{"id":"https://openalex.org/W4400489945","doi":"https://doi.org/10.1109/cscwd61410.2024.10580458","title":"Study on the Impact of Different Anchor Quantities in pneumonia X-ray Object Detection Based on the YOLO Series","display_name":"Study on the Impact of Different Anchor Quantities in pneumonia X-ray Object Detection Based on the YOLO Series","publication_year":2024,"publication_date":"2024-05-08","ids":{"openalex":"https://openalex.org/W4400489945","doi":"https://doi.org/10.1109/cscwd61410.2024.10580458"},"language":"en","primary_location":{"id":"doi:10.1109/cscwd61410.2024.10580458","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/cscwd61410.2024.10580458","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 27th International Conference on Computer Supported Cooperative Work in Design (CSCWD)","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/A5028556593","display_name":"Dongsheng Ji","orcid":"https://orcid.org/0000-0001-7955-365X"},"institutions":[{"id":"https://openalex.org/I22716506","display_name":"Lanzhou University of Technology","ror":"https://ror.org/03panb555","country_code":"CN","type":"education","lineage":["https://openalex.org/I22716506"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongsheng Ji","raw_affiliation_strings":["Lanzhou University of Technology,College of Computer and Communication,Lanzhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lanzhou University of Technology,College of Computer and Communication,Lanzhou,China","institution_ids":["https://openalex.org/I22716506"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5093738106","display_name":"Caidan Zhuoma","orcid":"https://orcid.org/0009-0008-7321-1497"},"institutions":[{"id":"https://openalex.org/I22716506","display_name":"Lanzhou University of Technology","ror":"https://ror.org/03panb555","country_code":"CN","type":"education","lineage":["https://openalex.org/I22716506"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Caidan Zhuoma","raw_affiliation_strings":["Lanzhou University of Technology,College of Computer and Communication,Lanzhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lanzhou University of Technology,College of Computer and Communication,Lanzhou,China","institution_ids":["https://openalex.org/I22716506"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101328778","display_name":"Juntong Du","orcid":"https://orcid.org/0009-0001-4381-5280"},"institutions":[{"id":"https://openalex.org/I22716506","display_name":"Lanzhou University of Technology","ror":"https://ror.org/03panb555","country_code":"CN","type":"education","lineage":["https://openalex.org/I22716506"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Juntong Du","raw_affiliation_strings":["Lanzhou University of Technology,College of Computer and Communication,Lanzhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lanzhou University of Technology,College of Computer and Communication,Lanzhou,China","institution_ids":["https://openalex.org/I22716506"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101504024","display_name":"Dandan Zou","orcid":"https://orcid.org/0000-0002-0023-5403"},"institutions":[{"id":"https://openalex.org/I22716506","display_name":"Lanzhou University of Technology","ror":"https://ror.org/03panb555","country_code":"CN","type":"education","lineage":["https://openalex.org/I22716506"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"DanDan Zou","raw_affiliation_strings":["Lanzhou University of Technology,College of Computer and Communication,Lanzhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lanzhou University of Technology,College of Computer and Communication,Lanzhou,China","institution_ids":["https://openalex.org/I22716506"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100459168","display_name":"Zheng Zhang","orcid":"https://orcid.org/0000-0003-1470-6998"},"institutions":[{"id":"https://openalex.org/I22716506","display_name":"Lanzhou University of Technology","ror":"https://ror.org/03panb555","country_code":"CN","type":"education","lineage":["https://openalex.org/I22716506"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zheng Zhang","raw_affiliation_strings":["Lanzhou University of Technology,College of Computer and Communication,Lanzhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lanzhou University of Technology,College of Computer and Communication,Lanzhou,China","institution_ids":["https://openalex.org/I22716506"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I22716506"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.15542232,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1122","last_page":"1127"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9970999956130981,"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"}},"topics":[{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9970999956130981,"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"}},{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9890000224113464,"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"}},{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9487000107765198,"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/series","display_name":"Series (stratigraphy)","score":0.6847862601280212},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5513482093811035},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5261682271957397},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4783306121826172},{"id":"https://openalex.org/keywords/pneumonia","display_name":"Pneumonia","score":0.4728301465511322},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4390721917152405},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4235853850841522},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.2066827118396759},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.18549564480781555},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.08326667547225952}],"concepts":[{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.6847862601280212},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5513482093811035},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5261682271957397},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4783306121826172},{"id":"https://openalex.org/C2777914695","wikidata":"https://www.wikidata.org/wiki/Q12192","display_name":"Pneumonia","level":2,"score":0.4728301465511322},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4390721917152405},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4235853850841522},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2066827118396759},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.18549564480781555},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.08326667547225952},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cscwd61410.2024.10580458","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/cscwd61410.2024.10580458","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 27th International Conference on Computer Supported Cooperative Work in Design (CSCWD)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W2031489346","https://openalex.org/W2038577554","https://openalex.org/W2572859058","https://openalex.org/W2963037989","https://openalex.org/W2995833348","https://openalex.org/W3016610966","https://openalex.org/W3022592783","https://openalex.org/W3105153358","https://openalex.org/W3184439416","https://openalex.org/W3215778722","https://openalex.org/W4206946787","https://openalex.org/W4293584584","https://openalex.org/W4386076325","https://openalex.org/W4388823657","https://openalex.org/W6678914141","https://openalex.org/W6750227808","https://openalex.org/W6798838024"],"related_works":["https://openalex.org/W1919101720","https://openalex.org/W4390822878","https://openalex.org/W96888382","https://openalex.org/W2041308758","https://openalex.org/W4386126592","https://openalex.org/W4392529072","https://openalex.org/W4394131749","https://openalex.org/W2737719445","https://openalex.org/W4292830139","https://openalex.org/W4319309705"],"abstract_inverted_index":{"While":[0],"the":[1,32,42,62,81,115,150,162],"COVID-19":[2,176],"pandemic":[3],"may":[4],"have":[5],"ended,":[6],"developing":[7],"quick,":[8],"efficient,":[9],"and":[10,34,47,104,111,122,131,139,144,154,173],"accurate":[11],"diagnostic":[12],"methods":[13],"remains":[14],"crucial.":[15],"In":[16],"this":[17],"regard,":[18],"analyzing":[19],"chest":[20],"X-ray":[21],"images":[22],"using":[23],"machine":[24],"learning":[25],"technologies":[26],"has":[27],"demonstrated":[28],"significant":[29],"potential":[30],"in":[31,51,61,67,114,171],"detection":[33,54,66,74,87,177,182],"diagnosis":[35],"of":[36,44,64,83,152,175],"COVID-19.":[37],"This":[38],"study":[39],"delves":[40],"into":[41],"influence":[43],"anchor":[45],"quantities":[46],"different":[48,99],"clustering":[49,100,157],"algorithms":[50,101],"various":[52],"object":[53,65],"algorithms.":[55],"Anchors":[56],"act":[57],"as":[58],"reference":[59],"boxes":[60],"task":[63],"Convolutional":[68],"Neural":[69],"Networks":[70],"(CNN),":[71],"significantly":[72],"impacting":[73],"precision.":[75],"Our":[76],"research":[77],"finds":[78],"that":[79,148],"optimizing":[80],"quantity":[82],"anchors":[84,113,153],"can":[85,167],"enhance":[86],"performance":[88,123,170],"by":[89],"achieving":[90],"a":[91],"subtle":[92],"balance":[93],"to":[94],"prevent":[95],"overfitting.":[96],"We":[97,146],"evaluated":[98],"like":[102,142],"k-means":[103],"R-sample,":[105],"each":[106],"under":[107,161],"scenarios":[108],"with":[109,137],"3":[110],"9":[112],"YOLO":[116],"series":[117],"algorithms,":[118],"on":[119,124],"their":[120],"impact":[121],"mAP,":[125],"LAMR,":[126],"Recall,":[127],"Precision,":[128],"Fl":[129],"Score,":[130],"AP.":[132],"Additionally,":[133],"we":[134],"compared":[135],"these":[136],"FRCNN":[138],"anchor-free":[140,181],"models":[141],"YOLOX":[143],"Y0L0v8.":[145],"concluded":[147],"adjusting":[149],"number":[151],"applying":[155],"specific":[156],"algorithms\u2019":[158],"synergistic":[159],"effects":[160],"same":[163],"dataset,":[164],"certain":[165],"combinations":[166],"offer":[168],"superior":[169],"speed":[172],"accuracy":[174],"than":[178],"current":[179],"mature":[180],"techniques.":[183]},"counts_by_year":[],"updated_date":"2025-12-26T23:08:49.675405","created_date":"2025-10-10T00:00:00"}