{"id":"https://openalex.org/W7166888049","doi":"https://doi.org/10.1002/cpe.70833","title":"Rethinking Lightweight Vision Transformers for Complex Medical Scenes: Blood Cell Detection With ASBH\u2010DETR","display_name":"Rethinking Lightweight Vision Transformers for Complex Medical Scenes: Blood Cell Detection With ASBH\u2010DETR","publication_year":2026,"publication_date":"2026-07-01","ids":{"openalex":"https://openalex.org/W7166888049","doi":"https://doi.org/10.1002/cpe.70833"},"language":"en","primary_location":{"id":"doi:10.1002/cpe.70833","doi":"https://doi.org/10.1002/cpe.70833","is_oa":false,"landing_page_url":"https://doi.org/10.1002/cpe.70833","pdf_url":null,"source":{"id":"https://openalex.org/S11065456","display_name":"Concurrency and Computation Practice and Experience","issn_l":"1532-0626","issn":["1532-0626","1532-0634"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","jufo-1","norway-1"],"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Concurrency and Computation: Practice and Experience","raw_type":"journal-article"},"volume":null,"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/A5133417590","display_name":"Wei Li","orcid":"https://orcid.org/0009-0003-6543-6948","observed_orcids":["https://orcid.org/0009-0003-6543-6948"]},"institutions":[{"id":"https://openalex.org/I100188998","display_name":"Harbin University of Science and Technology","ror":"https://ror.org/04e6y1282","country_code":"CN","type":"education","lineage":["https://openalex.org/I100188998"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Li","raw_affiliation_strings":["School of Automation Harbin University of Science and Technology  Harbin China"],"raw_orcid":"https://orcid.org/0009-0003-6543-6948","affiliations":[{"raw_affiliation_string":"School of Automation Harbin University of Science and Technology  Harbin China","institution_ids":["https://openalex.org/I100188998"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139779804","display_name":"Xingwei Yao","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I100188998","display_name":"Harbin University of Science and Technology","ror":"https://ror.org/04e6y1282","country_code":"CN","type":"education","lineage":["https://openalex.org/I100188998"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingwei Yao","raw_affiliation_strings":["School of Automation Harbin University of Science and Technology  Harbin China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation Harbin University of Science and Technology  Harbin China","institution_ids":["https://openalex.org/I100188998"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009964071","display_name":"Hongyang Luan","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I100188998","display_name":"Harbin University of Science and Technology","ror":"https://ror.org/04e6y1282","country_code":"CN","type":"education","lineage":["https://openalex.org/I100188998"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongyang Luan","raw_affiliation_strings":["School of Automation Harbin University of Science and Technology  Harbin China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation Harbin University of Science and Technology  Harbin China","institution_ids":["https://openalex.org/I100188998"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5139716036","display_name":"Yingtao Lyu","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I100188998","display_name":"Harbin University of Science and Technology","ror":"https://ror.org/04e6y1282","country_code":"CN","type":"education","lineage":["https://openalex.org/I100188998"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yingtao Lyu","raw_affiliation_strings":["School of Automation Harbin University of Science and Technology  Harbin China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation Harbin University of Science and Technology  Harbin China","institution_ids":["https://openalex.org/I100188998"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I100188998"],"apc_list":{"value":5140,"currency":"USD","value_usd":5140},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.49201597,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"38","issue":"13","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":0.9926999807357788,"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":0.9926999807357788,"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/T12859","display_name":"Cell Image Analysis Techniques","score":0.006300000008195639,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.0007999999797903001,"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/blood-cell-detection","display_name":"blood cell detection","score":0.9919999837875366},{"id":"https://openalex.org/keywords/lightweight-vision-transformer","display_name":"lightweight vision transformer","score":0.7360000014305115},{"id":"https://openalex.org/keywords/hematological-disease-diagnosis","display_name":"hematological disease diagnosis","score":0.7879999876022339},{"id":"https://openalex.org/keywords/microscopy-images","display_name":"microscopic images","score":0.48399999737739563},{"id":"https://openalex.org/keywords/model-efficiency","display_name":"model efficiency","score":0.42800000309944153}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8503000140190125},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5673999786376953},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.4991999864578247},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.4722999930381775},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4659000039100647},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.4569000005722046},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43540000915527344},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.3917999863624573},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.37610000371932983},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.3447999954223633},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3391999900341034},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3165000081062317},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3091999888420105},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.30169999599456787},{"id":"https://openalex.org/C3261483","wikidata":"https://www.wikidata.org/wiki/Q119565","display_name":"Frame rate","level":2,"score":0.28110000491142273},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.2590999901294708},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.25760000944137573},{"id":"https://openalex.org/C66024118","wikidata":"https://www.wikidata.org/wiki/Q1122506","display_name":"Computational model","level":2,"score":0.25519999861717224}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1002/cpe.70833","doi":"https://doi.org/10.1002/cpe.70833","is_oa":false,"landing_page_url":"https://doi.org/10.1002/cpe.70833","pdf_url":null,"source":{"id":"https://openalex.org/S11065456","display_name":"Concurrency and Computation Practice and Experience","issn_l":"1532-0626","issn":["1532-0626","1532-0634"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","jufo-1","norway-1"],"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Concurrency and Computation: Practice and Experience","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5683000087738037,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"sustainable_development_goals_aurora":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1901616594","https://openalex.org/W2032673367","https://openalex.org/W2057673518","https://openalex.org/W2163448045","https://openalex.org/W2738582428","https://openalex.org/W2917761380","https://openalex.org/W2963140852","https://openalex.org/W3133153571","https://openalex.org/W3179072224","https://openalex.org/W3200847902","https://openalex.org/W4214841728","https://openalex.org/W4289754920","https://openalex.org/W4313481407","https://openalex.org/W4366813967","https://openalex.org/W4383196954","https://openalex.org/W4386368639","https://openalex.org/W4390116416","https://openalex.org/W4390629764","https://openalex.org/W4392650824","https://openalex.org/W4395085190","https://openalex.org/W4401908051","https://openalex.org/W4405844208","https://openalex.org/W4412514596","https://openalex.org/W4415795831"],"related_works":[],"abstract_inverted_index":{"ABSTRACT":[0],"In":[1,215],"the":[2,6,58,76,117,127,135,151,158,167,173,189],"field":[3],"of":[4,8,138,160,177,184],"biomedicine,":[5],"detection":[7],"blood":[9,236],"cells":[10],"in":[11,121,240],"microscopic":[12],"images":[13],"is":[14,32],"crucial":[15],"for":[16,232],"diagnosing":[17],"hematological":[18],"diseases.":[19],"However,":[20],"when":[21],"faced":[22],"with":[23,44],"multiscale,":[24],"dense,":[25],"and":[26,84,111,141,148,170,179,186,195,204,225],"overlapping":[27,139],"cells,":[28],"traditional":[29],"manual":[30],"counting":[31],"laborious,":[33],"while":[34,94,207],"common":[35],"deep":[36],"learning":[37],"methods":[38],"struggle":[39],"to":[40,74,115],"balance":[41,221],"high":[42],"accuracy":[43],"real\u2010time":[45],"performance.":[46],"To":[47],"address":[48],"these":[49],"challenges,":[50],"this":[51],"study":[52],"proposes":[53],"a":[54,80,102,229],"high\u2010precision,":[55,234],"lightweight":[56],"model,":[57],"Adaptive":[59,68],"Spatial\u2010frequency":[60,128],"Blood\u2010cell":[61],"Hybrid":[62,152],"Detection":[63],"Transformer":[64],"(ASBH\u2010DETR).":[65],"First,":[66],"an":[67,219],"Kernel":[69],"Mixer":[70],"(AKM)":[71],"was":[72],"designed":[73,126],"reconstruct":[75],"backbone":[77],"network;":[78],"through":[79,144],"dynamic":[81],"kernel":[82],"recalibration":[83],"parallel":[85],"processing":[86],"mechanism,":[87],"it":[88],"enhances":[89,134],"multiscale":[90,142],"cellular":[91],"feature":[92,162],"capture":[93],"significantly":[95,133],"reducing":[96],"computational":[97,196],"redundancy.":[98],"Second,":[99],"we":[100,125],"employed":[101],"Bipolar":[103],"Attention":[104],"Layer":[105],"(BAL),":[106],"leveraging":[107],"its":[108,192],"polarity":[109],"decomposition":[110,147],"spike":[112],"recovery":[113],"properties":[114],"improve":[116],"model's":[118,136],"focusing":[119],"precision":[120],"dense":[122],"regions.":[123],"Next,":[124],"Aggregation":[129],"Network":[130],"(SANet),":[131],"which":[132],"perception":[137],"boundaries":[140],"targets":[143],"multibranch":[145],"spatial\u2010frequency":[146],"fusion.":[149],"Finally,":[150],"Downsample":[153],"Module":[154],"(HBDM)":[155],"effectively":[156],"resolves":[157],"issue":[159],"high\u2010frequency":[161],"loss":[163],"during":[164],"downsampling.":[165],"On":[166],"public":[168],"BCCD":[169],"SCAD":[171],"datasets,":[172],"model":[174,226],"achieved":[175],"scores":[176],"92.6%":[178],"85.1%,":[180],"respectively,":[181,206],"representing":[182],"improvements":[183],"2.6%":[185],"2.8%":[187],"over":[188],"baseline.":[190],"Concurrently,":[191],"parameter":[193],"count":[194],"complexity":[197],"(FLOPs)":[198],"were":[199],"substantially":[200],"reduced":[201],"by":[202,212],"30.4%":[203],"28.6%,":[205],"inference":[208],"speed":[209],"(FPS)":[210],"increased":[211],"approximately":[213],"55.2%.":[214],"summary,":[216],"ASBH\u2010DETR":[217],"strikes":[218],"excellent":[220],"among":[222],"accuracy,":[223],"speed,":[224],"efficiency,":[227],"offering":[228],"reliable":[230],"solution":[231],"deploying":[233],"automated":[235],"cell":[237],"analysis":[238],"systems":[239],"resource\u2010constrained":[241],"clinical":[242],"environments.":[243]},"counts_by_year":[],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2026-07-02T00:00:00"}