{"id":"https://openalex.org/W4410298117","doi":"https://doi.org/10.1109/isbi60581.2025.10980938","title":"Robust Classification of Urinary Sediment with Limited Data Through Semi-Supervised Ensemble Models","display_name":"Robust Classification of Urinary Sediment with Limited Data Through Semi-Supervised Ensemble Models","publication_year":2025,"publication_date":"2025-04-14","ids":{"openalex":"https://openalex.org/W4410298117","doi":"https://doi.org/10.1109/isbi60581.2025.10980938"},"language":"en","primary_location":{"id":"doi:10.1109/isbi60581.2025.10980938","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi60581.2025.10980938","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 22nd International Symposium on Biomedical Imaging (ISBI)","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/A5114949266","display_name":"Tsuyoshi Koyama","orcid":"https://orcid.org/0000-0002-8862-0372"},"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":"Tasuku Koyama","raw_affiliation_strings":["Graduate School of Information Science and Technology, Osaka University,Osaka,Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Information Science and Technology, Osaka University,Osaka,Japan","institution_ids":["https://openalex.org/I98285908"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109896004","display_name":"Norihiko 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":false,"raw_author_name":"Naoya Oda","raw_affiliation_strings":["Graduate School of Information Science and Technology, Osaka University,Osaka,Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Information Science and Technology, Osaka University,Osaka,Japan","institution_ids":["https://openalex.org/I98285908"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113813933","display_name":"Y. Yano","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":"Yuri Yano","raw_affiliation_strings":["Graduate School of Information Science and Technology, Osaka University,Osaka,Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Information Science and Technology, Osaka University,Osaka,Japan","institution_ids":["https://openalex.org/I98285908"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075308907","display_name":"Hiroki Nishikawa","orcid":"https://orcid.org/0000-0002-9626-0944"},"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, Osaka University,Osaka,Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Information Science and Technology, Osaka University,Osaka,Japan","institution_ids":["https://openalex.org/I98285908"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050838950","display_name":"Ittetsu Taniguchi","orcid":"https://orcid.org/0000-0002-7843-5907"},"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, Osaka University,Osaka,Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Information Science and Technology, Osaka University,Osaka,Japan","institution_ids":["https://openalex.org/I98285908"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061693379","display_name":"Takao Onoye","orcid":"https://orcid.org/0000-0002-1894-2448"},"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, Osaka University,Osaka,Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Information Science and Technology, Osaka University,Osaka,Japan","institution_ids":["https://openalex.org/I98285908"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5114949266"],"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":0.11059158,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12120","display_name":"Air Quality Monitoring and Forecasting","score":0.6988000273704529,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12120","display_name":"Air Quality Monitoring and Forecasting","score":0.6988000273704529,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/urinary-sediment","display_name":"Urinary sediment","score":0.8082789182662964},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6253453493118286},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.44484078884124756},{"id":"https://openalex.org/keywords/sediment","display_name":"Sediment","score":0.437974214553833},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40394866466522217},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3642445206642151},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3426518738269806},{"id":"https://openalex.org/keywords/urinary-system","display_name":"Urinary system","score":0.26804476976394653},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.2155822217464447},{"id":"https://openalex.org/keywords/geomorphology","display_name":"Geomorphology","score":0.09200769662857056},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.06827479600906372}],"concepts":[{"id":"https://openalex.org/C2910111155","wikidata":"https://www.wikidata.org/wiki/Q245639","display_name":"Urinary sediment","level":3,"score":0.8082789182662964},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6253453493118286},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.44484078884124756},{"id":"https://openalex.org/C2816523","wikidata":"https://www.wikidata.org/wiki/Q180184","display_name":"Sediment","level":2,"score":0.437974214553833},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40394866466522217},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3642445206642151},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3426518738269806},{"id":"https://openalex.org/C77411442","wikidata":"https://www.wikidata.org/wiki/Q181100","display_name":"Urinary system","level":2,"score":0.26804476976394653},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.2155822217464447},{"id":"https://openalex.org/C114793014","wikidata":"https://www.wikidata.org/wiki/Q52109","display_name":"Geomorphology","level":1,"score":0.09200769662857056},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.06827479600906372},{"id":"https://openalex.org/C134018914","wikidata":"https://www.wikidata.org/wiki/Q162606","display_name":"Endocrinology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi60581.2025.10980938","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi60581.2025.10980938","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 22nd International Symposium on Biomedical Imaging (ISBI)","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":5,"referenced_works":["https://openalex.org/W4287322212","https://openalex.org/W4300981647","https://openalex.org/W4394862919","https://openalex.org/W4401878722","https://openalex.org/W6773005947"],"related_works":["https://openalex.org/W2386880853","https://openalex.org/W4396997533","https://openalex.org/W4376643315","https://openalex.org/W4324137541","https://openalex.org/W2900445707","https://openalex.org/W4285741730","https://openalex.org/W1191482210","https://openalex.org/W4285046548","https://openalex.org/W3092276832","https://openalex.org/W4375951447"],"abstract_inverted_index":{"This":[0,91],"paper":[1],"proposes":[2],"ensemble-based":[3],"approaches":[4],"to":[5],"improve":[6],"classification":[7,107],"performance":[8,108],"with":[9,30],"limited":[10],"labeled":[11,32],"data":[12,33,101],"in":[13,49,74,79],"urine":[14],"sediment":[15],"images.":[16],"These":[17,67],"methods":[18],"achieve":[19],"significant":[20],"advancements":[21],"over":[22],"conventional":[23],"approaches.":[24],"In":[25],"experiments,":[26],"for":[27,56,87,95],"the":[28,35,70],"case":[29],"102":[31],"points,":[34],"proposed":[36],"techniques":[37],"achieved":[38],"F1":[39],"scores":[40],"of":[41,72],"0.884":[42],"and":[43,52,62,77,85],"0.901,":[44],"substantially":[45],"outperforming":[46],"state-of-the-art":[47],"baselines":[48],"both":[50],"precision":[51],"recall.":[53],"Classification":[54],"accuracy":[55,86],"rare":[57,88],"classes,":[58],"such":[59],"as":[60],"Cryst":[61],"Cast,":[63],"also":[64],"improved":[65],"considerably.":[66],"results":[68],"emphasize":[69],"effectiveness":[71],"ensembling":[73],"reducing":[75],"overfitting":[76],"variance":[78],"data-scarce":[80],"settings,":[81],"particularly":[82],"enhancing":[83],"stability":[84],"particle":[89],"classification.":[90],"approach":[92],"holds":[93],"potential":[94],"fields":[96],"like":[97],"medical":[98],"imaging,":[99],"where":[100],"is":[102,109],"often":[103],"limited,":[104],"yet":[105],"high":[106],"essential.":[110]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}