{"id":"https://openalex.org/W4416637595","doi":"https://doi.org/10.1183/13993003.congress-2025.oa2357","title":"Optimizing Malignancy Prediction: A Comparative Analysis of Transfer Learning Techniques on EBUS Images","display_name":"Optimizing Malignancy Prediction: A Comparative Analysis of Transfer Learning Techniques on EBUS Images","publication_year":2025,"publication_date":"2025-09-27","ids":{"openalex":"https://openalex.org/W4416637595","doi":"https://doi.org/10.1183/13993003.congress-2025.oa2357"},"language":"en","primary_location":{"id":"doi:10.1183/13993003.congress-2025.oa2357","doi":"https://doi.org/10.1183/13993003.congress-2025.oa2357","is_oa":false,"landing_page_url":"https://doi.org/10.1183/13993003.congress-2025.oa2357","pdf_url":null,"source":{"id":"https://openalex.org/S4210207896","display_name":"European Respiratory Journal","issn_l":"0903-1936","issn":["0903-1936","1399-3003"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","dongbi-a","doyens","jufo-3","ki-jl-3","medline","norway-2","poland-200","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310317833","host_organization_name":"European Respiratory Society","host_organization_lineage":["https://openalex.org/P4310317833"],"host_organization_lineage_names":["European Respiratory Society"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lung cancer","raw_type":"proceedings-article"},"parent_works":[],"lineage":["https://openalex.org/W4416637595"],"child_works_count":0,"type":"conference-abstract","is_traditional":false,"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/A5114537346","display_name":"Ali Erdem \u00d6z\u00e7elik","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I161597582","display_name":"Recep Tayyip Erdo\u011fan University","ror":"https://ror.org/0468j1635","country_code":"TR","type":"education","lineage":["https://openalex.org/I161597582"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Ali Erdem \u00d6z\u00e7elik","raw_affiliation_strings":["1Recep Tayyip Erdogan University, Faculty of Engineering and Architecture, Department of Landscape Architecture, Rize, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"1Recep Tayyip Erdogan University, Faculty of Engineering and Architecture, Department of Landscape Architecture, Rize, Turkey","institution_ids":["https://openalex.org/I161597582"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087409343","display_name":"Neslihan \u00d6z\u00e7elik","orcid":"https://orcid.org/0000-0002-4672-6179","observed_orcids":["https://orcid.org/0000-0002-4672-6179"]},"institutions":[{"id":"https://openalex.org/I161597582","display_name":"Recep Tayyip Erdo\u011fan University","ror":"https://ror.org/0468j1635","country_code":"TR","type":"education","lineage":["https://openalex.org/I161597582"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Neslihan \u00d6z\u00e7elik","raw_affiliation_strings":["2Recep Tayyip Erdogan University, Medical Faculty, Department of Chest Diseases, Rize, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"2Recep Tayyip Erdogan University, Medical Faculty, Department of Chest Diseases, Rize, Turkey","institution_ids":["https://openalex.org/I161597582"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012741263","display_name":"Emre Bende\u015f","orcid":"https://orcid.org/0000-0002-9432-3278","observed_orcids":["https://orcid.org/0000-0002-9432-3278"]},"institutions":[{"id":"https://openalex.org/I1281109512","display_name":"Nev\u015fehir Hac\u0131 Bekta\u015f Veli University","ror":"https://ror.org/019jds967","country_code":"TR","type":"education","lineage":["https://openalex.org/I1281109512"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Emre Bende\u015f","raw_affiliation_strings":["3Nev\u015fehir Haci Bektas Veli University, Faculty of Engineering-Architecture, Department of Computer Engineering, Nev\u015fehir, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"3Nev\u015fehir Haci Bektas Veli University, Faculty of Engineering-Architecture, Department of Computer Engineering, Nev\u015fehir, Turkey","institution_ids":["https://openalex.org/I1281109512"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046945866","display_name":"Gizem \u00d6z\u00e7\u0131b\u0131k I\u015f\u0131k","orcid":"https://orcid.org/0000-0002-1448-2448","observed_orcids":["https://orcid.org/0000-0002-1448-2448"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gizem \u00d6z\u00e7\u0131b\u0131k I\u015f\u0131k","raw_affiliation_strings":["4Bolu Izzet Baysal State Hospital, Department of Thoracic Surgery, Bolu, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"4Bolu Izzet Baysal State Hospital, Department of Thoracic Surgery, Bolu, Turkey","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024567497","display_name":"\u00d6mer Topalo\u011flu","orcid":"https://orcid.org/0000-0001-5652-6018","observed_orcids":["https://orcid.org/0000-0001-5652-6018"]},"institutions":[{"id":"https://openalex.org/I161597582","display_name":"Recep Tayyip Erdo\u011fan University","ror":"https://ror.org/0468j1635","country_code":"TR","type":"education","lineage":["https://openalex.org/I161597582"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"\u00d6mer Topalo\u011flu","raw_affiliation_strings":["5Recep Tayyip Erdogan University, Medical Faculty, Department of Thoracic Surgery, Rize, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"5Recep Tayyip Erdogan University, Medical Faculty, Department of Thoracic Surgery, Rize, Turkey","institution_ids":["https://openalex.org/I161597582"]}]}],"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":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"OA2357","last_page":"OA2357"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9907000064849854,"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/T10862","display_name":"AI in cancer detection","score":0.9907000064849854,"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/T10202","display_name":"Lung Cancer Diagnosis and Treatment","score":0.004999999888241291,"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":0.003700000001117587,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/endobronchial-ultrasound","display_name":"endobronchial ultrasound","score":0.9610000252723694},{"id":"https://openalex.org/keywords/mediastinal-lymph-node-metastasis","display_name":"mediastinal lymph node metastasis","score":0.9190000295639038},{"id":"https://openalex.org/keywords/non-small-cell-lung-cancer","display_name":"non-small cell lung cancer","score":0.8600000143051147},{"id":"https://openalex.org/keywords/malignancy-risk-prediction","display_name":"malignancy prediction","score":0.8960000276565552},{"id":"https://openalex.org/keywords/transfer-learning","display_name":"transfer learning","score":0.9850000143051147},{"id":"https://openalex.org/keywords/deep-learning","display_name":"deep learning","score":0.38199999928474426},{"id":"https://openalex.org/keywords/vgg19","display_name":"VGG19","score":0.8180000185966492},{"id":"https://openalex.org/keywords/densenet-201","display_name":"DenseNet201","score":1.0},{"id":"https://openalex.org/keywords/image-data-augmentation","display_name":"image augmentation","score":0.6610000133514404},{"id":"https://openalex.org/keywords/tnm-staging","display_name":"TNM staging","score":0.6890000104904175},{"id":"https://openalex.org/keywords/benign-versus-malignant-lymph-node-differentiation","display_name":"benign versus malignant lymph nodes","score":0.6370000243186951}],"concepts":[{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.8881000280380249},{"id":"https://openalex.org/C2779399171","wikidata":"https://www.wikidata.org/wiki/Q1483951","display_name":"Malignancy","level":2,"score":0.777899980545044},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.6298999786376953},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.586899995803833},{"id":"https://openalex.org/C2780849966","wikidata":"https://www.wikidata.org/wiki/Q170758","display_name":"Lymph node","level":2,"score":0.5595999956130981},{"id":"https://openalex.org/C2780379385","wikidata":"https://www.wikidata.org/wiki/Q1916209","display_name":"Mediastinal lymph node","level":4,"score":0.5583000183105469},{"id":"https://openalex.org/C3020132585","wikidata":"https://www.wikidata.org/wiki/Q2671652","display_name":"Diagnostic accuracy","level":2,"score":0.44530001282691956},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3628999888896942},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3479999899864197},{"id":"https://openalex.org/C2777714996","wikidata":"https://www.wikidata.org/wiki/Q7886","display_name":"Lung","level":2,"score":0.31360000371932983},{"id":"https://openalex.org/C2776313322","wikidata":"https://www.wikidata.org/wiki/Q6806164","display_name":"Mediastinal lymphadenopathy","level":3,"score":0.2874999940395355},{"id":"https://openalex.org/C2776256026","wikidata":"https://www.wikidata.org/wiki/Q47912","display_name":"Lung cancer","level":2,"score":0.2750999927520752},{"id":"https://openalex.org/C19527891","wikidata":"https://www.wikidata.org/wiki/Q1120908","display_name":"Medical physics","level":1,"score":0.27410000562667847},{"id":"https://openalex.org/C3020762335","wikidata":"https://www.wikidata.org/wiki/Q162564","display_name":"Endobronchial ultrasound","level":3,"score":0.26919999718666077}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1183/13993003.congress-2025.oa2357","doi":"https://doi.org/10.1183/13993003.congress-2025.oa2357","is_oa":false,"landing_page_url":"https://doi.org/10.1183/13993003.congress-2025.oa2357","pdf_url":null,"source":{"id":"https://openalex.org/S4210207896","display_name":"European Respiratory Journal","issn_l":"0903-1936","issn":["0903-1936","1399-3003"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","dongbi-a","doyens","jufo-3","ki-jl-3","medline","norway-2","poland-200","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310317833","host_organization_name":"European Respiratory Society","host_organization_lineage":["https://openalex.org/P4310317833"],"host_organization_lineage_names":["European Respiratory Society"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lung cancer","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.9763000011444092,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4388017150","https://openalex.org/W4205113769","https://openalex.org/W4406103799","https://openalex.org/W4284884045","https://openalex.org/W4408161944","https://openalex.org/W7112541946","https://openalex.org/W4396620559","https://openalex.org/W4296252982","https://openalex.org/W4402554880","https://openalex.org/W7167814298"],"abstract_inverted_index":{"Introduction:":[0],"TNM":[1],"staging":[2],"is":[3,12],"pivotal":[4],"in":[5,26,77,221],"managing":[6],"non-small":[7],"cell":[8],"lung":[9],"carcinoma.":[10],"EBUS":[11,37,51,57,209],"used":[13],"to":[14,42,114,189,217],"detect":[15],"mediastinal":[16],"lymph":[17,93],"node":[18,94],"malignancies.":[19],"The":[20,79,127],"recent":[21],"integration":[22],"of":[23,36,46,146,160,172,178,183,186,214],"machine":[24],"learning":[25,48,103],"medicine":[27],"has":[28],"significantly":[29],"enhanced":[30],"the":[31,44,64,116,137,143,212],"diagnostic":[32,219],"accuracy":[33,157,185,220],"and":[34,71,87,96,111,123,134,149,155,166,175,202],"efficiency":[35],"imaging.":[38],"This":[39],"study":[40,128],"aimed":[41],"evaluate":[43],"performance":[45,170],"transfer":[47],"models":[49],"for":[50],"images.":[52],"Methods:":[53],"Images":[54],"from":[55,193,208],"310":[56],"procedures":[58],"collected":[59],"between":[60],"2020-2023.":[61],"To":[62],"augment":[63],"dataset,":[65],"each":[66],"image":[67],"underwent":[68],"36":[69],"rotations":[70],"10":[72],"warps,":[73],"yielding":[74],"14,570":[75],"images":[76],"total.":[78],"dataset":[80],"was":[81],"randomly":[82],"split":[83],"into":[84],"80%":[85],"training":[86,154],"20%":[88],"testing":[89,156],"subsets.":[90],"Demographic":[91],"data,":[92],"samples,":[95],"pathology":[97],"results":[98],"were":[99],"recorded.":[100],"Various":[101],"deep":[102],"models\u2014VGG,":[104],"ResNet,":[105],"InceptionNet,":[106],"Xception,":[107,165],"MobileNet,":[108],"DenseNet,":[109],"NasNet,":[110],"EfficientNet\u2014were":[112],"evaluated":[113],"determine":[115],"best-performing":[117],"model":[118],"based":[119],"on":[120],"superiority,":[121],"success,":[122],"confidence":[124],"rates.":[125],"Results:":[126],"included":[129],"62":[130],"patients.":[131],"VGG19,":[132,200],"EfficientNetV2L,":[133,201],"DenseNet201":[135],"achieved":[136],"highest":[138],"performance,":[139],"with":[140],"areas":[141],"under":[142],"curve":[144],"(AUC)":[145],"0.96,":[147,148],"0.95,":[150],"respectively,":[151],"demonstrating":[152],"consistent":[153],"without":[158],"signs":[159],"overfitting.":[161],"In":[162],"contrast,":[163],"ResNet152V2,":[164],"RasNet":[167],"showed":[168],"lower":[169],"(AUCs":[171],"0.88,":[173],"0.85,":[174],"0.84)":[176],"indicative":[177],"overfitting,":[179],"while":[180],"MobileNetV2":[181],"(AUC":[182],"0.50,":[184],"0.51)":[187],"failed":[188],"effectively":[190],"distinguish":[191],"benign":[192],"malignant":[194],"cases.":[195],"Conclusions:":[196],"Transfer":[197],"learning\u2014specifically":[198],"utilizing":[199],"DenseNet201\u2014enabled":[203],"highly":[204],"accurate":[205],"malignancy":[206],"prediction":[207],"images,":[210],"highlighting":[211],"potential":[213],"these":[215],"methods":[216],"improve":[218],"thoracic":[222],"oncology.":[223]},"counts_by_year":[],"updated_date":"2026-11-01T11:40:01.658920","created_date":"2025-11-25T00:00:00"}