{"id":"https://openalex.org/W4402352973","doi":"https://doi.org/10.1109/ijcnn60899.2024.10651196","title":"Detection of High-Low Risk Lung Tumors Using Semi-Supervised and Selective Labeling Techniques","display_name":"Detection of High-Low Risk Lung Tumors Using Semi-Supervised and Selective Labeling Techniques","publication_year":2024,"publication_date":"2024-06-30","ids":{"openalex":"https://openalex.org/W4402352973","doi":"https://doi.org/10.1109/ijcnn60899.2024.10651196"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn60899.2024.10651196","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn60899.2024.10651196","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5108982277","display_name":"Jinping Lao","orcid":null},"institutions":[{"id":"https://openalex.org/I187400657","display_name":"South China Normal University","ror":"https://ror.org/01kq0pv72","country_code":"CN","type":"education","lineage":["https://openalex.org/I187400657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinping Lao","raw_affiliation_strings":["South China Normal University,Key Lab on Cloud Security and Assessment Technology of Guangzhou, and SCNU, VeChina Joint Lab on BlockChain Technology and Application,Guangzhou,China,510631"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"South China Normal University,Key Lab on Cloud Security and Assessment Technology of Guangzhou, and SCNU, VeChina Joint Lab on BlockChain Technology and Application,Guangzhou,China,510631","institution_ids":["https://openalex.org/I187400657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002984697","display_name":"Hongwei Lin","orcid":"https://orcid.org/0000-0001-9080-0615"},"institutions":[{"id":"https://openalex.org/I176834541","display_name":"Guangdong Medical College","ror":"https://ror.org/04k5rxe29","country_code":"CN","type":"education","lineage":["https://openalex.org/I176834541"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongwei Lin","raw_affiliation_strings":["Guangdong Medical University,The First School of Clinical Medicine,Zhanjiang,China,524023"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangdong Medical University,The First School of Clinical Medicine,Zhanjiang,China,524023","institution_ids":["https://openalex.org/I176834541"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016101422","display_name":"Haiyu Zhou","orcid":"https://orcid.org/0000-0002-3328-6792"},"institutions":[{"id":"https://openalex.org/I176834541","display_name":"Guangdong Medical College","ror":"https://ror.org/04k5rxe29","country_code":"CN","type":"education","lineage":["https://openalex.org/I176834541"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haiyu Zhou","raw_affiliation_strings":["Guangdong Medical University,The First School of Clinical Medicine,Zhanjiang,China,524023"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangdong Medical University,The First School of Clinical Medicine,Zhanjiang,China,524023","institution_ids":["https://openalex.org/I176834541"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040190558","display_name":"Chengchuang Lin","orcid":"https://orcid.org/0000-0002-3514-2071"},"institutions":[{"id":"https://openalex.org/I187400657","display_name":"South China Normal University","ror":"https://ror.org/01kq0pv72","country_code":"CN","type":"education","lineage":["https://openalex.org/I187400657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengchuang Lin","raw_affiliation_strings":["South China Normal University,Key Lab on Cloud Security and Assessment Technology of Guangzhou, and SCNU, VeChina Joint Lab on BlockChain Technology and Application,Guangzhou,China,510631"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"South China Normal University,Key Lab on Cloud Security and Assessment Technology of Guangzhou, and SCNU, VeChina Joint Lab on BlockChain Technology and Application,Guangzhou,China,510631","institution_ids":["https://openalex.org/I187400657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085007163","display_name":"Zhaoliang Zheng","orcid":null},"institutions":[{"id":"https://openalex.org/I187400657","display_name":"South China Normal University","ror":"https://ror.org/01kq0pv72","country_code":"CN","type":"education","lineage":["https://openalex.org/I187400657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhaoliang Zheng","raw_affiliation_strings":["South China Normal University,Key Lab on Cloud Security and Assessment Technology of Guangzhou, and SCNU, VeChina Joint Lab on BlockChain Technology and Application,Guangzhou,China,510631"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"South China Normal University,Key Lab on Cloud Security and Assessment Technology of Guangzhou, and SCNU, VeChina Joint Lab on BlockChain Technology and Application,Guangzhou,China,510631","institution_ids":["https://openalex.org/I187400657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101818721","display_name":"Gansen Zhao","orcid":"https://orcid.org/0009-0007-1526-5326"},"institutions":[{"id":"https://openalex.org/I187400657","display_name":"South China Normal University","ror":"https://ror.org/01kq0pv72","country_code":"CN","type":"education","lineage":["https://openalex.org/I187400657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gansen Zhao","raw_affiliation_strings":["South China Normal University,Key Lab on Cloud Security and Assessment Technology of Guangzhou, and SCNU, VeChina Joint Lab on BlockChain Technology and Application,Guangzhou,China,510631"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"South China Normal University,Key Lab on Cloud Security and Assessment Technology of Guangzhou, and SCNU, VeChina Joint Lab on BlockChain Technology and Application,Guangzhou,China,510631","institution_ids":["https://openalex.org/I187400657"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018683991","display_name":"Hua Tang","orcid":"https://orcid.org/0000-0002-9439-2687"},"institutions":[{"id":"https://openalex.org/I187400657","display_name":"South China Normal University","ror":"https://ror.org/01kq0pv72","country_code":"CN","type":"education","lineage":["https://openalex.org/I187400657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hua Tang","raw_affiliation_strings":["South China Normal University,Key Lab on Cloud Security and Assessment Technology of Guangzhou, and SCNU, VeChina Joint Lab on BlockChain Technology and Application,Guangzhou,China,510631"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"South China Normal University,Key Lab on Cloud Security and Assessment Technology of Guangzhou, and SCNU, VeChina Joint Lab on BlockChain Technology and Application,Guangzhou,China,510631","institution_ids":["https://openalex.org/I187400657"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10202","display_name":"Lung Cancer Diagnosis and Treatment","score":0.9951000213623047,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10202","display_name":"Lung Cancer Diagnosis and Treatment","score":0.9951000213623047,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9930999875068665,"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/T10619","display_name":"Esophageal Cancer Research and Treatment","score":0.9835000038146973,"subfield":{"id":"https://openalex.org/subfields/2746","display_name":"Surgery"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6473981738090515},{"id":"https://openalex.org/keywords/lung","display_name":"Lung","score":0.4748050272464752},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45525726675987244},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.22843724489212036},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.15182945132255554}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6473981738090515},{"id":"https://openalex.org/C2777714996","wikidata":"https://www.wikidata.org/wiki/Q7886","display_name":"Lung","level":2,"score":0.4748050272464752},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45525726675987244},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.22843724489212036},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.15182945132255554}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn60899.2024.10651196","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn60899.2024.10651196","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.41999998688697815,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335869","display_name":"National Social Science Fund of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W2194775991","https://openalex.org/W2957352479","https://openalex.org/W2962858109","https://openalex.org/W2982728757","https://openalex.org/W3001197829","https://openalex.org/W3035682985","https://openalex.org/W3128646645","https://openalex.org/W3138516171","https://openalex.org/W3159481202","https://openalex.org/W3164581645","https://openalex.org/W3198343608","https://openalex.org/W3201956036","https://openalex.org/W3204971388","https://openalex.org/W3205500251","https://openalex.org/W4221162144","https://openalex.org/W4287322212","https://openalex.org/W4295312788","https://openalex.org/W4296232908","https://openalex.org/W4296693015","https://openalex.org/W4307834428","https://openalex.org/W4310073761","https://openalex.org/W4312436424","https://openalex.org/W4312443924","https://openalex.org/W4312729595","https://openalex.org/W4313166273","https://openalex.org/W4323565477","https://openalex.org/W4353055921","https://openalex.org/W4386071709","https://openalex.org/W4386076293","https://openalex.org/W6766978945","https://openalex.org/W6773005947","https://openalex.org/W6784333009","https://openalex.org/W6788135285","https://openalex.org/W6793164127","https://openalex.org/W6802864417","https://openalex.org/W6839041728","https://openalex.org/W6849385481"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W2382290278","https://openalex.org/W4395014643"],"abstract_inverted_index":{"The":[0],"accurate":[1],"identification":[2],"of":[3,38,42,65,88,164,172,184,198],"low-risk":[4],"and":[5,72],"high-risk":[6],"lung":[7,15,58,176,199],"tumors":[8,59],"is":[9,54,92,123,135,178],"essential":[10],"for":[11,56,119,130,152,195],"clinicians":[12],"to":[13,99,126,149,180,203],"develop":[14],"cancer":[16],"treatment":[17],"strategies":[18],"during":[19],"surgery.":[20],"Despite":[21],"the":[22,36,63,77,86,89,100,116,141,157,170,182,185,196],"achievements":[23],"in":[24,175,193],"deep":[25,50],"learning,":[26],"most":[27],"medical":[28],"image":[29],"analysis":[30],"applications":[31],"are":[32,112],"still":[33],"hampered":[34],"by":[35,94,115],"difficulty":[37],"obtaining":[39],"large":[40],"amounts":[41],"labeled":[43,138],"data.":[44],"In":[45],"this":[46,105],"paper,":[47],"a":[48,81,127],"semi-supervised":[49,73],"learning":[51],"framework,":[52],"DS-FixMatch,":[53],"proposed":[55],"identifying":[57],"intra-operatively":[60],"while":[61],"alleviating":[62],"issue":[64],"sparse":[66],"annotations.":[67],"DS-FixMatch":[68,145,191],"combines":[69],"selective":[70],"labeling":[71,103],"training:":[74],"(1)":[75],"For":[76,140],"acquired":[78],"unlabeled":[79,143],"images,":[80,167],"subset":[82,122],"that":[83,111,190],"best":[84],"represents":[85],"distribution":[87],"entire":[90],"dataset":[91,162],"selected":[93],"an":[95],"unsupervised":[96],"algorithm.":[97],"Compared":[98],"traditional":[101],"random":[102],"strategy,":[104],"method":[106],"can":[107],"avoid":[108],"introducing":[109],"samples":[110],"highly":[113],"influenced":[114],"intraoperative":[117],"environment":[118],"labeling.":[120,131],"This":[121],"then":[124],"sent":[125],"human":[128],"expert":[129],"(2)":[132],"Supervised":[133],"training":[134],"performed":[136],"using":[137],"images.":[139],"remaining":[142],"samples,":[144],"utilizes":[146],"model":[147],"predictions":[148],"generate":[150],"pseudo-labels":[151],"consistency":[153],"regularization,":[154],"further":[155],"enhancing":[156],"model\u2019s":[158],"generalization":[159],"ability.":[160],"A":[161],"consisting":[163],"2221":[165],"natural":[166],"each":[168],"capturing":[169],"Region":[171],"Interest":[173],"(ROI)":[174],"tumors,":[177],"constructed":[179],"evaluate":[181],"effectiveness":[183],"designed":[186],"framework.":[187],"Experiments":[188],"show":[189],"leads":[192],"performance":[194],"task":[197],"tumor":[200],"recognition":[201],"compared":[202],"other":[204],"baselines.":[205]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
