{"id":"https://openalex.org/W4410296151","doi":"https://doi.org/10.1109/isbi60581.2025.10980792","title":"Deep Neural Network for Lung Adenocarcinoma Subtype from Multimodal Fusion of Imaging and Clinical Data","display_name":"Deep Neural Network for Lung Adenocarcinoma Subtype from Multimodal Fusion of Imaging and Clinical Data","publication_year":2025,"publication_date":"2025-04-14","ids":{"openalex":"https://openalex.org/W4410296151","doi":"https://doi.org/10.1109/isbi60581.2025.10980792"},"language":"en","primary_location":{"id":"doi:10.1109/isbi60581.2025.10980792","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi60581.2025.10980792","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 22nd International Symposium on Biomedical Imaging (ISBI)","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/A5101561874","display_name":"Chenchen Fan","orcid":"https://orcid.org/0000-0001-5511-8602"},"institutions":[{"id":"https://openalex.org/I90727586","display_name":"Zhejiang University of Finance and Economics","ror":"https://ror.org/055vj5234","country_code":"CN","type":"education","lineage":["https://openalex.org/I90727586"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenchen Fan","raw_affiliation_strings":["Zhejiang University of Finance and Economics,Hangzhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang University of Finance and Economics,Hangzhou,China","institution_ids":["https://openalex.org/I90727586"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100697075","display_name":"Liya Liu","orcid":"https://orcid.org/0000-0003-0405-6637"},"institutions":[{"id":"https://openalex.org/I188935350","display_name":"Anhui University of Finance and Economics","ror":"https://ror.org/0152zzg30","country_code":"CN","type":"education","lineage":["https://openalex.org/I188935350"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liya Liu","raw_affiliation_strings":["Anhui University of Finance and Economics,Anhui,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Anhui University of Finance and Economics,Anhui,China","institution_ids":["https://openalex.org/I188935350"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101664515","display_name":"Yuxuan Wang","orcid":"https://orcid.org/0009-0005-3508-3736"},"institutions":[{"id":"https://openalex.org/I90727586","display_name":"Zhejiang University of Finance and Economics","ror":"https://ror.org/055vj5234","country_code":"CN","type":"education","lineage":["https://openalex.org/I90727586"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuxuan Wang","raw_affiliation_strings":["Zhejiang University of Finance and Economics,Hangzhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang University of Finance and Economics,Hangzhou,China","institution_ids":["https://openalex.org/I90727586"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002509297","display_name":"Li D","orcid":"https://orcid.org/0000-0002-4990-724X"},"institutions":[{"id":"https://openalex.org/I90727586","display_name":"Zhejiang University of Finance and Economics","ror":"https://ror.org/055vj5234","country_code":"CN","type":"education","lineage":["https://openalex.org/I90727586"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Danna Li","raw_affiliation_strings":["Zhejiang University of Finance and Economics,Hangzhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang University of Finance and Economics,Hangzhou,China","institution_ids":["https://openalex.org/I90727586"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016145922","display_name":"Qinghua Liang","orcid":"https://orcid.org/0000-0002-1550-758X"},"institutions":[{"id":"https://openalex.org/I90727586","display_name":"Zhejiang University of Finance and Economics","ror":"https://ror.org/055vj5234","country_code":"CN","type":"education","lineage":["https://openalex.org/I90727586"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qinghua Liang","raw_affiliation_strings":["Zhejiang University of Finance and Economics,Hangzhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang University of Finance and Economics,Hangzhou,China","institution_ids":["https://openalex.org/I90727586"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042305251","display_name":"Ahmed Elazab","orcid":"https://orcid.org/0000-0002-6110-7886"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ahmed Elazab","raw_affiliation_strings":["Shenzhen University,Shenzhen,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen University,Shenzhen,China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100712549","display_name":"Zhou Liu","orcid":"https://orcid.org/0000-0002-4651-1370"},"institutions":[{"id":"https://openalex.org/I200296433","display_name":"Chinese Academy of Medical Sciences & Peking Union Medical College","ror":"https://ror.org/02drdmm93","country_code":"CN","type":"education","lineage":["https://openalex.org/I200296433"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhou Liu","raw_affiliation_strings":["Chinese Academy of Medical Sciences and Peking Union Medical College, Cancer Hospital & Shenzhen Hospital,National Cancer Center, National Clinical Research Center for Cancer,Shenzhen,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of Medical Sciences and Peking Union Medical College, Cancer Hospital & Shenzhen Hospital,National Cancer Center, National Clinical Research Center for Cancer,Shenzhen,China","institution_ids":["https://openalex.org/I200296433"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034464290","display_name":"Jiahang Hu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210093324","display_name":"Mudanjiang Medical University","ror":"https://ror.org/00mc5wj35","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210093324"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiahang Hu","raw_affiliation_strings":["Hongqi Hospital Affiliated to Mudanjiang Medical University,Mudangjiang,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hongqi Hospital Affiliated to Mudanjiang Medical University,Mudangjiang,China","institution_ids":["https://openalex.org/I4210093324"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058182952","display_name":"Yuan Tian","orcid":"https://orcid.org/0000-0002-3049-0501"},"institutions":[{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuan Tian","raw_affiliation_strings":["School of Medicine, The Chinese University of Hong Kong,The Second Affiliated Hospital,Shenzhen,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Medicine, The Chinese University of Hong Kong,The Second Affiliated Hospital,Shenzhen,China","institution_ids":["https://openalex.org/I4210116924"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101473473","display_name":"Yongquan Zhang","orcid":"https://orcid.org/0000-0003-3366-9395"},"institutions":[{"id":"https://openalex.org/I90727586","display_name":"Zhejiang University of Finance and Economics","ror":"https://ror.org/055vj5234","country_code":"CN","type":"education","lineage":["https://openalex.org/I90727586"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongquan Zhang","raw_affiliation_strings":["Zhejiang University of Finance and Economics,Hangzhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang University of Finance and Economics,Hangzhou,China","institution_ids":["https://openalex.org/I90727586"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063406130","display_name":"Changmiao Wang","orcid":"https://orcid.org/0000-0003-2466-5990"},"institutions":[{"id":"https://openalex.org/I4210099586","display_name":"Shenzhen Research Institute of Big Data","ror":"https://ror.org/00z1gwf89","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210099586"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Changmiao Wang","raw_affiliation_strings":["Shenzhen Research Institute of Big Data,Shenzhen,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen Research Institute of Big Data,Shenzhen,China","institution_ids":["https://openalex.org/I4210099586"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"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":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.978600025177002,"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"}},"topics":[{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.978600025177002,"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/computer-science","display_name":"Computer science","score":0.5915112495422363},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5473020076751709},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5416574478149414},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.4619043469429016},{"id":"https://openalex.org/keywords/adenocarcinoma","display_name":"Adenocarcinoma","score":0.4245739281177521},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.2237180769443512},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.11856535077095032},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.11011561751365662}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5915112495422363},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5473020076751709},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5416574478149414},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.4619043469429016},{"id":"https://openalex.org/C2781182431","wikidata":"https://www.wikidata.org/wiki/Q356033","display_name":"Adenocarcinoma","level":3,"score":0.4245739281177521},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.2237180769443512},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.11856535077095032},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.11011561751365662}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi60581.2025.10980792","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi60581.2025.10980792","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 22nd 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":13,"referenced_works":["https://openalex.org/W2194775991","https://openalex.org/W2556470218","https://openalex.org/W2806637238","https://openalex.org/W2963351448","https://openalex.org/W3176016422","https://openalex.org/W4296053328","https://openalex.org/W4383294922","https://openalex.org/W4385064056","https://openalex.org/W4387211275","https://openalex.org/W4400834315","https://openalex.org/W4401749609","https://openalex.org/W4401751320","https://openalex.org/W6791353385"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Accurate":[0],"identification":[1],"of":[2,163,169,194,202],"lung":[3],"adenocarcinoma":[4],"subtype":[5,20],"is":[6,150,217],"crucial":[7],"for":[8,111],"selecting":[9],"appropriate":[10],"treatment":[11],"plans.":[12],"However,":[13],"challenges":[14],"such":[15],"as":[16,137],"integrating":[17],"diverse":[18],"data,":[19,89],"similarities,":[21],"and":[22,48,59,106,177,184,196],"capturing":[23],"contextual":[24],"features":[25,125],"hinder":[26],"precise":[27],"differentiation.":[28],"To":[29,122,165],"address":[30],"these":[31],"challenges,":[32],"we":[33,129,172],"propose":[34],"a":[35,81,97,115,143,154,191],"deep":[36],"neural":[37],"network":[38],"model":[39,54,91,186,189],"that":[40,156],"integrates":[41],"CT":[42,60,65,74,105],"images,":[43],"annotated":[44],"lesion":[45,69],"bounding":[46,57],"boxes,":[47],"electronic":[49],"health":[50],"records.":[51],"Initially,":[52],"the":[53,90,160,167,200,205],"leverages":[55],"combining":[56],"boxes":[58],"scans":[61],"to":[62,87,139,153],"produce":[63],"enhanced":[64,73],"images":[66,75],"with":[67],"detailed":[68],"location":[70],"information.":[71],"These":[72],"then":[76,151],"undergo":[77],"feature":[78,133,148,182],"extraction":[79],"through":[80],"vision":[82],"transformer":[83],"module.":[84],"In":[85],"addition":[86],"imaging":[88],"incorporates":[92],"clinical":[93,107],"information,":[94],"encoded":[95],"using":[96,114],"fully":[98],"connected":[99],"encoder.":[100],"Features":[101],"extracted":[102],"from":[103,126],"both":[104],"data":[108],"are":[109],"optimized":[110],"cosine":[112],"similarity":[113],"CLIP":[116],"module,":[117,135],"ensuring":[118],"their":[119],"cohesive":[120],"integration.":[121],"further":[123],"blend":[124],"different":[127],"modalities,":[128],"devise":[130],"an":[131,197],"attention-based":[132],"fusion":[134],"known":[136],"DFF,":[138],"harmonize":[140],"them":[141],"into":[142],"unified":[144],"representation.":[145],"This":[146],"integrated":[147],"set":[149],"input":[152],"classifier":[155],"effectively":[157],"differentiates":[158],"among":[159],"three":[161],"types":[162],"adenocarcinomas.":[164],"alleviate":[166],"effect":[168],"unbalanced":[170],"classes,":[171],"incorporate":[173],"contrastive":[174],"learning":[175],"loss":[176],"focal":[178],"loss,":[179],"which":[180],"enhance":[181],"representation":[183],"improve":[185],"performance.":[187],"Our":[188],"achieves":[190],"superior":[192],"accuracy":[193],"81.42%":[195],"area":[198],"under":[199],"curve":[201],"0.9120":[203],"on":[204],"validation":[206],"set,":[207],"significantly":[208],"outperforming":[209],"other":[210],"recent":[211],"multimodal":[212],"classification":[213],"methods.":[214],"The":[215],"code":[216],"available":[218],"at":[219],"https://github.com/fancccc/LungCancerDC.":[220]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}