{"id":"https://openalex.org/W4406458487","doi":"https://doi.org/10.1109/bigdata62323.2024.10825864","title":"Semi-supervised Learning to Defer Algorithm for Lung Disease Diagnosis","display_name":"Semi-supervised Learning to Defer Algorithm for Lung Disease Diagnosis","publication_year":2024,"publication_date":"2024-12-15","ids":{"openalex":"https://openalex.org/W4406458487","doi":"https://doi.org/10.1109/bigdata62323.2024.10825864"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata62323.2024.10825864","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata62323.2024.10825864","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Big Data (BigData)","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/A5016221510","display_name":"Haoqing Chen","orcid":"https://orcid.org/0000-0002-4290-6092"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Haoqing Chen","raw_affiliation_strings":["East China Normal University,School of Computer Science and Technology,Shanghai,China"],"affiliations":[{"raw_affiliation_string":"East China Normal University,School of Computer Science and Technology,Shanghai,China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101748265","display_name":"Bo Jin","orcid":"https://orcid.org/0000-0003-1028-5989"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Jin","raw_affiliation_strings":["Tongji University,School of Software Engineering,Shanghai,China"],"affiliations":[{"raw_affiliation_string":"Tongji University,School of Software Engineering,Shanghai,China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037050578","display_name":"Xiangfeng Wang","orcid":"https://orcid.org/0000-0003-1802-4425"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangfeng Wang","raw_affiliation_strings":["East China Normal University,School of Computer Science and Technology,Shanghai,China"],"affiliations":[{"raw_affiliation_string":"East China Normal University,School of Computer Science and Technology,Shanghai,China","institution_ids":["https://openalex.org/I66867065"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5016221510"],"corresponding_institution_ids":["https://openalex.org/I66867065"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.36351297,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"4474","last_page":"4481"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9958999752998352,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9958999752998352,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9954000115394592,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9620000123977661,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6529942750930786},{"id":"https://openalex.org/keywords/disease","display_name":"Disease","score":0.5125865340232849},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.497866153717041},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4803113341331482},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4354539215564728},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.23412644863128662},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.11179167032241821}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6529942750930786},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.5125865340232849},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.497866153717041},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4803113341331482},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4354539215564728},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.23412644863128662},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.11179167032241821}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata62323.2024.10825864","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata62323.2024.10825864","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Big Data (BigData)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4300000071525574,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1583837637","https://openalex.org/W2100791815","https://openalex.org/W2194775991","https://openalex.org/W2581082771","https://openalex.org/W2604738573","https://openalex.org/W2911495555","https://openalex.org/W2914304175","https://openalex.org/W2931108066","https://openalex.org/W2990138404","https://openalex.org/W2991676991","https://openalex.org/W3033696290","https://openalex.org/W3163443091","https://openalex.org/W3177525997","https://openalex.org/W3199908710","https://openalex.org/W4214708455","https://openalex.org/W4283703836","https://openalex.org/W4385570140","https://openalex.org/W4391766653","https://openalex.org/W6640300313","https://openalex.org/W6751800415","https://openalex.org/W6757575617","https://openalex.org/W6760846889","https://openalex.org/W6773005947","https://openalex.org/W6779302191","https://openalex.org/W6782914715","https://openalex.org/W6786301610","https://openalex.org/W6791935555","https://openalex.org/W6809756822","https://openalex.org/W6838825329","https://openalex.org/W6849074904","https://openalex.org/W6849930706","https://openalex.org/W6851515169","https://openalex.org/W6861755864"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W4387369504","https://openalex.org/W3046775127","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3107602296","https://openalex.org/W4364306694","https://openalex.org/W4312192474"],"abstract_inverted_index":{"Recent":[0],"research":[1],"highlights":[2],"the":[3,32,46,56,67,85,139,163,175],"advantages":[4],"of":[5,9,28,34,88,107,177,183],"leveraging":[6],"complementary":[7],"strengths":[8],"both":[10,29],"human":[11,52,70,99,129,185],"expert":[12,35,53,125,140],"and":[13,30,51,117,145],"model":[14,37,50],"in":[15,80],"decision-making":[16],"processes.":[17],"Learning":[18],"to":[19,23,54,84,123,137,141],"Defer(L2D)":[20],"is":[21,64,78,135],"proposed":[22,164],"build":[24],"a":[25,105,111,119],"system":[26,58],"consisting":[27],"improve":[31,55],"performance":[33,176],"or":[36],"alone.":[38],"For":[39],"each":[40],"instance,":[41,76],"L2D":[42,96,179],"algorithms":[43,180],"search":[44],"for":[45,74,104,114,149],"optimal":[47],"decision-maker":[48],"between":[49],"human-ai":[57],"accuracy.":[59],"However,":[60],"most":[61],"previous":[62],"work":[63],"based":[65],"on":[66,154],"assumption":[68],"that":[69,162],"predictions":[71,100,148],"are":[72,101],"available":[73,102],"every":[75],"which":[77],"unrealistic":[79],"practical":[81],"scenarios":[82],"due":[83],"high":[86],"expense":[87],"manual":[89],"annotation.":[90],"To":[91],"address":[92],"this,":[93],"we":[94],"consider":[95],"problem":[97],"where":[98],"only":[103,167],"subset":[106],"image.":[108],"We":[109],"propose":[110],"multistep":[112],"framework":[113,165],"this":[115],"scenario":[116],"integrate":[118],"consistency":[120,132],"regularization":[121,133],"loss":[122,134],"learn":[124,142],"capability":[126],"from":[127,157],"limited":[128],"predictions.":[130,186],"The":[131],"designed":[136],"encourage":[138],"intrinsic":[143],"information":[144],"make":[146],"similar":[147,150],"instances.":[151],"Empirical":[152],"validation":[153],"real-world":[155],"data":[156],"airspace":[158],"opacity":[159],"diagnosis":[160],"shows":[161],"not":[166],"outperforms":[168],"several":[169],"competitive":[170],"baselines":[171],"but":[172],"also":[173],"enhances":[174],"various":[178],"under":[181],"constraints":[182],"minimal":[184]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}