{"id":"https://openalex.org/W4316661205","doi":"https://doi.org/10.1109/tim.2023.3235434","title":"Novelty Detection of Leukocyte Image via Mean-Shifted Feature and Directly Optimized Subspace","display_name":"Novelty Detection of Leukocyte Image via Mean-Shifted Feature and Directly Optimized Subspace","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4316661205","doi":"https://doi.org/10.1109/tim.2023.3235434"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2023.3235434","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/tim.2023.3235434","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"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 Transactions on Instrumentation and Measurement","raw_type":"journal-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/A5100317959","display_name":"Wei Li","orcid":"https://orcid.org/0000-0001-5271-8469"},"institutions":[{"id":"https://openalex.org/I83791580","display_name":"Fujian University of Technology","ror":"https://ror.org/03c8fdb16","country_code":"CN","type":"education","lineage":["https://openalex.org/I83791580"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wei Li","raw_affiliation_strings":["College of Computer Science and Mathematics, Fujian University of Technology, Fuzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Mathematics, Fujian University of Technology, Fuzhou, China","institution_ids":["https://openalex.org/I83791580"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009332664","display_name":"Taotao Lai","orcid":"https://orcid.org/0000-0001-9078-773X"},"institutions":[{"id":"https://openalex.org/I354108","display_name":"Minjiang University","ror":"https://ror.org/00s7tkw17","country_code":"CN","type":"education","lineage":["https://openalex.org/I354108"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Taotao Lai","raw_affiliation_strings":["Fujian Provincial Key Laboratory of Information Processing and Intelligent Control, College of Computer and Control Engineering, Minjiang University, Fuzhou, China"],"affiliations":[{"raw_affiliation_string":"Fujian Provincial Key Laboratory of Information Processing and Intelligent Control, College of Computer and Control Engineering, Minjiang University, Fuzhou, China","institution_ids":["https://openalex.org/I354108"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033694378","display_name":"Guanghai Liu","orcid":"https://orcid.org/0000-0002-1558-2694"},"institutions":[{"id":"https://openalex.org/I29739308","display_name":"Guangxi Normal University","ror":"https://ror.org/02frt9q65","country_code":"CN","type":"education","lineage":["https://openalex.org/I29739308"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guanghai Liu","raw_affiliation_strings":["School of Computer Science and Engineering, Guangxi Normal University, Guilin, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Guangxi Normal University, Guilin, China","institution_ids":["https://openalex.org/I29739308"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005638593","display_name":"Haoyi Fan","orcid":"https://orcid.org/0000-0001-9428-7812"},"institutions":[{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haoyi Fan","raw_affiliation_strings":["School of Computer and Artificial Intelligence, Zhengzhou University, Zhengzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Artificial Intelligence, Zhengzhou University, Zhengzhou, China","institution_ids":["https://openalex.org/I38877650"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091320821","display_name":"Zuoyong Li","orcid":"https://orcid.org/0000-0003-0952-9915"},"institutions":[{"id":"https://openalex.org/I354108","display_name":"Minjiang University","ror":"https://ror.org/00s7tkw17","country_code":"CN","type":"education","lineage":["https://openalex.org/I354108"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zuoyong Li","raw_affiliation_strings":["Fujian Provincial Key Laboratory of Information Processing and Intelligent Control, College of Computer and Control Engineering, Minjiang University, Fuzhou, China"],"affiliations":[{"raw_affiliation_string":"Fujian Provincial Key Laboratory of Information Processing and Intelligent Control, College of Computer and Control Engineering, Minjiang University, Fuzhou, China","institution_ids":["https://openalex.org/I354108"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100317959"],"corresponding_institution_ids":["https://openalex.org/I83791580"],"apc_list":null,"apc_paid":null,"fwci":0.5219,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.69352682,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":"72","issue":null,"first_page":"1","last_page":"12"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9980999827384949,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9980999827384949,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9940000176429749,"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":0.9937999844551086,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/novelty-detection","display_name":"Novelty detection","score":0.8428410291671753},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.7828110456466675},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7400060892105103},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.7301267981529236},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7219626307487488},{"id":"https://openalex.org/keywords/novelty","display_name":"Novelty","score":0.656162679195404},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5667746067047119}],"concepts":[{"id":"https://openalex.org/C2778924833","wikidata":"https://www.wikidata.org/wiki/Q7064603","display_name":"Novelty detection","level":3,"score":0.8428410291671753},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.7828110456466675},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7400060892105103},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.7301267981529236},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7219626307487488},{"id":"https://openalex.org/C2778738651","wikidata":"https://www.wikidata.org/wiki/Q16546687","display_name":"Novelty","level":2,"score":0.656162679195404},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5667746067047119},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C27206212","wikidata":"https://www.wikidata.org/wiki/Q34178","display_name":"Theology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tim.2023.3235434","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/tim.2023.3235434","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"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 Transactions on Instrumentation and Measurement","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1191591178","display_name":null,"funder_award_id":"62266008","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3212162389","display_name":null,"funder_award_id":"2020J01825","funder_id":"https://openalex.org/F4320321878","funder_display_name":"Natural Science Foundation of Fujian Province"},{"id":"https://openalex.org/G4452876578","display_name":null,"funder_award_id":"2020J02024","funder_id":"https://openalex.org/F4320321878","funder_display_name":"Natural Science Foundation of Fujian Province"},{"id":"https://openalex.org/G5388518827","display_name":null,"funder_award_id":"62172197","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7038125391","display_name":null,"funder_award_id":"61972187","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7069993991","display_name":null,"funder_award_id":"2022YFC3302203","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321878","display_name":"Natural Science Foundation of Fujian Province","ror":null},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":66,"referenced_works":["https://openalex.org/W1970088130","https://openalex.org/W2100495367","https://openalex.org/W2105497548","https://openalex.org/W2117539524","https://openalex.org/W2224945135","https://openalex.org/W2321533354","https://openalex.org/W2558661413","https://openalex.org/W2738327665","https://openalex.org/W2783733999","https://openalex.org/W2783748519","https://openalex.org/W2785325870","https://openalex.org/W2793002108","https://openalex.org/W2803857835","https://openalex.org/W2842511635","https://openalex.org/W2924872296","https://openalex.org/W2929444508","https://openalex.org/W2963049059","https://openalex.org/W2978971541","https://openalex.org/W3021561894","https://openalex.org/W3023868590","https://openalex.org/W3024943873","https://openalex.org/W3035524453","https://openalex.org/W3043138801","https://openalex.org/W3105939760","https://openalex.org/W3118895125","https://openalex.org/W3147184966","https://openalex.org/W3160366495","https://openalex.org/W3168175245","https://openalex.org/W3169651898","https://openalex.org/W3171079288","https://openalex.org/W3175716777","https://openalex.org/W3191740548","https://openalex.org/W3194400333","https://openalex.org/W3201753566","https://openalex.org/W3203090567","https://openalex.org/W3204685480","https://openalex.org/W3209670775","https://openalex.org/W3216946754","https://openalex.org/W4205631368","https://openalex.org/W4214689175","https://openalex.org/W4285212232","https://openalex.org/W4289792391","https://openalex.org/W4293109055","https://openalex.org/W4295224294","https://openalex.org/W4297808394","https://openalex.org/W4301372783","https://openalex.org/W4311415873","https://openalex.org/W4312382935","https://openalex.org/W4312442470","https://openalex.org/W6682250724","https://openalex.org/W6725762072","https://openalex.org/W6747899497","https://openalex.org/W6751494907","https://openalex.org/W6751866786","https://openalex.org/W6753123669","https://openalex.org/W6771795890","https://openalex.org/W6771919375","https://openalex.org/W6777869702","https://openalex.org/W6780874654","https://openalex.org/W6783990618","https://openalex.org/W6791742336","https://openalex.org/W6797053244","https://openalex.org/W6799540603","https://openalex.org/W6802387851","https://openalex.org/W6803473220","https://openalex.org/W7033982248"],"related_works":["https://openalex.org/W30889485","https://openalex.org/W2072135972","https://openalex.org/W2065962751","https://openalex.org/W2042327336","https://openalex.org/W4316661205","https://openalex.org/W4301477409","https://openalex.org/W2806590987","https://openalex.org/W2546942002","https://openalex.org/W2543161807","https://openalex.org/W2027738917"],"abstract_inverted_index":{"Novelty":[0],"detection":[1],"of":[2,28,56,147],"leukocyte":[3,13,67,94,142],"images":[4,64],"aims":[5],"to":[6,46,52,106,127],"learn":[7],"effective":[8],"data":[9,55],"description":[10],"from":[11,21],"in-distribution":[12],"samples":[14],"and":[15,59,87],"detect":[16],"out-of-distribution":[17],"ones":[18],"that":[19],"deviate":[20],"the":[22,26,31,53,71,83,88,108,113,122,125,138,145,148],"expected":[23],"patterns.":[24],"Recently,":[25],"methods":[27,43],"fine-tuning":[29,112],"on":[30,82,140],"pretrained":[32,114],"model":[33,115],"have":[34],"demonstrated":[35],"excellent":[36],"performance":[37],"in":[38,62],"novelty":[39,95],"detection.":[40],"However,":[41],"those":[42],"are":[44],"prone":[45],"collapse":[47,110],"or":[48],"feature":[49,78,85],"deterioration":[50],"due":[51],"training":[54],"limited":[57],"categories":[58],"tiny":[60,129],"differences":[61,130],"medical":[63],"such":[65],"as":[66],"images.":[68],"To":[69],"alleviate":[70,107],"above":[72],"issues,":[73],"we":[74,102,120],"propose":[75],"an":[76],"unsupervised":[77],"adaptation":[79],"method":[80],"based":[81],"mean-shifted":[84,98],"(MSF)":[86],"directly":[89],"optimized":[90],"subspace":[91,99],"(SUB)":[92],"for":[93],"detection,":[96],"named":[97],"(SubMSF).":[100],"Specifically,":[101],"first":[103],"use":[104],"MSFs":[105],"catastrophic":[109],"when":[111],"via":[116],"contrastive":[117],"learning.":[118],"Then,":[119],"combine":[121],"MSF":[123],"with":[124,134],"SUB":[126],"recognize":[128],"between":[131],"leukocytes.":[132],"Compared":[133],"several":[135],"state-of-the-art":[136],"methods,":[137],"results":[139],"real-world":[141],"datasets":[143],"demonstrate":[144],"effectiveness":[146],"proposed":[149],"SubMSF.":[150]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
