{"id":"https://openalex.org/W7084044101","doi":"https://doi.org/10.1109/newcas64648.2025.11107135","title":"Improving Accuracy of Urinary Sediment Particles Based on Hierarchical Multi-Class Classification","display_name":"Improving Accuracy of Urinary Sediment Particles Based on Hierarchical Multi-Class Classification","publication_year":2025,"publication_date":"2025-06-22","ids":{"openalex":"https://openalex.org/W7084044101","doi":"https://doi.org/10.1109/newcas64648.2025.11107135"},"language":"en","primary_location":{"id":"doi:10.1109/newcas64648.2025.11107135","is_oa":false,"landing_page_url":"https://doi.org/10.1109/newcas64648.2025.11107135","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 23rd IEEE Interregional NEWCAS Conference (NEWCAS)","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":null,"display_name":"Naoya Oda","orcid":null},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"Osaka University","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Naoya Oda","raw_affiliation_strings":["Graduate School of Information Science and Technology, The University of Osaka,Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Information Science and Technology, The University of Osaka,Japan","institution_ids":["https://openalex.org/I98285908"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Hiroki Nishikawa","orcid":null},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"Osaka University","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hiroki Nishikawa","raw_affiliation_strings":["Graduate School of Information Science and Technology, The University of Osaka,Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Information Science and Technology, The University of Osaka,Japan","institution_ids":["https://openalex.org/I98285908"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Ittetsu Taniguchi","orcid":null},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"Osaka University","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Ittetsu Taniguchi","raw_affiliation_strings":["Graduate School of Information Science and Technology, The University of Osaka,Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Information Science and Technology, The University of Osaka,Japan","institution_ids":["https://openalex.org/I98285908"]}]},{"author_position":"last","author":{"id":null,"display_name":"Takao Onoye","orcid":null},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"Osaka University","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takao Onoye","raw_affiliation_strings":["Graduate School of Information Science and Technology, The University of Osaka,Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Information Science and Technology, The University of Osaka,Japan","institution_ids":["https://openalex.org/I98285908"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I98285908"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.76378136,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"187","last_page":"191"},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.5591999888420105,"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"}},"topics":[{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.5591999888420105,"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"}},{"id":"https://openalex.org/T10567","display_name":"Vehicle Routing Optimization Methods","score":0.05609999969601631,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/T12709","display_name":"Optimization and Mathematical Programming","score":0.031300000846385956,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"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/urinary-sediment","display_name":"Urinary sediment","score":0.7997000217437744},{"id":"https://openalex.org/keywords/sediment","display_name":"Sediment","score":0.666700005531311},{"id":"https://openalex.org/keywords/particle","display_name":"Particle (ecology)","score":0.39100000262260437},{"id":"https://openalex.org/keywords/statistical-classification","display_name":"Statistical classification","score":0.2879999876022339},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.28189998865127563}],"concepts":[{"id":"https://openalex.org/C2910111155","wikidata":"https://www.wikidata.org/wiki/Q245639","display_name":"Urinary sediment","level":3,"score":0.7997000217437744},{"id":"https://openalex.org/C2816523","wikidata":"https://www.wikidata.org/wiki/Q180184","display_name":"Sediment","level":2,"score":0.666700005531311},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.39500001072883606},{"id":"https://openalex.org/C2778517922","wikidata":"https://www.wikidata.org/wiki/Q7140482","display_name":"Particle (ecology)","level":2,"score":0.39100000262260437},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.38499999046325684},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38440001010894775},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3546000123023987},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.2879999876022339},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.28189998865127563},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.27309998869895935},{"id":"https://openalex.org/C77411442","wikidata":"https://www.wikidata.org/wiki/Q181100","display_name":"Urinary system","level":2,"score":0.27239999175071716},{"id":"https://openalex.org/C13460635","wikidata":"https://www.wikidata.org/wiki/Q85753676","display_name":"Classification scheme","level":2,"score":0.26969999074935913},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.2630000114440918},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.26100000739097595}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/newcas64648.2025.11107135","is_oa":false,"landing_page_url":"https://doi.org/10.1109/newcas64648.2025.11107135","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 23rd IEEE Interregional NEWCAS Conference (NEWCAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W2168490582","https://openalex.org/W2169107221","https://openalex.org/W2483762335","https://openalex.org/W2970323927","https://openalex.org/W2988544408","https://openalex.org/W3134825748","https://openalex.org/W4361273792","https://openalex.org/W4401878722"],"related_works":[],"abstract_inverted_index":{"Urinary":[0,36],"sediment":[1,37,64,124],"examination":[2],"is":[3,12,24],"essential":[4],"for":[5,113],"health":[6],"assessment,":[7],"and":[8,81],"deep":[9],"learning-based":[10],"classification":[11,60,74,80,111,119],"gaining":[13],"attention":[14],"in":[15],"clinical":[16],"automation.":[17],"However,":[18,117],"the":[19,59,89,99,103,118],"creation":[20],"of":[21,61,120],"medical":[22],"datasets":[23],"costly,":[25],"necessitating":[26],"models":[27],"that":[28,76,98],"achieve":[29],"high":[30],"accuracy":[31],"even":[32],"with":[33,43],"limited":[34],"data.":[35],"particles":[38,65,125],"exhibit":[39],"significant":[40],"morphological":[41],"diversity,":[42],"many":[44],"visually":[45],"similar":[46],"shapes.":[47],"Consequently,":[48],"when":[49,88],"classifying":[50],"by":[51,105],"morphology,":[52],"extreme":[53],"data":[54],"imbalance":[55],"can":[56],"occur,":[57],"making":[58],"rare":[62,122],"urinary":[63,123],"particularly":[66],"challenging.":[67],"This":[68],"paper":[69],"proposes":[70],"a":[71,93,109,127],"hierarchical":[72],"multi-class":[73],"method":[75,101],"first":[77],"performs":[78],"coarse":[79],"then":[82],"refines":[83],"it":[84],"into":[85],"finer":[86],"categories":[87],"confidence":[90],"level":[91],"exceeds":[92],"threshold.":[94],"Experimental":[95],"results":[96],"show":[97],"proposed":[100],"improves":[102],"F1-score":[104],"2.8%":[106],"compared":[107],"to":[108],"single-stage":[110],"approach":[112],"15":[114],"particle":[115],"types.":[116],"extremely":[121],"remains":[126],"challenge.":[128]},"counts_by_year":[],"updated_date":"2025-12-22T23:10:17.713674","created_date":"2025-10-10T00:00:00"}