{"id":"https://openalex.org/W4393140438","doi":"https://doi.org/10.1109/tmi.2024.3381775","title":"Histopathology Image Classification With Noisy Labels via The Ranking Margins","display_name":"Histopathology Image Classification With Noisy Labels via The Ranking Margins","publication_year":2024,"publication_date":"2024-03-25","ids":{"openalex":"https://openalex.org/W4393140438","doi":"https://doi.org/10.1109/tmi.2024.3381775","pmid":"https://pubmed.ncbi.nlm.nih.gov/38526889"},"language":"en","primary_location":{"id":"doi:10.1109/tmi.2024.3381775","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2024.3381775","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Medical Imaging","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5007681737","display_name":"Zhijie Wen","orcid":"https://orcid.org/0000-0001-8514-1993"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhijie Wen","raw_affiliation_strings":["Department of Mathematics, College of Sciences, Shanghai University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-8514-1993","affiliations":[{"raw_affiliation_string":"Department of Mathematics, College of Sciences, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I113940042"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100824188","display_name":"Haixia Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haixia Wu","raw_affiliation_strings":["Department of Mathematics, College of Sciences, Shanghai University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics, College of Sciences, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I113940042"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063863772","display_name":"Shihui Ying","orcid":"https://orcid.org/0000-0001-9423-0146"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shihui Ying","raw_affiliation_strings":["Department of Mathematics, College of Sciences, Shanghai University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-9423-0146","affiliations":[{"raw_affiliation_string":"Department of Mathematics, College of Sciences, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I113940042"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I113940042"],"apc_list":null,"apc_paid":null,"fwci":0.2778,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.57486143,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"43","issue":"8","first_page":"2790","last_page":"2802"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9973000288009644,"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":0.9973000288009644,"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/T12874","display_name":"Digital Imaging for Blood Diseases","score":0.9912999868392944,"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/T10862","display_name":"AI in cancer detection","score":0.9891999959945679,"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/ranking","display_name":"Ranking (information retrieval)","score":0.7706061005592346},{"id":"https://openalex.org/keywords/margin","display_name":"Margin (machine learning)","score":0.6994051933288574},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6751710772514343},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6610066890716553},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5922956466674805},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5303707122802734},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.456348717212677},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3526708483695984}],"concepts":[{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.7706061005592346},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.6994051933288574},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6751710772514343},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6610066890716553},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5922956466674805},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5303707122802734},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.456348717212677},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3526708483695984}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D006651","descriptor_name":"Histocytochemistry","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D006651","descriptor_name":"Histocytochemistry","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D006651","descriptor_name":"Histocytochemistry","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D006651","descriptor_name":"Histocytochemistry","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D006652","descriptor_name":"Histological Techniques","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D006652","descriptor_name":"Histological Techniques","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D006652","descriptor_name":"Histological Techniques","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D006652","descriptor_name":"Histological Techniques","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1109/tmi.2024.3381775","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2024.3381775","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Medical Imaging","raw_type":"journal-article"},{"id":"pmid:38526889","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38526889","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,"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":"IEEE transactions on medical imaging","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Gender equality","id":"https://metadata.un.org/sdg/5","score":0.41999998688697815}],"awards":[{"id":"https://openalex.org/G4983102271","display_name":null,"funder_award_id":"2021YFA1003004","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G6835766493","display_name":"\u5927\u8111\u5f71\u50cf\u667a\u80fd\u5206\u6790\u7684\u5c0f\u6837\u672c\u5b66\u4e60\u7406\u8bba\u4e0e\u65b9\u6cd5\u7814\u7a76","funder_award_id":"11971296","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W369786348","https://openalex.org/W1975128126","https://openalex.org/W2187089797","https://openalex.org/W2296073425","https://openalex.org/W2409879278","https://openalex.org/W2560474170","https://openalex.org/W2774292910","https://openalex.org/W2791759999","https://openalex.org/W2806857275","https://openalex.org/W2887842788","https://openalex.org/W2912934043","https://openalex.org/W2956228567","https://openalex.org/W2963697299","https://openalex.org/W2964274690","https://openalex.org/W2966884791","https://openalex.org/W2967052791","https://openalex.org/W2979431884","https://openalex.org/W2981873476","https://openalex.org/W3035546924","https://openalex.org/W3099542745","https://openalex.org/W3122459568","https://openalex.org/W3132170818","https://openalex.org/W3171178188","https://openalex.org/W3173486383","https://openalex.org/W3211190672","https://openalex.org/W4206676556","https://openalex.org/W4312249250","https://openalex.org/W4367666062","https://openalex.org/W4390872979","https://openalex.org/W6631637080","https://openalex.org/W6678280073","https://openalex.org/W6679390333","https://openalex.org/W6736021936","https://openalex.org/W6742630102","https://openalex.org/W6743885473","https://openalex.org/W6747898760","https://openalex.org/W6750523955","https://openalex.org/W6751420435","https://openalex.org/W6751647823","https://openalex.org/W6751982396","https://openalex.org/W6753772092","https://openalex.org/W6758632346","https://openalex.org/W6762913911","https://openalex.org/W6768848008","https://openalex.org/W6768967079","https://openalex.org/W6770362605","https://openalex.org/W6771630921","https://openalex.org/W6772376969","https://openalex.org/W6778722377","https://openalex.org/W6779784029","https://openalex.org/W6779833867","https://openalex.org/W6810403944"],"related_works":["https://openalex.org/W3125011624","https://openalex.org/W1508631387","https://openalex.org/W2370917603","https://openalex.org/W2952760143","https://openalex.org/W2017776670","https://openalex.org/W2347897961","https://openalex.org/W2340870721","https://openalex.org/W2358318464","https://openalex.org/W2979236518","https://openalex.org/W2119384858"],"abstract_inverted_index":{"Clinically,":[0],"histopathology":[1,18,31],"images":[2],"always":[3],"offer":[4],"a":[5,77,82,91],"golden":[6],"standard":[7],"for":[8,165],"disease":[9],"diagnosis.":[10,24],"With":[11],"the":[12,21,44,60,106,127,130,135,139,142,150,154,163,187,190,195,208,222,229],"development":[13],"of":[14,23,43,144,210],"artificial":[15],"intelligence,":[16],"digital":[17],"significantly":[19],"improves":[20],"efficiency":[22],"Nevertheless,":[25],"noisy":[26,67,119],"labels":[27],"are":[28,159,192],"inevitable":[29],"in":[30,183],"images,":[32],"which":[33,95,113],"lead":[34],"to":[35,47,58,75,173,206],"poor":[36],"algorithm":[37],"efficiency.":[38],"Curriculum":[39],"learning":[40,54,85],"is":[41,87,96,147,180],"one":[42],"typical":[45],"methods":[46,55],"solve":[48],"such":[49],"problems.":[50],"However,":[51],"existing":[52],"curriculum":[53,79,84],"either":[56],"fail":[57],"measure":[59],"training":[61,132,156],"priority":[62],"between":[63,108],"difficult":[64,116],"samples":[65,109,117,158,196],"and":[66,110,118,134],"ones":[68],"or":[69],"need":[70],"an":[71],"extra":[72],"clean":[73],"dataset":[74],"establish":[76],"valid":[78],"scheme.":[80],"Therefore,":[81],"new":[83],"paradigm":[86],"designed":[88],"based":[89],"on":[90,194,214],"proposed":[92,122,223],"ranking":[93,103,151],"function,":[94],"named":[97],"The":[98,102,121,212],"Ranking":[99],"Margins":[100],"(TRM).":[101],"function":[104],"measures":[105],"'distances'":[107],"decision":[111],"boundaries,":[112],"helps":[114],"distinguish":[115],"ones.":[120,177],"method":[123,224],"includes":[124],"three":[125],"stages:":[126],"warm-up":[128,140],"stage,":[129,141,157,189],"main":[131,155],"stage":[133],"fine-tuning":[136,188],"stage.":[137,185],"In":[138,153,186,200],"margin":[143],"each":[145],"sample":[146],"obtained":[148],"through":[149],"function.":[152],"progressively":[160],"fed":[161],"into":[162],"networks":[164,191],"training,":[166],"starting":[167],"from":[168],"those":[169,174],"with":[170,175,197],"larger":[171],"margins":[172],"smaller":[176],"Label":[178,231],"correction":[179],"also":[181],"performed":[182],"this":[184],"retrained":[193],"corrected":[198],"labels.":[199],"addition,":[201],"we":[202],"provide":[203],"theoretical":[204],"analysis":[205],"guarantee":[207],"feasibility":[209],"TRM.":[211],"experiments":[213],"two":[215],"representative":[216],"histopathologies":[217],"image":[218],"datasets":[219],"show":[220],"that":[221],"achieves":[225],"substantial":[226],"improvements":[227],"over":[228],"latest":[230],"Noise":[232],"Learning":[233],"(LNL)":[234],"methods.":[235]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}