{"id":"https://openalex.org/W4406261756","doi":"https://doi.org/10.1109/bibm62325.2024.10822200","title":"LungX-Net: Lung Cancer Diagnosis from CT and Histopathological Images via Attention Based Multi-Level Feature Fusion Network","display_name":"LungX-Net: Lung Cancer Diagnosis from CT and Histopathological Images via Attention Based Multi-Level Feature Fusion Network","publication_year":2024,"publication_date":"2024-12-03","ids":{"openalex":"https://openalex.org/W4406261756","doi":"https://doi.org/10.1109/bibm62325.2024.10822200"},"language":"en","primary_location":{"id":"doi:10.1109/bibm62325.2024.10822200","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm62325.2024.10822200","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","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/A5033930153","display_name":"Sohaib Asif","orcid":"https://orcid.org/0000-0003-0707-470X"},"institutions":[{"id":"https://openalex.org/I4210098734","display_name":"Zhejiang Cancer Hospital","ror":"https://ror.org/0144s0951","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210098734"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sohaib Asif","raw_affiliation_strings":["Taizhou Key Laboratory of Minimally Invasive Interventional Therapy &#x0026; Artificial Intelligence,Taizhou Campus of Zhejiang Cancer Hospital (Taizhou Cancer Hospital),Taizhou,China,317502"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Taizhou Key Laboratory of Minimally Invasive Interventional Therapy &#x0026; Artificial Intelligence,Taizhou Campus of Zhejiang Cancer Hospital (Taizhou Cancer Hospital),Taizhou,China,317502","institution_ids":["https://openalex.org/I4210098734"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114178205","display_name":"Vicky Yang Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Vicky Yang Wang","raw_affiliation_strings":["Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences,Center of Intelligent Diagnosis and Therapy (Taizhou),Taizhou,China,317502"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences,Center of Intelligent Diagnosis and Therapy (Taizhou),Taizhou,China,317502","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066945189","display_name":"D. Xu","orcid":"https://orcid.org/0000-0003-3257-9435"},"institutions":[{"id":"https://openalex.org/I4210098734","display_name":"Zhejiang Cancer Hospital","ror":"https://ror.org/0144s0951","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210098734"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dong Xu","raw_affiliation_strings":["Taizhou Key Laboratory of Minimally Invasive Interventional Therapy &#x0026; Artificial Intelligence,Taizhou Campus of Zhejiang Cancer Hospital (Taizhou Cancer Hospital),Taizhou,China,317502"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Taizhou Key Laboratory of Minimally Invasive Interventional Therapy &#x0026; Artificial Intelligence,Taizhou Campus of Zhejiang Cancer Hospital (Taizhou Cancer Hospital),Taizhou,China,317502","institution_ids":["https://openalex.org/I4210098734"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7317,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.75482839,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"6334","last_page":"6341"},"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":0.9854999780654907,"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":0.9854999780654907,"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":0.967199981212616,"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":0.9229999780654907,"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/feature","display_name":"Feature (linguistics)","score":0.7124141454696655},{"id":"https://openalex.org/keywords/lung-cancer","display_name":"Lung cancer","score":0.6309441328048706},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.576370358467102},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5746411681175232},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.47324782609939575},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.455412894487381},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4518831968307495},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.42431366443634033},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.3856593370437622},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.31459665298461914},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.20092859864234924},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.08831855654716492}],"concepts":[{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.7124141454696655},{"id":"https://openalex.org/C2776256026","wikidata":"https://www.wikidata.org/wiki/Q47912","display_name":"Lung cancer","level":2,"score":0.6309441328048706},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.576370358467102},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5746411681175232},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.47324782609939575},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.455412894487381},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4518831968307495},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.42431366443634033},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.3856593370437622},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.31459665298461914},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.20092859864234924},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.08831855654716492},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm62325.2024.10822200","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm62325.2024.10822200","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.75,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1944881280","https://openalex.org/W2077742325","https://openalex.org/W2208036992","https://openalex.org/W2752782242","https://openalex.org/W2777420618","https://openalex.org/W2900047169","https://openalex.org/W2908201961","https://openalex.org/W2915804716","https://openalex.org/W2937068764","https://openalex.org/W2963163009","https://openalex.org/W3028427008","https://openalex.org/W3037662149","https://openalex.org/W3110317366","https://openalex.org/W3127298451","https://openalex.org/W3168474540","https://openalex.org/W3169508433","https://openalex.org/W3172444062","https://openalex.org/W3191603129","https://openalex.org/W4213019189","https://openalex.org/W4253666673","https://openalex.org/W4281743937","https://openalex.org/W4289752563","https://openalex.org/W4291397340","https://openalex.org/W4313526382","https://openalex.org/W4315749947","https://openalex.org/W4390992267","https://openalex.org/W4391604165","https://openalex.org/W4399562439","https://openalex.org/W4400429759","https://openalex.org/W6637373629","https://openalex.org/W6753038380","https://openalex.org/W6772510107"],"related_works":["https://openalex.org/W2601157893","https://openalex.org/W2373006798","https://openalex.org/W2131735617","https://openalex.org/W2056912418","https://openalex.org/W2033213769","https://openalex.org/W4312376745","https://openalex.org/W2136016640","https://openalex.org/W2049538278","https://openalex.org/W2886173746","https://openalex.org/W4200043248"],"abstract_inverted_index":{"Lung":[0],"cancer":[1,8,37,79,173],"ranks":[2],"among":[3],"the":[4,111,142,193,199],"top":[5],"causes":[6],"of":[7,153,190],"mortality":[9],"worldwide.":[10],"However,":[11],"early":[12],"detection":[13],"can":[14,58],"significantly":[15,121],"boost":[16],"survival":[17],"rates,":[18],"potentially":[19],"increasing":[20],"them":[21],"by":[22,140],"as":[23,25],"much":[24],"70%.":[26],"While":[27],"deep":[28,72],"learning":[29,73],"algorithms":[30],"have":[31],"shown":[32],"promise":[33],"in":[34],"detecting":[35],"lung":[36,78,172],"from":[38],"CT":[39,83,182,194],"scans,":[40],"current":[41],"methods":[42],"are":[43],"often":[44],"inefficient,":[45],"and":[46,61,70,84,117,170,183,196,216,223],"single-model":[47],"approaches":[48],"struggle":[49],"with":[50,213],"complex":[51],"medical":[52],"images.":[53,86],"Leveraging":[54],"diverse":[55],"model":[56,74,89,101,127],"features":[57,119],"enhance":[59,137],"accuracy":[60,81,189,212],"simplify":[62],"detection.":[63],"This":[64,108],"paper":[65],"introduces":[66],"LungX-Net,":[67],"an":[68],"innovative":[69],"cost-effective":[71],"aimed":[75],"at":[76],"improving":[77],"diagnostic":[80,157],"using":[82],"histopathological":[85,184,200],"The":[87,126,151,175],"proposed":[88,176],"unifies":[90],"two":[91],"networks":[92],"into":[93],"a":[94,130,165,187],"unified,":[95],"trainable":[96],"feature":[97,138],"extraction":[98,139],"architecture,":[99],"employing":[100],"compression":[102],"to":[103,114,136,207],"preserve":[104],"essential":[105],"core":[106],"blocks.":[107],"approach":[109],"enhances":[110],"model\u2019s":[112],"ability":[113],"propagate":[115],"strong":[116],"robust":[118],"while":[120,159],"reducing":[122],"computational":[123],"resource":[124],"requirements.":[125],"also":[128],"integrates":[129],"Convolutional":[131],"Block":[132],"Attention":[133],"Module":[134],"(CBAM)":[135],"emphasizing":[141],"most":[143],"important":[144],"regions,":[145],"which":[146],"further":[147],"improves":[148],"overall":[149],"accuracy.":[150],"integration":[152],"these":[154],"techniques":[155],"optimizes":[156],"performance":[158,205],"strategically":[160],"minimizing":[161],"complexity,":[162],"making":[163],"LungX-Net":[164,177,202],"powerful":[166],"tool":[167],"for":[168],"efficient":[169],"precise":[171],"diagnosis.":[174],"was":[178],"evaluated":[179],"on":[180,192,198],"both":[181],"datasets,":[185],"achieving":[186,210],"recognition":[188],"99.09%":[191],"dataset":[195],"99.30%":[197],"dataset.":[201],"demonstrated":[203],"superior":[204],"compared":[206],"previous":[208],"approaches,":[209],"greater":[211],"fewer":[214],"parameters":[215],"faster":[217],"testing":[218],"times,":[219],"highlighting":[220],"its":[221],"efficiency":[222],"cost-effectiveness.":[224]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
