{"id":"https://openalex.org/W3117417736","doi":"https://doi.org/10.1109/access.2022.3157316","title":"A Hybrid VDV Model for Automatic Diagnosis of Pneumothorax Using Class-Imbalanced Chest X-Rays Dataset","display_name":"A Hybrid VDV Model for Automatic Diagnosis of Pneumothorax Using Class-Imbalanced Chest X-Rays Dataset","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W3117417736","doi":"https://doi.org/10.1109/access.2022.3157316","mag":"3117417736"},"language":"en","primary_location":{"id":"doi:10.1109/access.2022.3157316","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3157316","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9668973/09729735.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"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":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/9668973/09729735.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5070838315","display_name":"Tahira Iqbal","orcid":null},"institutions":[{"id":"https://openalex.org/I929597975","display_name":"National University of Sciences and Technology","ror":"https://ror.org/03w2j5y17","country_code":"PK","type":"education","lineage":["https://openalex.org/I929597975"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Tahira Iqbal","raw_affiliation_strings":["Department of Computer and Software Engineering, College of Electrical and Mechanical Engineering, National University of Sciences and Technology (NUST), Islamabad, Pakistan"],"raw_orcid":"https://orcid.org/0000-0003-0589-2979","affiliations":[{"raw_affiliation_string":"Department of Computer and Software Engineering, College of Electrical and Mechanical Engineering, National University of Sciences and Technology (NUST), Islamabad, Pakistan","institution_ids":["https://openalex.org/I929597975"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024744661","display_name":"Arslan Shaukat","orcid":"https://orcid.org/0000-0002-1612-111X"},"institutions":[{"id":"https://openalex.org/I929597975","display_name":"National University of Sciences and Technology","ror":"https://ror.org/03w2j5y17","country_code":"PK","type":"education","lineage":["https://openalex.org/I929597975"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Arslan Shaukat","raw_affiliation_strings":["Department of Computer and Software Engineering, College of Electrical and Mechanical Engineering, National University of Sciences and Technology (NUST), Islamabad, Pakistan"],"raw_orcid":"https://orcid.org/0000-0002-1612-111X","affiliations":[{"raw_affiliation_string":"Department of Computer and Software Engineering, College of Electrical and Mechanical Engineering, National University of Sciences and Technology (NUST), Islamabad, Pakistan","institution_ids":["https://openalex.org/I929597975"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017346745","display_name":"Muhammad Usman Akram","orcid":"https://orcid.org/0000-0002-6208-7231"},"institutions":[{"id":"https://openalex.org/I929597975","display_name":"National University of Sciences and Technology","ror":"https://ror.org/03w2j5y17","country_code":"PK","type":"education","lineage":["https://openalex.org/I929597975"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Muhammad Usman Akram","raw_affiliation_strings":["Department of Computer and Software Engineering, College of Electrical and Mechanical Engineering, National University of Sciences and Technology (NUST), Islamabad, Pakistan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer and Software Engineering, College of Electrical and Mechanical Engineering, National University of Sciences and Technology (NUST), Islamabad, Pakistan","institution_ids":["https://openalex.org/I929597975"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076946760","display_name":"Abdul Wahab Muzaffar","orcid":"https://orcid.org/0000-0001-7910-0378"},"institutions":[{"id":"https://openalex.org/I120238654","display_name":"Saudi Electronic University","ror":"https://ror.org/05ndh7v49","country_code":"SA","type":"education","lineage":["https://openalex.org/I120238654"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Abdul Wahab Muzaffar","raw_affiliation_strings":["College of Computing and Informatics, Saudi Electronic University, Riyadh, Saudi Arabia"],"raw_orcid":"https://orcid.org/0000-0001-7910-0378","affiliations":[{"raw_affiliation_string":"College of Computing and Informatics, Saudi Electronic University, Riyadh, Saudi Arabia","institution_ids":["https://openalex.org/I120238654"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049178515","display_name":"Zartasha Mustansar","orcid":"https://orcid.org/0000-0002-2327-7577"},"institutions":[{"id":"https://openalex.org/I929597975","display_name":"National University of Sciences and Technology","ror":"https://ror.org/03w2j5y17","country_code":"PK","type":"education","lineage":["https://openalex.org/I929597975"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Zartasha Mustansar","raw_affiliation_strings":["Research Centre for Modelling and Simulation (RCMS), National University of Sciences and Technology (NUST), Islamabad, Pakistan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Centre for Modelling and Simulation (RCMS), National University of Sciences and Technology (NUST), Islamabad, Pakistan","institution_ids":["https://openalex.org/I929597975"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110809957","display_name":"Yung-Cheol Byun","orcid":"https://orcid.org/0000-0003-1107-9941"},"institutions":[{"id":"https://openalex.org/I83202590","display_name":"Jeju National University","ror":"https://ror.org/05hnb4n85","country_code":"KR","type":"education","lineage":["https://openalex.org/I83202590"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Yung-Cheol Byun","raw_affiliation_strings":["Department of Computer Engineering, Jeju National University, Jeju, South Korea"],"raw_orcid":"https://orcid.org/0000-0003-1107-9941","affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Jeju National University, Jeju, South Korea","institution_ids":["https://openalex.org/I83202590"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.5636,"has_fulltext":true,"cited_by_count":14,"citation_normalized_percentile":{"value":0.80921096,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"10","issue":null,"first_page":"27670","last_page":"27683"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9940000176429749,"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":0.9940000176429749,"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/T12419","display_name":"Phonocardiography and Auscultation Techniques","score":0.9639999866485596,"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/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9632999897003174,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6631793975830078},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6493449807167053},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6131747961044312},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6079898476600647},{"id":"https://openalex.org/keywords/extractor","display_name":"Extractor","score":0.5653852224349976},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5404423475265503},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5241968035697937},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.4704403281211853},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.44129395484924316},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.39405614137649536},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3412679433822632}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6631793975830078},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6493449807167053},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6131747961044312},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6079898476600647},{"id":"https://openalex.org/C117978034","wikidata":"https://www.wikidata.org/wiki/Q5422192","display_name":"Extractor","level":2,"score":0.5653852224349976},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5404423475265503},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5241968035697937},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.4704403281211853},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.44129395484924316},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39405614137649536},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3412679433822632},{"id":"https://openalex.org/C21880701","wikidata":"https://www.wikidata.org/wiki/Q2144042","display_name":"Process engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2022.3157316","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3157316","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9668973/09729735.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"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":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:9269ce401de54ba688d9e579ad4e23a2","is_oa":true,"landing_page_url":"https://doaj.org/article/9269ce401de54ba688d9e579ad4e23a2","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 10, Pp 27670-27683 (2022)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2022.3157316","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3157316","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9668973/09729735.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"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":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3117417736.pdf","grobid_xml":"https://content.openalex.org/works/W3117417736.grobid-xml"},"referenced_works_count":63,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W1905153633","https://openalex.org/W1965895350","https://openalex.org/W1976442001","https://openalex.org/W1990298245","https://openalex.org/W1994380158","https://openalex.org/W2002718637","https://openalex.org/W2011376672","https://openalex.org/W2018230213","https://openalex.org/W2023299139","https://openalex.org/W2040010062","https://openalex.org/W2091007025","https://openalex.org/W2100208452","https://openalex.org/W2101234009","https://openalex.org/W2104167780","https://openalex.org/W2118978333","https://openalex.org/W2119107710","https://openalex.org/W2132241724","https://openalex.org/W2136903812","https://openalex.org/W2148143831","https://openalex.org/W2472223596","https://openalex.org/W2557738935","https://openalex.org/W2562319768","https://openalex.org/W2581082771","https://openalex.org/W2639586488","https://openalex.org/W2731010577","https://openalex.org/W2734773959","https://openalex.org/W2767106145","https://openalex.org/W2770241596","https://openalex.org/W2789255886","https://openalex.org/W2795964626","https://openalex.org/W2797152216","https://openalex.org/W2805915629","https://openalex.org/W2888397986","https://openalex.org/W2899412438","https://openalex.org/W2901794879","https://openalex.org/W2902849268","https://openalex.org/W2906424845","https://openalex.org/W2912107221","https://openalex.org/W2959281129","https://openalex.org/W2962816100","https://openalex.org/W2963446712","https://openalex.org/W2967564472","https://openalex.org/W2975793979","https://openalex.org/W2990410559","https://openalex.org/W2995811145","https://openalex.org/W3005711456","https://openalex.org/W3008444580","https://openalex.org/W3018513917","https://openalex.org/W3038187447","https://openalex.org/W3040676006","https://openalex.org/W3100792887","https://openalex.org/W4210287892","https://openalex.org/W4300485340","https://openalex.org/W6637373629","https://openalex.org/W6675354045","https://openalex.org/W6680202767","https://openalex.org/W6740609221","https://openalex.org/W6746693533","https://openalex.org/W6750676543","https://openalex.org/W6772001292","https://openalex.org/W6827639572","https://openalex.org/W6889630501"],"related_works":["https://openalex.org/W3082848404","https://openalex.org/W1979583797","https://openalex.org/W2016864125","https://openalex.org/W3141979996","https://openalex.org/W2953302367","https://openalex.org/W2945706271","https://openalex.org/W4387435415","https://openalex.org/W2114169842","https://openalex.org/W2535808783","https://openalex.org/W3183408266"],"abstract_inverted_index":{"Pneumothorax,":[0],"a":[1,50,128,147,276,290],"life-threatening":[2],"disease,":[3],"needs":[4],"to":[5,23,61,183,204,221],"be":[6],"diagnosed":[7],"immediately":[8],"and":[9,88,103,153,163,189,237],"efficiently.":[10],"The":[11,54,142,295],"prognosis,":[12],"in":[13],"this":[14,58,63],"case,":[15],"is":[16,36,60,146,191,219,229,262,273,287],"not":[17],"only":[18],"time-consuming":[19],"but":[20],"also":[21],"prone":[22],"human":[24],"errors.":[25],"So,":[26],"an":[27,68],"automatic":[28],"way":[29,70],"of":[30,43,57,71,100,111,120,151,176,240,279,293,297,310],"accurate":[31],"diagnosis":[32],"using":[33,193],"chest":[34],"X-rays":[35],"the":[37,44,76,85,177,194,200,216,223,232,247,256,265,302,308],"utmost":[38],"requirement.":[39],"To":[40,74],"date,":[41],"most":[42],"available":[45],"medical":[46],"image":[47],"datasets":[48,303],"have":[49],"class-imbalance":[51],"(CI)":[52],"issue.":[53],"main":[55],"theme":[56],"study":[59],"solve":[62],"problem":[64],"along":[65],"with":[66,108,252,270,275,284,289,304],"proposing":[67],"automated":[69],"detecting":[72],"pneumothorax.":[73],"find":[75,89],"optimal":[77],"approach":[78,122],"for":[79,123,135,300,314],"CI":[80,124],"problem,":[81,125],"we":[82,126],"first":[83,248],"compare":[84],"existing":[86,116],"approaches":[87],"that":[90],"under-bagging":[91],"method":[92,218],"(referred":[93],"as":[94,132,165,209],"data-level-ensemble":[95],"formed":[96],"by":[97],"creating":[98],"subsets":[99],"majority":[101],"class":[102],"then":[104],"combining":[105],"each":[106,170],"subset":[107],"all":[109],"samples":[110],"minority":[112],"class)":[113],"outperforms":[114],"other":[115],"approaches.":[117],"After":[118],"selection":[119],"best":[121],"propose":[127],"novel":[129],"framework,":[130],"named":[131],"VDV":[133,144,312],"model,":[134],"pneumothorax":[136,315],"detection":[137],"from":[138,174,199],"highly":[139],"imbalance":[140],"dataset.":[141],"proposed":[143,227,311],"model":[145,313],"complex":[148],"model-level":[149],"ensemble":[150],"data-level-ensembles":[152,202],"uses":[154],"three":[155,201,205],"convolutional":[156],"neural":[157],"networks":[158],"(CNN)":[159],"including":[160],"VGG16,":[161],"VGG-19,":[162],"DenseNet-121":[164],"fixed":[166],"feature":[167,210],"extractors.":[168],"In":[169],"data-level-ensemble,":[171],"features":[172],"extracted":[173],"one":[175],"pre-defined":[178],"CNN":[179,207],"architectures":[180,208],"are":[181,212],"fed":[182],"support":[184],"vector":[185],"machine":[186],"(SVM)":[187],"classifier,":[188],"output":[190],"calculated":[192],"voting":[195,217],"method.":[196],"Once":[197],"outputs":[198],"(corresponding":[203],"different":[206],"extractor)":[211],"obtained,":[213],"then,":[214],"again,":[215],"used":[220],"calculate":[222],"final":[224],"prediction.":[225],"Our":[226],"framework":[228],"tested":[230],"on":[231],"SIIM":[233],"ACR":[234],"Pneumothorax":[235],"dataset":[236,244],"Random":[238],"Sample":[239],"NIH":[241],"Chest":[242],"X-ray":[243],"(RS-NIH).":[245],"For":[246,264],"dataset,":[249,267],"85.17&#x0025;":[250],"Recall":[251,269],"86.0&#x0025;":[253],"Area":[254],"under":[255],"Receiver":[257],"Operating":[258],"Characteristic":[259],"curve":[260],"(AUC)":[261],"attained.":[263],"second":[266],"90.9&#x0025;":[268],"95.0&#x0025;":[271],"AUC":[272,286],"achieved":[274],"random":[277],"split":[278,292],"data":[280],"while":[281],"85.45&#x0025;":[282],"recall":[283],"77.06&#x0025;":[285],"obtained":[288],"patient-wise":[291],"data.":[294],"comparison":[296],"our":[298],"results":[299],"both":[301],"related":[305],"work":[306],"proves":[307],"effectiveness":[309],"detection.":[316]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}
