supervised":[55],"Abnormal":[57],"Cell":[58],"detector":[59],"(SCAC),":[60],"effectively":[62],"utilizes":[63,132],"abundant":[65],"unlabeled":[66,150,179],"data.":[67,120],"We":[68,121],"utilize":[69],"Transformer":[70],"as":[71],"backbone":[73],"SCAC":[75,197,226],"capture":[77],"long-range":[78],"dependencies":[79],"mimic":[81],"diagnostic":[83,230],"process":[84],"pathologists.":[86],"addition,":[88],"SCAC,":[90],"design":[92],"Unified":[94],"Strong":[95],"Weak":[97],"Augment":[98],"strategy":[99],"(USWA)":[100],"that":[101,196],"unifies":[102],"two":[103,189],"data":[104],"augmentation":[105],"pipelines,":[106],"implementing":[107],"consistent":[108],"regularization":[109],"semi-supervised":[111,160],"learning":[112,161],"enhancing":[114],"diversity":[116],"training":[119],"also":[122],"develop":[123],"Global":[125],"Attention":[126],"Feature":[127],"Pyramid":[128],"Network":[129],"(GAFPN),":[130],"attention":[134],"mechanism":[135],"better":[137],"extract":[138],"multi-scale":[139],"features":[140],"from":[141],"cytology":[143,152,181],"images.":[144],"Notably,":[145],"created":[148],"an":[149],"image":[153,182],"dataset,":[154],"can":[156],"be":[157],"leveraged":[158],"by":[159],"enhance":[163],"accuracy.":[165],"To":[166],"best":[168],"our":[170],"knowledge,":[171],"is":[173],"first":[175],"publicly":[176,190],"available":[177,191],"dataset.":[183],"By":[184],"combining":[185],"dataset":[187],"with":[188],"datasets,":[193],"demonstrate":[195],"outperforms":[198],"other":[199],"existing":[200],"methods,":[201],"achieving":[202],"state-of-the-art":[203],"Additionally,":[205],"comprehensive":[206],"ablation":[207],"studies":[208],"conducted":[210],"validate":[212],"effectiveness":[214],"USWA":[216],"GAFPN.":[218],"These":[219],"promising":[220],"results":[221],"highlight":[222],"capability":[224],"achieve":[228],"high":[229],"accuracy":[231],"extensive":[233],"clinical":[234],"applications.":[235]},"counts_by_year":[{"year":2025,"cited_by_count":14},{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}