{"id":"https://openalex.org/W7161778237","doi":"https://doi.org/10.1109/isbi61048.2026.11515949","title":"Scale-Aware Curriculum Learning for Data-Efficient Lung Nodule Detection with YOLOV11","display_name":"Scale-Aware Curriculum Learning for Data-Efficient Lung Nodule Detection with YOLOV11","publication_year":2026,"publication_date":"2026-04-08","ids":{"openalex":"https://openalex.org/W7161778237","doi":"https://doi.org/10.1109/isbi61048.2026.11515949"},"language":null,"primary_location":{"id":"doi:10.1109/isbi61048.2026.11515949","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi61048.2026.11515949","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE 23rd 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/A5101366933","display_name":"Yi Luo","orcid":"https://orcid.org/0009-0007-6817-9173"},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yi Luo","raw_affiliation_strings":["Johns Hopkins University,Department of Biomedical Engineering"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Johns Hopkins University,Department of Biomedical Engineering","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5121590608","display_name":"Yike Guo","orcid":null},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yike Guo","raw_affiliation_strings":["Johns Hopkins University,Department of Biomedical Engineering"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Johns Hopkins University,Department of Biomedical Engineering","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085959226","display_name":"Hamed Hooshangnejad","orcid":"https://orcid.org/0000-0002-1953-0568"},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]},{"id":"https://openalex.org/I2799853436","display_name":"Johns Hopkins Medicine","ror":"https://ror.org/037zgn354","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I2799853436"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hamed Hooshangnejad","raw_affiliation_strings":["Johns Hopkins University,Department of Radiation Oncology and Molecular Radiation Sciences"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Johns Hopkins University,Department of Radiation Oncology and Molecular Radiation Sciences","institution_ids":["https://openalex.org/I2799853436","https://openalex.org/I145311948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136545714","display_name":"Zongwei Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zongwei Zhou","raw_affiliation_strings":["Johns Hopkins University,Department of Computer Science"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Johns Hopkins University,Department of Computer Science","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5136576478","display_name":"Kai Ding","orcid":null},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]},{"id":"https://openalex.org/I2799853436","display_name":"Johns Hopkins Medicine","ror":"https://ror.org/037zgn354","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I2799853436"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kai Ding","raw_affiliation_strings":["Johns Hopkins University,Department of Radiation Oncology and Molecular Radiation Sciences"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Johns Hopkins University,Department of Radiation Oncology and Molecular Radiation Sciences","institution_ids":["https://openalex.org/I2799853436","https://openalex.org/I145311948"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101366933"],"corresponding_institution_ids":["https://openalex.org/I145311948"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.92422786,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10202","display_name":"Lung Cancer Diagnosis and Treatment","score":0.5465999841690063,"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":0.5465999841690063,"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.24779999256134033,"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/T10862","display_name":"AI in cancer detection","score":0.048900000751018524,"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/nodule","display_name":"Nodule (geology)","score":0.503600001335144},{"id":"https://openalex.org/keywords/lung","display_name":"Lung","score":0.47369998693466187},{"id":"https://openalex.org/keywords/clinical-practice","display_name":"Clinical Practice","score":0.29010000824928284},{"id":"https://openalex.org/keywords/curriculum","display_name":"Curriculum","score":0.27059999108314514},{"id":"https://openalex.org/keywords/lung-disease","display_name":"Lung disease","score":0.2678000032901764}],"concepts":[{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.7049999833106995},{"id":"https://openalex.org/C2776731575","wikidata":"https://www.wikidata.org/wiki/Q2916245","display_name":"Nodule (geology)","level":2,"score":0.503600001335144},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.5022000074386597},{"id":"https://openalex.org/C2777714996","wikidata":"https://www.wikidata.org/wiki/Q7886","display_name":"Lung","level":2,"score":0.47369998693466187},{"id":"https://openalex.org/C19527891","wikidata":"https://www.wikidata.org/wiki/Q1120908","display_name":"Medical physics","level":1,"score":0.40689998865127563},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.310699999332428},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3050000071525574},{"id":"https://openalex.org/C2779974597","wikidata":"https://www.wikidata.org/wiki/Q28448986","display_name":"Clinical Practice","level":2,"score":0.29010000824928284},{"id":"https://openalex.org/C47177190","wikidata":"https://www.wikidata.org/wiki/Q207137","display_name":"Curriculum","level":2,"score":0.27059999108314514},{"id":"https://openalex.org/C2983914783","wikidata":"https://www.wikidata.org/wiki/Q3286546","display_name":"Lung disease","level":3,"score":0.2678000032901764},{"id":"https://openalex.org/C2778321237","wikidata":"https://www.wikidata.org/wiki/Q17125886","display_name":"National Lung Screening Trial","level":4,"score":0.2567000091075897},{"id":"https://openalex.org/C2779473830","wikidata":"https://www.wikidata.org/wiki/Q1540899","display_name":"MEDLINE","level":2,"score":0.25600001215934753}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi61048.2026.11515949","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi61048.2026.11515949","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE 23rd International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W2102634410","https://openalex.org/W2296073425","https://openalex.org/W2560322684","https://openalex.org/W2584017349","https://openalex.org/W3007997946","https://openalex.org/W3109319544","https://openalex.org/W3209504874","https://openalex.org/W4213440171","https://openalex.org/W4283825894","https://openalex.org/W4297903471","https://openalex.org/W4315754639","https://openalex.org/W4318141642","https://openalex.org/W4385064056","https://openalex.org/W4388761131","https://openalex.org/W4400266963","https://openalex.org/W4402437591","https://openalex.org/W4409014921","https://openalex.org/W4412373266"],"related_works":[],"abstract_inverted_index":{"Lung":[0],"nodule":[1,173],"detection":[2,174],"in":[3,22,35,44,114],"chest":[4],"CT":[5],"is":[6],"crucial":[7],"for":[8,166],"early":[9],"lung":[10,172],"cancer":[11],"diagnosis,":[12],"yet":[13],"existing":[14],"deep":[15],"learning":[16,31,109],"approaches":[17],"face":[18],"challenges":[19],"when":[20],"deployed":[21],"clinical":[23],"settings":[24],"with":[25,125],"limited":[26,177],"annotated":[27],"data.":[28],"While":[29],"curriculum":[30,41,60,108],"has":[32],"shown":[33],"promise":[34],"improving":[36],"model":[37],"training,":[38],"traditional":[39],"static":[40,107],"strategies":[42],"fail":[43],"data-scarce":[45],"scenarios.":[46],"We":[47,84],"propose":[48],"Scale-Adaptive":[49],"Curriculum":[50],"Learning":[51],"(SACL),":[52],"a":[53,163],"novel":[54],"training":[55,147,153],"strategy":[56],"that":[57,100],"dynamically":[58],"adjusts":[59],"design":[61],"based":[62],"on":[63,87,110],"available":[64],"data":[65,148,156],"scale.":[66],"SACL":[67,86,102,161],"introduces":[68],"three":[69],"key":[70],"mechanisms:":[71],"(1)":[72],"adaptive":[73],"epoch":[74],"scheduling,":[75],"(2)":[76],"hard":[77],"sample":[78],"injection,":[79],"and":[80,132,144],"(3)":[81],"scale-aware":[82],"optimization.":[83],"evaluate":[85],"the":[88,94,111],"LUNA25":[89],"dataset":[90,113],"using":[91],"YOLOv11":[92],"as":[93],"base":[95],"detector.":[96],"Experimental":[97],"results":[98],"demonstrate":[99],"while":[101],"achieves":[103],"comparable":[104],"performance":[105],"to":[106,169],"full":[112],"<tex":[115,126,138],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[116,127,139],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$\\text{mAP}_{50}$</tex>,":[117],"it":[118],"shows":[119],"significant":[120],"advantages":[121],"under":[122],"data-limited":[123],"conditions":[124],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$4.6":[128],"\\%,":[129,141],"3.5":[130],"\\%$</tex>,":[131,143],"2.0%":[133],"improvements":[134],"over":[135],"baseline":[136],"at":[137],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$10":[140],"20":[142],"50%":[145],"of":[146],"respectively.":[149],"By":[150],"enabling":[151],"robust":[152],"across":[154],"varying":[155],"scales":[157],"without":[158],"architectural":[159],"modifications,":[160],"provides":[162],"practical":[164],"solution":[165],"healthcare":[167],"institutions":[168],"develop":[170],"effective":[171],"systems":[175],"despite":[176],"annotation":[178],"resources.":[179]},"counts_by_year":[],"updated_date":"2026-05-22T06:13:13.366637","created_date":"2026-05-21T00:00:00"}
