{"id":"https://openalex.org/W7204203416","doi":"https://doi.org/10.1109/evst69093.2026.11660559","title":"LungVision: Classifying lung diseases using CNN ensembles","display_name":"LungVision: Classifying lung diseases using CNN ensembles","publication_year":2026,"publication_date":"2026-06-01","ids":{"openalex":"https://openalex.org/W7204203416","doi":"https://doi.org/10.1109/evst69093.2026.11660559"},"language":"en","primary_location":{"id":"doi:10.1109/evst69093.2026.11660559","doi":"https://doi.org/10.1109/evst69093.2026.11660559","is_oa":true,"landing_page_url":"https://doi.org/10.1109/evst69093.2026.11660559","pdf_url":null,"source":{"id":"https://openalex.org/S7407097173","display_name":"International Conference on Emerging VLSI and Semiconductor Technology for AI and Computing Applications (EVST)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 6th International Conference on Emerging VLSI and Semiconductor Technology for AI and Computing Applications (EVST)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1109/evst69093.2026.11660559","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5065377007","display_name":"Aditi Arora","orcid":"https://orcid.org/0000-0002-2314-8900","observed_orcids":["https://orcid.org/0000-0002-2314-8900"]},"institutions":[{"id":"https://openalex.org/I4387154809","display_name":"ABES Engineering College","ror":"https://ror.org/04hp0cf98","country_code":"IN","type":"education","lineage":["https://openalex.org/I4387154809"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Aditi Arora","raw_affiliation_strings":["ABES Engineering College"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ABES Engineering College","institution_ids":["https://openalex.org/I4387154809"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5148125989","display_name":"Shivani Trivedi","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4387154809","display_name":"ABES Engineering College","ror":"https://ror.org/04hp0cf98","country_code":"IN","type":"education","lineage":["https://openalex.org/I4387154809"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Shivani Trivedi","raw_affiliation_strings":["ABES Engineering College"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ABES Engineering College","institution_ids":["https://openalex.org/I4387154809"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5148100342","display_name":"Rudraksh Tyagi","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4387154809","display_name":"ABES Engineering College","ror":"https://ror.org/04hp0cf98","country_code":"IN","type":"education","lineage":["https://openalex.org/I4387154809"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Rudraksh Tyagi","raw_affiliation_strings":["ABES Engineering College"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ABES Engineering College","institution_ids":["https://openalex.org/I4387154809"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5147748641","display_name":"Puneet Garg","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Puneet Garg","raw_affiliation_strings":["KIET (Deemed to be University)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"KIET (Deemed to be University)","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":1.0,"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/T11775","display_name":"COVID-19 diagnosis using AI","score":1.0,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.0,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.0,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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-disease-classification","display_name":"lung disease classification","score":0.9210000038146973},{"id":"https://openalex.org/keywords/chest-x-ray","display_name":"chest radiography","score":0.8059999942779541},{"id":"https://openalex.org/keywords/sars-cov-2-detection","display_name":"COVID-19 detection","score":0.859000027179718},{"id":"https://openalex.org/keywords/viral-pneumonia","display_name":"viral pneumonia","score":0.9990000128746033},{"id":"https://openalex.org/keywords/bacterial-lung-infection","display_name":"bacterial lung infection","score":0.7940000295639038},{"id":"https://openalex.org/keywords/cnn-ensemble","display_name":"CNN ensemble","score":0.8050000071525574},{"id":"https://openalex.org/keywords/weighted-ensemble","display_name":"weighted ensemble","score":0.9520000219345093},{"id":"https://openalex.org/keywords/transfer-learning","display_name":"transfer learning","score":0.6880000233650208},{"id":"https://openalex.org/keywords/densenet-121","display_name":"DenseNet121","score":0.9129999876022339},{"id":"https://openalex.org/keywords/resnet-50","display_name":"ResNet50","score":0.9990000128746033},{"id":"https://openalex.org/keywords/multiclass-image-classification","display_name":"multi-class image classification","score":0.597000002861023}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5794000029563904},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5435000061988831},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4496999979019165},{"id":"https://openalex.org/C2777714996","wikidata":"https://www.wikidata.org/wiki/Q7886","display_name":"Lung","level":2,"score":0.31310001015663147},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.30979999899864197},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.301800012588501},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.2777000069618225},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2558000087738037},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.2295999974012375},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.21439999341964722}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/evst69093.2026.11660559","doi":"https://doi.org/10.1109/evst69093.2026.11660559","is_oa":true,"landing_page_url":"https://doi.org/10.1109/evst69093.2026.11660559","pdf_url":null,"source":{"id":"https://openalex.org/S7407097173","display_name":"International Conference on Emerging VLSI and Semiconductor Technology for AI and Computing Applications (EVST)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 6th International Conference on Emerging VLSI and Semiconductor Technology for AI and Computing Applications (EVST)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1109/evst69093.2026.11660559","doi":"https://doi.org/10.1109/evst69093.2026.11660559","is_oa":true,"landing_page_url":"https://doi.org/10.1109/evst69093.2026.11660559","pdf_url":null,"source":{"id":"https://openalex.org/S7407097173","display_name":"International Conference on Emerging VLSI and Semiconductor Technology for AI and Computing Applications (EVST)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 6th International Conference on Emerging VLSI and Semiconductor Technology for AI and Computing Applications (EVST)","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.8560000061988831,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W2968605358","https://openalex.org/W3013277995","https://openalex.org/W3135057764","https://openalex.org/W3198276338","https://openalex.org/W4293328490","https://openalex.org/W4296965634","https://openalex.org/W4306291733","https://openalex.org/W4308160156","https://openalex.org/W4382864913","https://openalex.org/W4395052327"],"related_works":["https://openalex.org/W7215057040","https://openalex.org/W7213396813","https://openalex.org/W7159618769","https://openalex.org/W4392407934","https://openalex.org/W7160379527","https://openalex.org/W7222341268","https://openalex.org/W7125653751","https://openalex.org/W4414544895","https://openalex.org/W7169629440","https://openalex.org/W7220833183"],"abstract_inverted_index":{"COVID-19,":[0],"viral":[1],"pneumonia,":[2],"bacterial":[3,78],"infections":[4],"and":[5,34,75,91,97,110,152],"other":[6,77],"respiratory":[7],"diseases,":[8],"represent":[9],"a":[10,40,50,142],"major":[11,69],"global":[12],"health":[13],"problem.":[14],"The":[15,36,80,121],"primary,":[16],"non-invasive":[17],"tool":[18,144],"for":[19,21,59,145],"diagnosis":[20,157],"these":[22],"are":[23],"Chest":[24],"X-rays":[25],"(CXRs),":[26],"but":[27],"their":[28],"interpretation":[29],"by":[30,148],"radiologists":[31,147],"is":[32,141],"time-taking":[33],"subjective.":[35],"current":[37],"study":[38],"proposes":[39],"robust":[41],"deep":[42],"learning":[43],"(DL)":[44],"framework,":[45],"named":[46],"LungVision":[47,140],"that":[48,139],"utilizes":[49],"weighted":[51],"ensemble":[52,81],"(weighted)":[53],"of":[54,63,88],"Convolutional":[55],"Neural":[56],"Networks":[57],"(CNNs)":[58],"the":[60,83],"multi-class":[61],"classification":[62],"chest":[64],"X-ray":[65],"images":[66],"into":[67],"four":[68],"types:":[70],"Covid-19,":[71],"Viral":[72],"Pneumonia,":[73],"Normal":[74],"few":[76],"infections.":[79],"uses":[82],"advance":[84],"feature":[85],"extraction":[86],"capabilities":[87],"pre-trained":[89],"DensNet-121":[90],"ResNet-50":[92],"models":[93],"to":[94,107,113,129],"increase":[95],"accuracy":[96],"reliability.":[98],"We":[99],"utilized":[100],"Kaggle\u2019s":[101],"COVID-19":[102],"Radiography":[103],"Dataset,":[104],"applying":[105],"minimal":[106],"no":[108],"preprocessing":[109],"data":[111],"modification":[112],"enable":[114],"model":[115],"predictions":[116],"on":[117],"actual":[118],"clinical":[119,159],"data.":[120],"proposed":[122],"work":[123],"shows":[124],"better":[125,133],"performance":[126],"in":[127,158],"comparison":[128],"base":[130],"models,":[131],"achieving":[132],"result":[134],"metrics.":[135],"Experimental":[136],"results":[137],"indicate":[138],"promising":[143],"assisting":[146],"providing":[149],"fast,":[150],"objective,":[151],"reproducible":[153],"interpretations,":[154],"potentially":[155],"accelerating":[156],"settings.":[160]},"counts_by_year":[],"updated_date":"2026-11-08T12:12:28.789561","created_date":"2026-08-26T00:00:00"}
