{"id":"https://openalex.org/W4362564458","doi":"https://doi.org/10.1145/3577164.3577174","title":"An Unsupervised HIV Lateral Flow Immunochromatography Detection Algorithm Based on K-Means++","display_name":"An Unsupervised HIV Lateral Flow Immunochromatography Detection Algorithm Based on K-Means++","publication_year":2022,"publication_date":"2022-11-25","ids":{"openalex":"https://openalex.org/W4362564458","doi":"https://doi.org/10.1145/3577164.3577174"},"language":"en","primary_location":{"id":"doi:10.1145/3577164.3577174","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3577164.3577174","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3577164.3577174","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 4th International Conference on Video, Signal and Image Processing","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3577164.3577174","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5064928960","display_name":"Guijun Miao","orcid":"https://orcid.org/0000-0002-8266-9482"},"institutions":[{"id":"https://openalex.org/I75390827","display_name":"Beijing University of Chemical Technology","ror":"https://ror.org/00df5yc52","country_code":"CN","type":"education","lineage":["https://openalex.org/I75390827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guijun Miao","raw_affiliation_strings":["College of Information Science and Technology, Beijing University of Chemical Technology, China"],"raw_orcid":"https://orcid.org/0000-0002-8266-9482","affiliations":[{"raw_affiliation_string":"College of Information Science and Technology, Beijing University of Chemical Technology, China","institution_ids":["https://openalex.org/I75390827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027918688","display_name":"Yifan Wu","orcid":"https://orcid.org/0000-0001-6812-3152"},"institutions":[{"id":"https://openalex.org/I75390827","display_name":"Beijing University of Chemical Technology","ror":"https://ror.org/00df5yc52","country_code":"CN","type":"education","lineage":["https://openalex.org/I75390827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yifan Wu","raw_affiliation_strings":["College of Information Science and Technology, Beijing University of Chemical Technology, China"],"raw_orcid":"https://orcid.org/0000-0001-6812-3152","affiliations":[{"raw_affiliation_string":"College of Information Science and Technology, Beijing University of Chemical Technology, China","institution_ids":["https://openalex.org/I75390827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085749302","display_name":"Xianbo Qiu","orcid":"https://orcid.org/0000-0002-1579-593X"},"institutions":[{"id":"https://openalex.org/I75390827","display_name":"Beijing University of Chemical Technology","ror":"https://ror.org/00df5yc52","country_code":"CN","type":"education","lineage":["https://openalex.org/I75390827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xianbo Qiu","raw_affiliation_strings":["College of Information Science and Technology, Beijing University of Chemical Technology, China"],"raw_orcid":"https://orcid.org/0000-0002-1579-593X","affiliations":[{"raw_affiliation_string":"College of Information Science and Technology, Beijing University of Chemical Technology, China","institution_ids":["https://openalex.org/I75390827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015915270","display_name":"Fang Li","orcid":"https://orcid.org/0000-0002-7707-9891"},"institutions":[{"id":"https://openalex.org/I75390827","display_name":"Beijing University of Chemical Technology","ror":"https://ror.org/00df5yc52","country_code":"CN","type":"education","lineage":["https://openalex.org/I75390827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fang Li","raw_affiliation_strings":["College of Information Science and Technology, Beijing University of Chemical Technology, China"],"raw_orcid":"https://orcid.org/0000-0002-7707-9891","affiliations":[{"raw_affiliation_string":"College of Information Science and Technology, Beijing University of Chemical Technology, China","institution_ids":["https://openalex.org/I75390827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I75390827"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.35686742,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"62","last_page":"67"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11393","display_name":"Biosensors and Analytical Detection","score":0.9955000281333923,"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"}},"topics":[{"id":"https://openalex.org/T11393","display_name":"Biosensors and Analytical Detection","score":0.9955000281333923,"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/T12867","display_name":"Advanced Biosensing Techniques and Applications","score":0.9872000217437744,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9702000021934509,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.735405683517456},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6270927786827087},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.5879872441291809},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.541377604007721},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5344877243041992},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.49849534034729004},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.45476868748664856},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.43228524923324585},{"id":"https://openalex.org/keywords/statistical-classification","display_name":"Statistical classification","score":0.4290527403354645},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2943819761276245}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.735405683517456},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6270927786827087},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.5879872441291809},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.541377604007721},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5344877243041992},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.49849534034729004},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.45476868748664856},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.43228524923324585},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.4290527403354645},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2943819761276245}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3577164.3577174","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3577164.3577174","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3577164.3577174","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 4th International Conference on Video, Signal and Image Processing","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3577164.3577174","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3577164.3577174","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3577164.3577174","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 4th International Conference on Video, Signal and Image Processing","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.7099999785423279}],"awards":[{"id":"https://openalex.org/G1560933246","display_name":null,"funder_award_id":"81871505","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1890746594","display_name":null,"funder_award_id":"XK1802-4","funder_id":"https://openalex.org/F4320329860","funder_display_name":"National Science and Technology Major Project"},{"id":"https://openalex.org/G3436021547","display_name":null,"funder_award_id":"81871505, 61971026","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4366356027","display_name":null,"funder_award_id":"81871505","funder_id":"https://openalex.org/F4320329860","funder_display_name":"National Science and Technology Major Project"},{"id":"https://openalex.org/G4793972535","display_name":null,"funder_award_id":"XK1802-4","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G5468309947","display_name":null,"funder_award_id":"BUCTYLKJCX06","funder_id":"https://openalex.org/F4320324303","funder_display_name":"Beijing University of Chemical Technology"},{"id":"https://openalex.org/G6739687923","display_name":null,"funder_award_id":"2018ZX10732101-001-009","funder_id":"https://openalex.org/F4320329860","funder_display_name":"National Science and Technology Major Project"},{"id":"https://openalex.org/G7022072039","display_name":"\u57fa\u4e8e\u5355\u5206\u5b50\u6210\u50cf\u7684\u589e\u5f3a\u578bTIRF-SPR\u53cc\u6a21\u5e76\u884c\u68c0\u6d4b\u65b9\u6cd5\u53ca\u5176\u5e94\u7528\u7814\u7a76","funder_award_id":"61971026","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7159198718","display_name":null,"funder_award_id":"XK1802","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G7385471556","display_name":null,"funder_award_id":"XK1802-4","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8046165409","display_name":null,"funder_award_id":"buctylkjcx06","funder_id":"https://openalex.org/F4320329860","funder_display_name":"National Science and Technology Major Project"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320324303","display_name":"Beijing University of Chemical Technology","ror":"https://ror.org/00df5yc52"},{"id":"https://openalex.org/F4320329860","display_name":"National Science and Technology Major Project","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4362564458.pdf","grobid_xml":"https://content.openalex.org/works/W4362564458.grobid-xml"},"referenced_works_count":17,"referenced_works":["https://openalex.org/W1986278262","https://openalex.org/W2110778788","https://openalex.org/W2113540758","https://openalex.org/W2136335734","https://openalex.org/W2145892166","https://openalex.org/W2163500463","https://openalex.org/W2174347897","https://openalex.org/W2317066306","https://openalex.org/W2606436201","https://openalex.org/W2908740079","https://openalex.org/W2909867351","https://openalex.org/W3178720202","https://openalex.org/W3207974361","https://openalex.org/W4225854737","https://openalex.org/W4229799588","https://openalex.org/W4285055032","https://openalex.org/W4285264348"],"related_works":["https://openalex.org/W2090763504","https://openalex.org/W2086889680","https://openalex.org/W3153505674","https://openalex.org/W4246466849","https://openalex.org/W2997511728","https://openalex.org/W2525967854","https://openalex.org/W2119349310","https://openalex.org/W4388878069","https://openalex.org/W4312478656","https://openalex.org/W4379364525"],"abstract_inverted_index":{"As":[0],"a":[1],"convenient":[2],"biochemical":[3],"detection":[4,18,51,61,139],"technology,":[5],"colloidal":[6,47,58],"gold":[7,48,59],"strip":[8,35,50,60,76],"lateral":[9],"flow":[10],"immunochromatography":[11],"has":[12],"been":[13],"widely":[14],"used":[15,107],"in":[16,52],"disease":[17],"and":[19,23,32,66,71,85,102,147,156],"diagnosis,":[20],"food":[21],"safety":[22],"other":[24],"fields.":[25],"In":[26],"order":[27],"to":[28,45,108],"achieve":[29],"high":[30],"accuracy":[31,135],"efficient":[33],"test":[34,49,176],"detection,":[36],"the":[37,110,116,120,128,137,143,152,157,165,170],"artificial":[38],"intelligence-based":[39],"image":[40,77,80,92],"classification":[41,97,111,117,134],"method":[42],"was":[43],"applied":[44],"HIV":[46,57],"this":[53],"paper.":[54],"An":[55],"unsupervised":[56,138],"algorithm":[62,122,140],"based":[63,141],"on":[64,142],"K-means++":[65,79,146],"machine":[67],"learning":[68,130],"is":[69,123,154,159],"proposed,":[70],"key":[72],"technologies":[73],"such":[74],"as":[75],"preprocessing,":[78],"segmentation":[81],"method,":[82],"data":[83],"enhancement":[84],"K":[86],"value":[87],"selection":[88],"are":[89],"studied.":[90],"Three":[91],"classifiers":[93],"KNN(K":[94],"nearest":[95],"neighbor":[96],"algorithm),":[98],"SVC(support":[99],"vector":[100],"machine)":[101],"GaussianNB(Gaussian":[103],"Bayes":[104],"classifier)":[105],"were":[106],"compare":[109],"effect.":[112],"Experiments":[113],"show":[114],"that":[115,126],"effect":[118],"of":[119,127,136,145,173],"proposed":[121],"better":[124],"than":[125],"deep":[129],"yolox":[131],"network.":[132],"The":[133],"combination":[144],"KNN":[148],"can":[149,162],"reach":[150],"94%,":[151],"sensitivity":[153],"98%,":[155],"specificity":[158],"80%,":[160],"which":[161],"well":[163],"solve":[164],"misjudgment":[166],"problem":[167],"caused":[168],"by":[169],"insignificant":[171],"T-line":[172],"weak":[174],"positive":[175],"strips.":[177]},"counts_by_year":[],"updated_date":"2026-08-04T08:18:43.703281","created_date":"2025-10-10T00:00:00"}
