{"id":"https://openalex.org/W4214938700","doi":"https://doi.org/10.1038/s41467-022-28818-3","title":"Active label cleaning for improved dataset quality under resource constraints","display_name":"Active label cleaning for improved dataset quality under resource constraints","publication_year":2022,"publication_date":"2022-03-04","ids":{"openalex":"https://openalex.org/W4214938700","doi":"https://doi.org/10.1038/s41467-022-28818-3","mag":"3196415121","pmid":"https://pubmed.ncbi.nlm.nih.gov/35246539","pmcid":"https://www.ncbi.nlm.nih.gov/pmc/articles/8897392"},"language":"en","primary_location":{"id":"doi:10.1038/s41467-022-28818-3","doi":"https://doi.org/10.1038/s41467-022-28818-3","is_oa":true,"landing_page_url":"https://doi.org/10.1038/s41467-022-28818-3","pdf_url":"https://www.nature.com/articles/s41467-022-28818-3.pdf","source":{"id":"https://openalex.org/S64187185","display_name":"Nature Communications","issn_l":"2041-1723","issn":["2041-1723"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","doaj","dongbi-a","doyens","jufo-3","ki-jl-3","medline","norway-2","oarl","poland-200","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310319908","host_organization_name":"Nature Portfolio","host_organization_lineage":["https://openalex.org/P4310319908","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Nature Portfolio","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Nature Communications","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["arxiv","crossref","datacite","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.nature.com/articles/s41467-022-28818-3.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5043673097","display_name":"M\u00e9lanie Roschewitz","orcid":"https://orcid.org/0000-0002-6739-1638","observed_orcids":["https://orcid.org/0000-0002-6739-1638"]},"institutions":[{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"M\u00e9lanie Bernhardt","raw_affiliation_strings":["Health Intelligence, Microsoft Research Cambridge, Cambridge, CB1 2FB, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Health Intelligence, Microsoft Research Cambridge, Cambridge, CB1 2FB, UK","institution_ids":["https://openalex.org/I4210164937"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037843387","display_name":"Daniel C. Castro","orcid":"https://orcid.org/0000-0002-6829-7045","observed_orcids":["https://orcid.org/0000-0002-6829-7045"]},"institutions":[{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Daniel C. Castro","raw_affiliation_strings":["Health Intelligence, Microsoft Research Cambridge, Cambridge, CB1 2FB, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Health Intelligence, Microsoft Research Cambridge, Cambridge, CB1 2FB, UK","institution_ids":["https://openalex.org/I4210164937"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064157732","display_name":"Ryutaro Tanno","orcid":"https://orcid.org/0000-0002-8107-6730","observed_orcids":["https://orcid.org/0000-0002-8107-6730"]},"institutions":[{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Ryutaro Tanno","raw_affiliation_strings":["Health Intelligence, Microsoft Research Cambridge, Cambridge, CB1 2FB, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Health Intelligence, Microsoft Research Cambridge, Cambridge, CB1 2FB, UK","institution_ids":["https://openalex.org/I4210164937"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010707054","display_name":"Anton Schwaighofer","orcid":"https://orcid.org/0000-0003-1557-0527","observed_orcids":["https://orcid.org/0000-0003-1557-0527"]},"institutions":[{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Anton Schwaighofer","raw_affiliation_strings":["Health Intelligence, Microsoft Research Cambridge, Cambridge, CB1 2FB, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Health Intelligence, Microsoft Research Cambridge, Cambridge, CB1 2FB, UK","institution_ids":["https://openalex.org/I4210164937"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076029140","display_name":"Kerem Can Tezcan","orcid":"https://orcid.org/0000-0002-9675-0708","observed_orcids":["https://orcid.org/0000-0002-9675-0708"]},"institutions":[{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Kerem C. Tezcan","raw_affiliation_strings":["Health Intelligence, Microsoft Research Cambridge, Cambridge, CB1 2FB, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Health Intelligence, Microsoft Research Cambridge, Cambridge, CB1 2FB, UK","institution_ids":["https://openalex.org/I4210164937"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007028300","display_name":"Miguel Monteiro","orcid":"https://orcid.org/0000-0003-3425-5645","observed_orcids":["https://orcid.org/0000-0003-3425-5645"]},"institutions":[{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Miguel Monteiro","raw_affiliation_strings":["Health Intelligence, Microsoft Research Cambridge, Cambridge, CB1 2FB, UK"],"raw_orcid":"https://orcid.org/0000-0003-3425-5645","affiliations":[{"raw_affiliation_string":"Health Intelligence, Microsoft Research Cambridge, Cambridge, CB1 2FB, UK","institution_ids":["https://openalex.org/I4210164937"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081683131","display_name":"Shruthi Bannur","orcid":"https://orcid.org/0000-0001-5750-7628","observed_orcids":["https://orcid.org/0000-0001-5750-7628"]},"institutions":[{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Shruthi Bannur","raw_affiliation_strings":["Health Intelligence, Microsoft Research Cambridge, Cambridge, CB1 2FB, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Health Intelligence, Microsoft Research Cambridge, Cambridge, CB1 2FB, UK","institution_ids":["https://openalex.org/I4210164937"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038969629","display_name":"Matthew P. Lungren","orcid":"https://orcid.org/0000-0002-8591-5861","observed_orcids":["https://orcid.org/0000-0002-8591-5861","https://orcid.org/0000-0002-8457-9034"]},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Matthew P. Lungren","raw_affiliation_strings":["Department of Radiology, Stanford University, Palo Alto, CA, 94304, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Radiology, Stanford University, Palo Alto, CA, 94304, USA","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112528494","display_name":"Aditya Nori","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Aditya Nori","raw_affiliation_strings":["Health Intelligence, Microsoft Research Cambridge, Cambridge, CB1 2FB, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Health Intelligence, Microsoft Research Cambridge, Cambridge, CB1 2FB, UK","institution_ids":["https://openalex.org/I4210164937"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007222325","display_name":"Ben Glocker","orcid":"https://orcid.org/0000-0002-4897-9356","observed_orcids":["https://orcid.org/0000-0002-4897-9356"]},"institutions":[{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Ben Glocker","raw_affiliation_strings":["Health Intelligence, Microsoft Research Cambridge, Cambridge, CB1 2FB, UK"],"raw_orcid":"https://orcid.org/0000-0002-4897-9356","affiliations":[{"raw_affiliation_string":"Health Intelligence, Microsoft Research Cambridge, Cambridge, CB1 2FB, UK","institution_ids":["https://openalex.org/I4210164937"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050558499","display_name":"Javier Alvarez-Valle","orcid":"https://orcid.org/0000-0003-0906-4177","observed_orcids":["https://orcid.org/0000-0003-0906-4177"]},"institutions":[{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Javier Alvarez-Valle","raw_affiliation_strings":["Health Intelligence, Microsoft Research Cambridge, Cambridge, CB1 2FB, UK"],"raw_orcid":"https://orcid.org/0000-0003-0906-4177","affiliations":[{"raw_affiliation_string":"Health Intelligence, Microsoft Research Cambridge, Cambridge, CB1 2FB, UK","institution_ids":["https://openalex.org/I4210164937"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038400548","display_name":"Ozan Oktay","orcid":"https://orcid.org/0000-0003-2976-0874","observed_orcids":["https://orcid.org/0000-0003-2976-0874","https://orcid.org/0009-0006-9319-9136"]},"institutions":[{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Ozan Oktay","raw_affiliation_strings":["Health Intelligence, Microsoft Research Cambridge, Cambridge, CB1 2FB, UK. ozan.oktay@microsoft.com","Health Intelligence, Microsoft Research Cambridge, Cambridge, CB1 2FB, UK"],"raw_orcid":"https://orcid.org/0000-0003-2976-0874","affiliations":[{"raw_affiliation_string":"Health Intelligence, Microsoft Research Cambridge, Cambridge, CB1 2FB, UK. ozan.oktay@microsoft.com","institution_ids":["https://openalex.org/I4210164937"]},{"raw_affiliation_string":"Health Intelligence, Microsoft Research Cambridge, Cambridge, CB1 2FB, UK","institution_ids":["https://openalex.org/I4210164937"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5038400548"],"corresponding_institution_ids":["https://openalex.org/I4210164937"],"apc_list":{"value":5890,"currency":"USD","value_usd":5890},"apc_paid":{"value":5890,"currency":"USD","value_usd":5890},"fwci":6.4173,"has_fulltext":true,"cited_by_count":128,"citation_normalized_percentile":{"value":0.97800934,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":87,"max":100},"biblio":{"volume":"13","issue":"1","first_page":"1161","last_page":"1161"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":1.0,"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/T12535","display_name":"Machine Learning and Data Classification","score":1.0,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.0,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.0,"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/noisy-labels","display_name":"label noise","score":0.8349999785423279},{"id":"https://openalex.org/keywords/noisy-label-correction","display_name":"noisy label correction","score":0.6940000057220459},{"id":"https://openalex.org/keywords/diagnostic-imaging","display_name":"diagnostic imaging","score":0.4560000002384186},{"id":"https://openalex.org/keywords/resource-limited-settings","display_name":"resource-limited settings","score":0.8389999866485596},{"id":"https://openalex.org/keywords/dataset-quality","display_name":"dataset quality","score":0.7459999918937683}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8584721088409424},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7070044279098511},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6464189887046814},{"id":"https://openalex.org/C55439883","wikidata":"https://www.wikidata.org/wiki/Q360812","display_name":"Correctness","level":2,"score":0.6322205066680908},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.6173112392425537},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6092390418052673},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5531472563743591},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5500746965408325},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.5196715593338013},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.5121791362762451},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4804653525352478},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0854448676109314},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.07447034120559692},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003695","descriptor_name":"Delivery of Health Care","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003952","descriptor_name":"Diagnostic Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D019985","descriptor_name":"Benchmarking","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D066289","descriptor_name":"Data Curation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":8,"locations":[{"id":"doi:10.1038/s41467-022-28818-3","doi":"https://doi.org/10.1038/s41467-022-28818-3","is_oa":true,"landing_page_url":"https://doi.org/10.1038/s41467-022-28818-3","pdf_url":"https://www.nature.com/articles/s41467-022-28818-3.pdf","source":{"id":"https://openalex.org/S64187185","display_name":"Nature Communications","issn_l":"2041-1723","issn":["2041-1723"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","doaj","dongbi-a","doyens","jufo-3","ki-jl-3","medline","norway-2","oarl","poland-200","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310319908","host_organization_name":"Nature Portfolio","host_organization_lineage":["https://openalex.org/P4310319908","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Nature Portfolio","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Nature Communications","raw_type":"journal-article"},{"id":"pmid:35246539","doi":null,"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/35246539","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Nature communications","raw_type":"Journal Article"},{"id":"pmh:oai:pubmedcentral.nih.gov:8897392","doi":null,"is_oa":true,"landing_page_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC8897392/","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Nat Commun","raw_type":"Text"},{"id":"pmh:oai:arXiv.org:2109.00574","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2109.00574","pdf_url":"https://arxiv.org/pdf/2109.00574","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"mag:3196415121","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/pdf/2109.00574v1","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"pmh:oai:RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-28818-3","doi":null,"is_oa":false,"landing_page_url":"https://www.nature.com/articles/s41467-022-28818-3","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},{"id":"pmh:oai:doaj.org/article:70d06a2166804fea9694afa4ba328c23","doi":null,"is_oa":true,"landing_page_url":"https://doaj.org/article/70d06a2166804fea9694afa4ba328c23","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Nature Communications, Vol 13, Iss 1, Pp 1-11 (2022)","raw_type":"article"},{"id":"doi:10.48550/arxiv.2109.00574","doi":"https://doi.org/10.48550/arxiv.2109.00574","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2109.00574","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"doi:10.1038/s41467-022-28818-3","doi":"https://doi.org/10.1038/s41467-022-28818-3","is_oa":true,"landing_page_url":"https://doi.org/10.1038/s41467-022-28818-3","pdf_url":"https://www.nature.com/articles/s41467-022-28818-3.pdf","source":{"id":"https://openalex.org/S64187185","display_name":"Nature Communications","issn_l":"2041-1723","issn":["2041-1723"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","doaj","dongbi-a","doyens","jufo-3","ki-jl-3","medline","norway-2","oarl","poland-200","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310319908","host_organization_name":"Nature Portfolio","host_organization_lineage":["https://openalex.org/P4310319908","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Nature Portfolio","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Nature Communications","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320308943","display_name":"Microsoft Research","ror":"https://ror.org/00d0nc645"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4214938700.pdf","grobid_xml":"https://content.openalex.org/works/W4214938700.grobid-xml"},"referenced_works_count":57,"referenced_works":["https://openalex.org/W342038080","https://openalex.org/W569478347","https://openalex.org/W1872312298","https://openalex.org/W1981276685","https://openalex.org/W2095705004","https://openalex.org/W2144513243","https://openalex.org/W2147687736","https://openalex.org/W2148347694","https://openalex.org/W2150612552","https://openalex.org/W2156163116","https://openalex.org/W2167460663","https://openalex.org/W2176159905","https://openalex.org/W2194775991","https://openalex.org/W2293363371","https://openalex.org/W2557738935","https://openalex.org/W2579642215","https://openalex.org/W2581377246","https://openalex.org/W2597787948","https://openalex.org/W2611650229","https://openalex.org/W2626967530","https://openalex.org/W2682189153","https://openalex.org/W2754530731","https://openalex.org/W2762741128","https://openalex.org/W2772357980","https://openalex.org/W2774918944","https://openalex.org/W2803187616","https://openalex.org/W2903996579","https://openalex.org/W2909793444","https://openalex.org/W2942457804","https://openalex.org/W2950220847","https://openalex.org/W2951786554","https://openalex.org/W2963466845","https://openalex.org/W2963735582","https://openalex.org/W2964121744","https://openalex.org/W2964292098","https://openalex.org/W2966462242","https://openalex.org/W2969769592","https://openalex.org/W2970206392","https://openalex.org/W2978471258","https://openalex.org/W2979302305","https://openalex.org/W2988175183","https://openalex.org/W2988966271","https://openalex.org/W2991676991","https://openalex.org/W2996108195","https://openalex.org/W3005680577","https://openalex.org/W3009419078","https://openalex.org/W3034363135","https://openalex.org/W3034978746","https://openalex.org/W3035060554","https://openalex.org/W3035695020","https://openalex.org/W3042609801","https://openalex.org/W3083484445","https://openalex.org/W3102583815","https://openalex.org/W3104255659","https://openalex.org/W3118608800","https://openalex.org/W3173733742","https://openalex.org/W3175272368"],"related_works":["https://openalex.org/W3196415121","https://openalex.org/W4286902710","https://openalex.org/W4403069461","https://openalex.org/W7164378599","https://openalex.org/W7197002514","https://openalex.org/W3206469576","https://openalex.org/W4402618519","https://openalex.org/W2950198253","https://openalex.org/W7134185860","https://openalex.org/W4394789392"],"abstract_inverted_index":{"Imperfections":[0],"in":[1,42,134],"data":[2],"annotation,":[3],"known":[4],"as":[5,46],"label":[6,33,63,73],"noise,":[7],"are":[8],"detrimental":[9],"to":[10,31,55,67,71,86,125],"the":[11,23,118],"training":[12],"of":[13,25,78,140],"machine":[14],"learning":[15],"models":[16],"and":[17,75,81,95,115],"have":[18],"a":[19,52,83,97],"confounding":[20],"effect":[21],"on":[22,92,96,111],"assessment":[24],"model":[26,112],"performance.":[27],"Nevertheless,":[28],"employing":[29],"experts":[30],"remove":[32],"noise":[34],"by":[35],"fully":[36],"re-annotating":[37],"large":[38],"datasets":[39],"is":[40],"infeasible":[41],"resource-constrained":[43],"settings,":[44],"such":[45],"healthcare.":[47],"This":[48],"work":[49],"advocates":[50],"for":[51,58,144],"data-driven":[53],"approach":[54,120],"prioritising":[56],"samples":[57],"re-annotation-which":[59],"we":[60],"term":[61],"\"active":[62],"cleaning\".":[64],"We":[65],"propose":[66],"rank":[68],"instances":[69],"according":[70],"estimated":[72],"correctness":[74],"labelling":[76],"difficulty":[77],"each":[79],"sample,":[80],"introduce":[82],"simulation":[84],"framework":[85],"evaluate":[87],"relabelling":[88],"efficacy.":[89],"Our":[90],"experiments":[91],"natural":[93],"images":[94],"specifically-devised":[98],"medical":[99],"imaging":[100],"benchmark":[101],"show":[102],"that":[103],"cleaning":[104],"noisy":[105],"labels":[106,123],"mitigates":[107],"their":[108],"negative":[109],"impact":[110],"training,":[113],"evaluation,":[114],"selection.":[116],"Crucially,":[117],"proposed":[119],"enables":[121],"correcting":[122],"up":[124],"4":[126],"\u00d7":[127],"more":[128],"effectively":[129],"than":[130],"typical":[131],"random":[132],"selection":[133],"realistic":[135],"conditions,":[136],"making":[137],"better":[138],"use":[139],"experts'":[141],"valuable":[142],"time":[143],"improving":[145],"dataset":[146],"quality.":[147]},"counts_by_year":[{"year":2026,"cited_by_count":30},{"year":2025,"cited_by_count":33},{"year":2024,"cited_by_count":41},{"year":2023,"cited_by_count":17},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":1}],"updated_date":"2026-11-10T11:39:43.021295","created_date":"2022-03-05T00:00:00"}
