{"id":"https://openalex.org/W4392048111","doi":"https://doi.org/10.1080/08839514.2024.2318673","title":"DWS-YOLO: A Lightweight Detector for Blood Cell Detection","display_name":"DWS-YOLO: A Lightweight Detector for Blood Cell Detection","publication_year":2024,"publication_date":"2024-02-22","ids":{"openalex":"https://openalex.org/W4392048111","doi":"https://doi.org/10.1080/08839514.2024.2318673"},"language":"en","primary_location":{"id":"doi:10.1080/08839514.2024.2318673","is_oa":true,"landing_page_url":"https://doi.org/10.1080/08839514.2024.2318673","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/08839514.2024.2318673?download=true","source":{"id":"https://openalex.org/S125501549","display_name":"Applied Artificial Intelligence","issn_l":"0883-9514","issn":["0883-9514","1087-6545"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.tandfonline.com/doi/pdf/10.1080/08839514.2024.2318673?download=true","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5022715337","display_name":"Yihai Mao","orcid":"https://orcid.org/0009-0002-6707-4912"},"institutions":[{"id":"https://openalex.org/I75867142","display_name":"Xiamen University of Technology","ror":"https://ror.org/01285e189","country_code":"CN","type":"education","lineage":["https://openalex.org/I75867142"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yihai Mao","raw_affiliation_strings":["School of Opto-Electronic and Communication Engineering, Xiamen University of Technology, Xiamen, Fujian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Opto-Electronic and Communication Engineering, Xiamen University of Technology, Xiamen, Fujian, China","institution_ids":["https://openalex.org/I75867142"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100660001","display_name":"Hongyi Zhang","orcid":"https://orcid.org/0009-0006-6676-9543"},"institutions":[{"id":"https://openalex.org/I75867142","display_name":"Xiamen University of Technology","ror":"https://ror.org/01285e189","country_code":"CN","type":"education","lineage":["https://openalex.org/I75867142"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hongyi Zhang","raw_affiliation_strings":["School of Opto-Electronic and Communication Engineering, Xiamen University of Technology, Xiamen, Fujian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Opto-Electronic and Communication Engineering, Xiamen University of Technology, Xiamen, Fujian, China","institution_ids":["https://openalex.org/I75867142"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002339773","display_name":"Wanqing Wu","orcid":"https://orcid.org/0000-0001-7594-1487"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wanqing Wu","raw_affiliation_strings":["School of Biomedical Engineering, Sun Yat-Sen University, Guangzhou, Guangdong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Biomedical Engineering, Sun Yat-Sen University, Guangzhou, Guangdong, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080807489","display_name":"Xingen Gao","orcid":"https://orcid.org/0009-0000-7385-5825"},"institutions":[{"id":"https://openalex.org/I75867142","display_name":"Xiamen University of Technology","ror":"https://ror.org/01285e189","country_code":"CN","type":"education","lineage":["https://openalex.org/I75867142"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xingen Gao","raw_affiliation_strings":["School of Opto-Electronic and Communication Engineering, Xiamen University of Technology, Xiamen, Fujian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Opto-Electronic and Communication Engineering, Xiamen University of Technology, Xiamen, Fujian, China","institution_ids":["https://openalex.org/I75867142"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074876112","display_name":"Zhibin Lin","orcid":"https://orcid.org/0000-0001-5575-2216"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhibin Lin","raw_affiliation_strings":["Xiamen Key Laboratory of Intelligent Scene Technology in Industrial Metaverse, Xiamen Intretech Inc, Xiamen, Fujian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xiamen Key Laboratory of Intelligent Scene Technology in Industrial Metaverse, Xiamen Intretech Inc, Xiamen, Fujian, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040398044","display_name":"Juqiang Lin","orcid":"https://orcid.org/0009-0004-7421-6821"},"institutions":[{"id":"https://openalex.org/I75867142","display_name":"Xiamen University of Technology","ror":"https://ror.org/01285e189","country_code":"CN","type":"education","lineage":["https://openalex.org/I75867142"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Juqiang Lin","raw_affiliation_strings":["School of Opto-Electronic and Communication Engineering, Xiamen University of Technology, Xiamen, Fujian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Opto-Electronic and Communication Engineering, Xiamen University of Technology, Xiamen, Fujian, China","institution_ids":["https://openalex.org/I75867142"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5080807489","https://openalex.org/A5100660001"],"corresponding_institution_ids":["https://openalex.org/I75867142"],"apc_list":{"value":2195,"currency":"USD","value_usd":2195},"apc_paid":{"value":2195,"currency":"USD","value_usd":2195},"fwci":3.5704,"has_fulltext":true,"cited_by_count":17,"citation_normalized_percentile":{"value":0.93828192,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"38","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12874","display_name":"Digital Imaging for Blood Diseases","score":0.9984999895095825,"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"}},"topics":[{"id":"https://openalex.org/T12874","display_name":"Digital Imaging for Blood Diseases","score":0.9984999895095825,"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/T11393","display_name":"Biosensors and Analytical Detection","score":0.9921000003814697,"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"}},{"id":"https://openalex.org/T11438","display_name":"Retinal Imaging and Analysis","score":0.983299970626831,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.846831202507019},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.5715209245681763},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3647417724132538},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3425801396369934},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.15374970436096191}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.846831202507019},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.5715209245681763},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3647417724132538},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3425801396369934},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.15374970436096191}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1080/08839514.2024.2318673","is_oa":true,"landing_page_url":"https://doi.org/10.1080/08839514.2024.2318673","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/08839514.2024.2318673?download=true","source":{"id":"https://openalex.org/S125501549","display_name":"Applied Artificial Intelligence","issn_l":"0883-9514","issn":["0883-9514","1087-6545"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Artificial Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:d68520b5b8ec453399acada3bfa82ddb","is_oa":false,"landing_page_url":"https://doaj.org/article/d68520b5b8ec453399acada3bfa82ddb","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Applied Artificial Intelligence, Vol 38, Iss 1 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1080/08839514.2024.2318673","is_oa":true,"landing_page_url":"https://doi.org/10.1080/08839514.2024.2318673","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/08839514.2024.2318673?download=true","source":{"id":"https://openalex.org/S125501549","display_name":"Applied Artificial Intelligence","issn_l":"0883-9514","issn":["0883-9514","1087-6545"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4321987983","display_name":null,"funder_award_id":"YKJ22029R","funder_id":"https://openalex.org/F4320322856","funder_display_name":"Xiamen University of Technology"},{"id":"https://openalex.org/G7983170876","display_name":null,"funder_award_id":"YKJ22028R","funder_id":"https://openalex.org/F4320322856","funder_display_name":"Xiamen University of Technology"},{"id":"https://openalex.org/G8055440262","display_name":null,"funder_award_id":"2023J05084","funder_id":"https://openalex.org/F4320321878","funder_display_name":"Natural Science Foundation of Fujian Province"},{"id":"https://openalex.org/G8921045366","display_name":null,"funder_award_id":"2023J011456","funder_id":"https://openalex.org/F4320321878","funder_display_name":"Natural Science Foundation of Fujian Province"}],"funders":[{"id":"https://openalex.org/F4320321878","display_name":"Natural Science Foundation of Fujian Province","ror":null},{"id":"https://openalex.org/F4320322856","display_name":"Xiamen University of Technology","ror":"https://ror.org/01285e189"},{"id":"https://openalex.org/F4320325434","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4392048111.pdf","grobid_xml":"https://content.openalex.org/works/W4392048111.grobid-xml"},"referenced_works_count":73,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1483870316","https://openalex.org/W2037227137","https://openalex.org/W2074146360","https://openalex.org/W2102605133","https://openalex.org/W2163448045","https://openalex.org/W2193145675","https://openalex.org/W2194775991","https://openalex.org/W2504335775","https://openalex.org/W2518303809","https://openalex.org/W2531409750","https://openalex.org/W2557738935","https://openalex.org/W2570343428","https://openalex.org/W2606314294","https://openalex.org/W2612445135","https://openalex.org/W2617049221","https://openalex.org/W2724359148","https://openalex.org/W2750239898","https://openalex.org/W2752782242","https://openalex.org/W2883780447","https://openalex.org/W2884585870","https://openalex.org/W2945576057","https://openalex.org/W2962858109","https://openalex.org/W2963037989","https://openalex.org/W2963125010","https://openalex.org/W2963163009","https://openalex.org/W2964121718","https://openalex.org/W2982083293","https://openalex.org/W2984155152","https://openalex.org/W2990763144","https://openalex.org/W2997281059","https://openalex.org/W2997747012","https://openalex.org/W3018757597","https://openalex.org/W3034552520","https://openalex.org/W3040866682","https://openalex.org/W3048426477","https://openalex.org/W3106250896","https://openalex.org/W3112972835","https://openalex.org/W3122173535","https://openalex.org/W3133153571","https://openalex.org/W3167977644","https://openalex.org/W3177052299","https://openalex.org/W3184439416","https://openalex.org/W3194790201","https://openalex.org/W3202135167","https://openalex.org/W3203232043","https://openalex.org/W4200557095","https://openalex.org/W4206628887","https://openalex.org/W4207016125","https://openalex.org/W4213313479","https://openalex.org/W4221011489","https://openalex.org/W4224137871","https://openalex.org/W4280618058","https://openalex.org/W4281679836","https://openalex.org/W4281790833","https://openalex.org/W4285820716","https://openalex.org/W4293584584","https://openalex.org/W4295856529","https://openalex.org/W4297676427","https://openalex.org/W4297775537","https://openalex.org/W4301597213","https://openalex.org/W4313334819","https://openalex.org/W4313558962","https://openalex.org/W4313584506","https://openalex.org/W4316813010","https://openalex.org/W4319067716","https://openalex.org/W4320477173","https://openalex.org/W4320487943","https://openalex.org/W4386076325","https://openalex.org/W4387332817","https://openalex.org/W6735463952","https://openalex.org/W6753412334","https://openalex.org/W6798838024"],"related_works":["https://openalex.org/W2755342338","https://openalex.org/W2058170566","https://openalex.org/W2036807459","https://openalex.org/W2772917594","https://openalex.org/W2775347418","https://openalex.org/W1969923398","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2079911747"],"abstract_inverted_index":{"Peripheral":[0],"blood":[1,39,61,67,138,154,183,194],"cell":[2,40,139,195],"detection":[3,53,100,120,140,158,184],"is":[4,12,29,64,166],"an":[5,32,44],"essential":[6],"component":[7],"of":[8,26,192],"medical":[9,173],"practice":[10],"and":[11,16,52,88,97,122,128,165,179,190],"used":[13],"to":[14,22,30,150],"diagnose":[15],"treat":[17],"diseases,":[18],"as":[19,21],"well":[20],"monitor":[23],"the":[24,59,75,79,84,89,133,136,143,188],"progress":[25],"therapies.Our":[27],"objective":[28],"construct":[31],"efficient":[33,172],"deep":[34],"learning":[35],"model":[36,69],"for":[37,169,182],"peripheral":[38,193],"analysis":[41,196],"that":[42,112,185],"achieves":[43,156],"optimized":[45],"balance":[46],"between":[47],"inference":[48],"speed,":[49],"computational":[50,163],"complexity,":[51],"accuracy.In":[54],"this":[55],"article,":[56],"we":[57],"propose":[58],"DWS-YOLO":[60],"detector,":[62],"which":[63],"a":[65,118,177],"lightweight":[66,76,103],"detector.Our":[68],"includes":[70],"several":[71],"improved":[72,90],"modules,":[73],"including":[74],"C3":[77,104],"module,":[78],"increased":[80],"combined":[81],"attention":[82],"mechanism,":[83],"Scylla-IoU":[85],"loss":[86,95],"function,":[87,96],"soft":[91],"non-maximum":[92],"suppression.Improved":[93],"attention,":[94],"suppression":[98],"enhance":[99,117],"accuracy,":[101],"while":[102,160],"module":[105],"reduces":[106],"computation":[107],"time.The":[108],"experiment":[109],"results":[110,127],"demonstrate":[111],"our":[113],"proposed":[114,144,153],"modules":[115],"can":[116],"detector's":[119,145],"performance,":[121],"obtain":[123],"new":[124],"state-of-the-art":[125],"(SOTA)":[126],"excellent":[129],"robustness":[130],"performance":[131,147],"on":[132],"BCCD":[134],"dataset.On":[135],"white":[137],"dataset":[141],"(Raabin-WBC),":[142],"generalization":[146],"was":[148],"confirmed":[149],"be":[151],"satisfactory.Our":[152],"detector":[155],"high":[157],"accuracy":[159],"requiring":[161],"few":[162],"resources":[164],"very":[167],"suitable":[168],"resource-limited":[170],"but":[171],"device":[174],"environments,":[175],"providing":[176],"reliable":[178],"advanced":[180],"solution":[181],"greatly":[186],"improves":[187],"efficiency":[189],"effectiveness":[191],"in":[197],"clinical":[198],"practice.":[199]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":3}],"updated_date":"2026-07-01T08:55:40.977307","created_date":"2025-10-10T00:00:00"}
