{"id":"https://openalex.org/W4393970003","doi":"https://doi.org/10.1145/3644116.3644303","title":"Classification of Red Blood Cell Aggregation Based on Statistical Features of Ultrasonic Radiofrequency Echo Signals and Subspace K-nearest Neighbor Classifier","display_name":"Classification of Red Blood Cell Aggregation Based on Statistical Features of Ultrasonic Radiofrequency Echo Signals and Subspace K-nearest Neighbor Classifier","publication_year":2023,"publication_date":"2023-10-20","ids":{"openalex":"https://openalex.org/W4393970003","doi":"https://doi.org/10.1145/3644116.3644303"},"language":"en","primary_location":{"id":"doi:10.1145/3644116.3644303","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3644116.3644303","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 4th International Symposium on Artificial Intelligence for Medicine Science","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/A5070376634","display_name":"Hong Tang","orcid":"https://orcid.org/0009-0005-0868-5803"},"institutions":[{"id":"https://openalex.org/I189210763","display_name":"Yunnan University","ror":"https://ror.org/0040axw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I189210763"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hong Tang","raw_affiliation_strings":["Department of Electronic Engineering, Information School, Yunnan University, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Information School, Yunnan University, China","institution_ids":["https://openalex.org/I189210763"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015199815","display_name":"Bingbing He","orcid":"https://orcid.org/0000-0002-9233-9372"},"institutions":[{"id":"https://openalex.org/I189210763","display_name":"Yunnan University","ror":"https://ror.org/0040axw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I189210763"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bingbing He","raw_affiliation_strings":["Department of Electronic Engineering, Information School, Yunnan University, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Information School, Yunnan University, China","institution_ids":["https://openalex.org/I189210763"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100459696","display_name":"Yufeng Zhang","orcid":"https://orcid.org/0000-0003-0992-1642"},"institutions":[{"id":"https://openalex.org/I189210763","display_name":"Yunnan University","ror":"https://ror.org/0040axw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I189210763"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yufeng Zhang","raw_affiliation_strings":["Department of Electronic Engineering, Information School, Yunnan University, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Information School, Yunnan University, China","institution_ids":["https://openalex.org/I189210763"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003880368","display_name":"Zerong Liao","orcid":null},"institutions":[{"id":"https://openalex.org/I26080491","display_name":"Kunming Medical University","ror":"https://ror.org/038c3w259","country_code":"CN","type":"education","lineage":["https://openalex.org/I26080491"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zerong Liao","raw_affiliation_strings":["College of Rehabilitation, Kunming Medical University, China"],"affiliations":[{"raw_affiliation_string":"College of Rehabilitation, Kunming Medical University, China","institution_ids":["https://openalex.org/I26080491"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074082348","display_name":"Xun Lang","orcid":"https://orcid.org/0000-0001-7380-6935"},"institutions":[{"id":"https://openalex.org/I189210763","display_name":"Yunnan University","ror":"https://ror.org/0040axw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I189210763"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xun Lang","raw_affiliation_strings":["Department of Electronic Engineering, Information School, Yunnan University, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Information School, Yunnan University, China","institution_ids":["https://openalex.org/I189210763"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057284786","display_name":"Jingying Zhu","orcid":"https://orcid.org/0009-0009-7303-8548"},"institutions":[{"id":"https://openalex.org/I189210763","display_name":"Yunnan University","ror":"https://ror.org/0040axw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I189210763"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingying Zhu","raw_affiliation_strings":["Department of Electronic Engineering, Information School, Yunnan University, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Information School, Yunnan University, China","institution_ids":["https://openalex.org/I189210763"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5070376634"],"corresponding_institution_ids":["https://openalex.org/I189210763"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.21734463,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1096","last_page":"1100"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12874","display_name":"Digital Imaging for Blood Diseases","score":0.9987000226974487,"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":0.9987000226974487,"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/T11324","display_name":"Spectroscopy Techniques in Biomedical and Chemical Research","score":0.978600025177002,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9519000053405762,"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/k-nearest-neighbors-algorithm","display_name":"k-nearest neighbors algorithm","score":0.716019868850708},{"id":"https://openalex.org/keywords/ultrasonic-sensor","display_name":"Ultrasonic sensor","score":0.6678307056427002},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.6598079204559326},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6480029225349426},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6355608701705933},{"id":"https://openalex.org/keywords/echo","display_name":"Echo (communications protocol)","score":0.586876630783081},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5770673751831055},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.516895055770874},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3551742434501648},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.17737334966659546},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.1656196117401123}],"concepts":[{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.716019868850708},{"id":"https://openalex.org/C81288441","wikidata":"https://www.wikidata.org/wiki/Q20736125","display_name":"Ultrasonic sensor","level":2,"score":0.6678307056427002},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.6598079204559326},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6480029225349426},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6355608701705933},{"id":"https://openalex.org/C2779426996","wikidata":"https://www.wikidata.org/wiki/Q18389128","display_name":"Echo (communications protocol)","level":2,"score":0.586876630783081},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5770673751831055},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.516895055770874},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3551742434501648},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.17737334966659546},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.1656196117401123},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3644116.3644303","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3644116.3644303","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 4th International Symposium on Artificial Intelligence for Medicine Science","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/2","score":0.4699999988079071,"display_name":"Zero hunger"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1800492920","https://openalex.org/W1976282478","https://openalex.org/W2068446107","https://openalex.org/W2071101040","https://openalex.org/W2091992212","https://openalex.org/W2167614328","https://openalex.org/W2172000360","https://openalex.org/W2409049382","https://openalex.org/W2970608889","https://openalex.org/W3134789080"],"related_works":["https://openalex.org/W1473737476","https://openalex.org/W1980381208","https://openalex.org/W2949162897","https://openalex.org/W2364594919","https://openalex.org/W2061432289","https://openalex.org/W2276571074","https://openalex.org/W2380370662","https://openalex.org/W2610976665","https://openalex.org/W2353772996","https://openalex.org/W2349488418"],"abstract_inverted_index":{"A":[0],"red":[1],"blood":[2,14,35,103,179],"cell":[3],"(RBC)":[4],"aggregation":[5,95,193],"classification":[6,128,142,165],"method":[7,157],"based":[8,118,134],"on":[9,119,135],"statistical":[10,62,65],"features":[11,66],"combination":[12,110],"of":[13,34,67,152,167,178,191],"ultrasonic":[15,30],"radiofrequency":[16],"(RF)":[17],"echo":[18,32,58],"signals":[19,33],"and":[20,46,74,84,181,194],"subspace":[21,137],"K-nearest":[22],"neighbor":[23],"(KNN)":[24],"classifier":[25,139],"is":[26,88,116,130,144,172],"proposed":[27,112],"here.":[28],"The":[29],"RF":[31,57],"are":[36,77],"decomposed":[37],"using":[38,100],"empirical":[39],"wavelet":[40],"transform":[41],"(EWT).":[42],"Since":[43],"different":[44,55,61,93],"densities":[45],"spatial":[47],"organization":[48],"in":[49,113,158,186],"the":[50,68,71,107,120,127,136,141,156,164,175,187],"scattering":[51],"distribution":[52],"can":[53,161],"generate":[54],"ultrasound":[56,69,168],"data":[59],"with":[60,148],"properties,":[63],"three":[64],"signals,":[70],"mode,":[72],"range,":[73],"trimmed":[75],"mean,":[76],"extracted":[78],"to":[79,90],"form":[80],"a":[81],"feature":[82,109],"vector,":[83],"then":[85],"machine":[86,123],"learning":[87],"used":[89],"classify":[91],"six":[92],"RBC":[94,169,192],"degrees.":[96],"In":[97,154],"vitro":[98],"experiments":[99],"fresh":[101],"porcine":[102],"have":[104],"shown":[105],"that":[106],"new":[108],"analysis":[111],"this":[114,159],"paper":[115,160],"effective,":[117],"support":[121],"vector":[122],"(SVM)":[124],"multi-classifier":[125],"method,":[126,140],"accuracy":[129,143,166],"88.47":[131],"\u00b1":[132,146],"0.62%;":[133],"KNN":[138],"93.78":[145],"0.56%,":[147],"an":[149],"average":[150],"improvement":[151],"5.31%.":[153],"conclusion,":[155],"effectively":[162],"improve":[163],"aggregation,":[170],"which":[171],"helpful":[173],"for":[174],"auxiliary":[176],"diagnosis":[177],"diseases":[180],"has":[182],"potential":[183],"application":[184],"value":[185],"non-invasive":[188],"real-time":[189],"monitoring":[190],"other":[195],"aspects.":[196]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
