{"id":"https://openalex.org/W4389577033","doi":"https://doi.org/10.1109/embc40787.2023.10341181","title":"Automatic Lung Cancer Subtypes Classification on CT Images with Self-generated Multi-modality Hybrid Features","display_name":"Automatic Lung Cancer Subtypes Classification on CT Images with Self-generated Multi-modality Hybrid Features","publication_year":2023,"publication_date":"2023-07-24","ids":{"openalex":"https://openalex.org/W4389577033","doi":"https://doi.org/10.1109/embc40787.2023.10341181","pmid":"https://pubmed.ncbi.nlm.nih.gov/38083482"},"language":"en","primary_location":{"id":"doi:10.1109/embc40787.2023.10341181","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/embc40787.2023.10341181","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5109647507","display_name":"Gege Ma","orcid":"https://orcid.org/0000-0001-8391-9466"},"institutions":[{"id":"https://openalex.org/I4210123185","display_name":"Zhejiang Lab","ror":"https://ror.org/02m2h7991","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210123185"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Gege Ma","raw_affiliation_strings":["Zhejiang Lab,Hangzhou,China,311121"],"affiliations":[{"raw_affiliation_string":"Zhejiang Lab,Hangzhou,China,311121","institution_ids":["https://openalex.org/I4210123185"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yuan Jin","orcid":null},"institutions":[{"id":"https://openalex.org/I4210123185","display_name":"Zhejiang Lab","ror":"https://ror.org/02m2h7991","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210123185"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuan Jin","raw_affiliation_strings":["Zhejiang Lab,Hangzhou,China,311121"],"affiliations":[{"raw_affiliation_string":"Zhejiang Lab,Hangzhou,China,311121","institution_ids":["https://openalex.org/I4210123185"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Jianhu Pan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jianhu Pan","raw_affiliation_strings":["Universal Medical Imaging Diagnostic Center,Hangzhou,China,310000"],"affiliations":[{"raw_affiliation_string":"Universal Medical Imaging Diagnostic Center,Hangzhou,China,310000","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066553616","display_name":"Shaoting Zhang","orcid":"https://orcid.org/0000-0002-8719-448X"},"institutions":[{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]},{"id":"https://openalex.org/I4391012619","display_name":"Shanghai Artificial Intelligence Laboratory","ror":"https://ror.org/03wkvpx79","country_code":null,"type":"facility","lineage":["https://openalex.org/I4391012619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaoting Zhang","raw_affiliation_strings":["Shanghai Artificial Intelligence Laboratory,Shanghai,China,200120"],"affiliations":[{"raw_affiliation_string":"Shanghai Artificial Intelligence Laboratory,Shanghai,China,200120","institution_ids":["https://openalex.org/I4210100255","https://openalex.org/I4391012619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064437234","display_name":"Dimitris Metaxas","orcid":"https://orcid.org/0000-0001-7142-7640"},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dimitris N. Metaxas","raw_affiliation_strings":["Rutgers University,Department of Computer Science,Piscataway,NJ,USA,08854"],"affiliations":[{"raw_affiliation_string":"Rutgers University,Department of Computer Science,Piscataway,NJ,USA,08854","institution_ids":["https://openalex.org/I102322142"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031854562","display_name":"Wentao Zhu","orcid":"https://orcid.org/0000-0001-9290-1778"},"institutions":[{"id":"https://openalex.org/I4210123185","display_name":"Zhejiang Lab","ror":"https://ror.org/02m2h7991","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210123185"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wentao Zhu","raw_affiliation_strings":["Zhejiang Lab,Hangzhou,China,311121"],"affiliations":[{"raw_affiliation_string":"Zhejiang Lab,Hangzhou,China,311121","institution_ids":["https://openalex.org/I4210123185"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5109647507"],"corresponding_institution_ids":["https://openalex.org/I4210123185"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.37073136,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"27","issue":null,"first_page":"1","last_page":"6"},"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":0.9994000196456909,"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":0.9994000196456909,"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/T10202","display_name":"Lung Cancer Diagnosis and Treatment","score":0.9986000061035156,"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/T10862","display_name":"AI in cancer detection","score":0.9944999814033508,"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/lung-cancer","display_name":"Lung cancer","score":0.805191695690155},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.6422797441482544},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.6200724840164185},{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.6156927347183228},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.6086630821228027},{"id":"https://openalex.org/keywords/receiver-operating-characteristic","display_name":"Receiver operating characteristic","score":0.574122428894043},{"id":"https://openalex.org/keywords/gold-standard","display_name":"Gold standard (test)","score":0.5621305108070374},{"id":"https://openalex.org/keywords/pathological","display_name":"Pathological","score":0.5358205437660217},{"id":"https://openalex.org/keywords/computed-tomography","display_name":"Computed tomography","score":0.4150847792625427},{"id":"https://openalex.org/keywords/biopsy","display_name":"Biopsy","score":0.4132782816886902},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.34228596091270447},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2922908067703247},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.21173915266990662},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.10583487153053284}],"concepts":[{"id":"https://openalex.org/C2776256026","wikidata":"https://www.wikidata.org/wiki/Q47912","display_name":"Lung cancer","level":2,"score":0.805191695690155},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.6422797441482544},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.6200724840164185},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.6156927347183228},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.6086630821228027},{"id":"https://openalex.org/C58471807","wikidata":"https://www.wikidata.org/wiki/Q327120","display_name":"Receiver operating characteristic","level":2,"score":0.574122428894043},{"id":"https://openalex.org/C40993552","wikidata":"https://www.wikidata.org/wiki/Q514654","display_name":"Gold standard (test)","level":2,"score":0.5621305108070374},{"id":"https://openalex.org/C207886595","wikidata":"https://www.wikidata.org/wiki/Q1456138","display_name":"Pathological","level":2,"score":0.5358205437660217},{"id":"https://openalex.org/C544519230","wikidata":"https://www.wikidata.org/wiki/Q32566","display_name":"Computed tomography","level":2,"score":0.4150847792625427},{"id":"https://openalex.org/C2775934546","wikidata":"https://www.wikidata.org/wiki/Q179991","display_name":"Biopsy","level":2,"score":0.4132782816886902},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.34228596091270447},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2922908067703247},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.21173915266990662},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.10583487153053284}],"mesh":[{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008168","descriptor_name":"Lung","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":false},{"descriptor_ui":"D008168","descriptor_name":"Lung","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":false},{"descriptor_ui":"D008168","descriptor_name":"Lung","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":false},{"descriptor_ui":"D008168","descriptor_name":"Lung","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":false},{"descriptor_ui":"D008168","descriptor_name":"Lung","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":false},{"descriptor_ui":"D008175","descriptor_name":"Lung Neoplasms","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D008175","descriptor_name":"Lung Neoplasms","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D008175","descriptor_name":"Lung Neoplasms","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D008175","descriptor_name":"Lung Neoplasms","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D008175","descriptor_name":"Lung Neoplasms","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D008175","descriptor_name":"Lung Neoplasms","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":true},{"descriptor_ui":"D008175","descriptor_name":"Lung Neoplasms","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":true},{"descriptor_ui":"D008175","descriptor_name":"Lung Neoplasms","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":true},{"descriptor_ui":"D008175","descriptor_name":"Lung Neoplasms","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":true},{"descriptor_ui":"D008175","descriptor_name":"Lung Neoplasms","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":true},{"descriptor_ui":"D012372","descriptor_name":"ROC Curve","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012372","descriptor_name":"ROC Curve","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012372","descriptor_name":"ROC Curve","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012372","descriptor_name":"ROC Curve","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012372","descriptor_name":"ROC Curve","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013909","descriptor_name":"Thorax","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013909","descriptor_name":"Thorax","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013909","descriptor_name":"Thorax","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013909","descriptor_name":"Thorax","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013909","descriptor_name":"Thorax","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/embc40787.2023.10341181","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/embc40787.2023.10341181","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)","raw_type":"proceedings-article"},{"id":"pmid:38083482","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38083482","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8299999833106995,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320337504","display_name":"Research and Development","ror":"https://ror.org/027s68j25"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1532736374","https://openalex.org/W2127890285","https://openalex.org/W2134953630","https://openalex.org/W2138809303","https://openalex.org/W2156728903","https://openalex.org/W2194775991","https://openalex.org/W2314042742","https://openalex.org/W2784371446","https://openalex.org/W2785515282","https://openalex.org/W2883500730","https://openalex.org/W2897755679","https://openalex.org/W2904929616","https://openalex.org/W2918800333","https://openalex.org/W2963446712","https://openalex.org/W2983529249","https://openalex.org/W3011337925","https://openalex.org/W3094502228","https://openalex.org/W3111937690","https://openalex.org/W3119045898","https://openalex.org/W3128646645","https://openalex.org/W4212774754","https://openalex.org/W6784333009"],"related_works":["https://openalex.org/W4385649027","https://openalex.org/W2365243064","https://openalex.org/W2385859805","https://openalex.org/W2530972254","https://openalex.org/W4400094315","https://openalex.org/W832193342","https://openalex.org/W1987850981","https://openalex.org/W2970784617","https://openalex.org/W2050560466","https://openalex.org/W1560054494"],"abstract_inverted_index":{"Lung":[0],"cancer":[1,24,35,67,95,119,140,174,212,252],"is":[2,46,60,163],"a":[3,29,88,126,245],"malignant":[4],"tumor":[5],"with":[6],"rapid":[7],"progression":[8],"and":[9,17,43,51,82,114,155,186,199,232],"high":[10],"fatality":[11],"rate.":[12],"According":[13],"to":[14,38,108,131,165,217],"histological":[15],"morphology":[16],"cell":[18],"behaviours":[19],"of":[20,31,73,101,118,149],"cancerous":[21],"tissues,":[22],"lung":[23,139,173,211,251],"can":[25],"be":[26],"classified":[27],"into":[28,170],"variety":[30],"subtypes.":[32,120],"Since":[33],"different":[34],"subtype":[36],"corresponds":[37],"distinct":[39],"therapies,":[40],"the":[41,57,63,71,80,98,109,115,133,138,147,179,189,235,250],"early":[42,94],"accurate":[44,106,210],"diagnosis":[45],"critical":[47],"for":[48,66,247],"following":[49],"treatments":[50],"prognostic":[52],"managements.":[53],"In":[54,121],"clinical":[55],"practice,":[56],"pathological":[58,158],"examination":[59],"regarded":[61],"as":[62],"gold":[64],"standard":[65],"subtypes":[68,141,175,213,253],"diagnosis,":[69],"while":[70],"disadvantage":[72],"invasiveness":[74],"limits":[75],"its":[76],"extensive":[77],"use,":[78],"leading":[79],"non-invasive":[81],"fast-imaging":[83],"computed":[84],"tomography":[85],"(CT)":[86],"test":[87,103],"more":[89,209],"commonly":[90],"used":[91],"modality":[92],"in":[93,135,228],"diagnosis.":[96],"However,":[97],"diagnostic":[99,176,190,214],"results":[100,193],"CT":[102,143,153,171,255],"are":[104],"less":[105],"due":[107],"relatively":[110],"low":[111],"image":[112],"resolution":[113],"atypical":[116],"manifestations":[117],"this":[122],"work,":[123],"we":[124],"propose":[125],"novel":[127],"automatic":[128],"classification":[129,222],"model":[130,162,207],"offer":[132],"assistance":[134],"accurately":[136],"diagnosing":[137],"on":[142,194,254],"images.":[144,256],"Inspired":[145],"by":[146,177,224],"findings":[148],"cross-modality":[150],"associations":[151],"between":[152],"images":[154],"their":[156],"corresponding":[157],"images,":[159],"our":[160,205],"proposed":[161,206],"developed":[164],"incorporate":[166],"general":[167],"histopathological":[168],"information":[169],"imagery-based":[172],"omitting":[178],"invasive":[180],"tissue":[181],"sample":[182],"collection":[183],"or":[184],"biopsy,":[185],"thereby":[187],"augmenting":[188],"accuracy.":[191],"Experimental":[192],"both":[195,229],"internal":[196],"evaluation":[197,201],"datasets":[198,202],"external":[200],"demonstrate":[203],"that":[204],"outputs":[208],"predictions":[215],"compared":[216],"existing":[218],"CT-based":[219],"state-of-the-art":[220],"(SOTA)":[221],"models,":[223],"achieving":[225],"significant":[226],"improvements":[227],"accuracy":[230],"(ACC)":[231],"area":[233],"under":[234],"receiver":[236],"operating":[237],"characteristic":[238],"curve":[239],"(AUC).Clinical":[240],"Relevance-":[241],"This":[242],"work":[243],"provides":[244],"method":[246],"automatically":[248],"classifying":[249]},"counts_by_year":[],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}