{"id":"https://openalex.org/W4385707162","doi":"https://doi.org/10.1080/21681163.2023.2242523","title":"A novel hybrid heuristic adopted ensemble of deep learning models for COVID-19 detection framework using CT and X-Ray images","display_name":"A novel hybrid heuristic adopted ensemble of deep learning models for COVID-19 detection framework using CT and X-Ray images","publication_year":2023,"publication_date":"2023-08-09","ids":{"openalex":"https://openalex.org/W4385707162","doi":"https://doi.org/10.1080/21681163.2023.2242523"},"language":"en","primary_location":{"id":"doi:10.1080/21681163.2023.2242523","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1080/21681163.2023.2242523","pdf_url":null,"source":{"id":"https://openalex.org/S2764763012","display_name":"Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization","issn_l":"2168-1163","issn":["2168-1163","2168-1171"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computer Methods in Biomechanics and Biomedical Engineering: Imaging &amp; Visualization","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"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/A5080589832","display_name":"C. Mary Shiba","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"C Mary Shiba","raw_affiliation_strings":["Department of Computer science and business systems, R.M.K engineering college, Chennai, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer science and business systems, R.M.K engineering college, Chennai, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061074222","display_name":"M. Navaneethakrishnan","orcid":null},"institutions":[{"id":"https://openalex.org/I4210101093","display_name":"St. Joseph's Institute of Technology","ror":"https://ror.org/012npkr10","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210101093"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"M. Navaneethakrishnan","raw_affiliation_strings":["Department of Computer science and Engineering, St. Joseph college of engineering, Chennai, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer science and Engineering, St. Joseph college of engineering, Chennai, India","institution_ids":["https://openalex.org/I4210101093"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5092620603","display_name":"V Kalaipriya","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"V Kalaipriya","raw_affiliation_strings":["Department of Computer science and Engineering, RMK College of Engineering and Technology, Tiruvallur, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer science and Engineering, RMK College of Engineering and Technology, Tiruvallur, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085482301","display_name":"E. Smily Jeya Jothi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"E Jothi","raw_affiliation_strings":["Department of Information technology, New Prince Shri Bhavani College of Engineering and Technology, Chennai, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information technology, New Prince Shri Bhavani College of Engineering and Technology, Chennai, India","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063894100","display_name":"S. Gowsalya","orcid":null},"institutions":[{"id":"https://openalex.org/I43663321","display_name":"Hindustan Institute of Technology and Science","ror":"https://ror.org/037tgdn13","country_code":"IN","type":"education","lineage":["https://openalex.org/I43663321"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"S. Gowsalya","raw_affiliation_strings":["Department of Computer science and Engineering, Hindustan institute of technology and science, Gowrivakkam, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer science and Engineering, Hindustan institute of technology and science, Gowrivakkam, India","institution_ids":["https://openalex.org/I43663321"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5080589832"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.26933927,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"11","issue":"6","first_page":"2457","last_page":"2478"},"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/T10862","display_name":"AI in cancer detection","score":0.9696999788284302,"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"}},{"id":"https://openalex.org/T12874","display_name":"Digital Imaging for Blood Diseases","score":0.9575999975204468,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7400482892990112},{"id":"https://openalex.org/keywords/coronavirus-disease-2019","display_name":"Coronavirus disease 2019 (COVID-19)","score":0.7136253714561462},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7046889066696167},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.681117057800293},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5297010540962219},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.5185761451721191},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5004861354827881},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.49138370156288147},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.4528220593929291},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.43791693449020386},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4357214570045471},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.4324345886707306},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3566403090953827},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1922875940799713},{"id":"https://openalex.org/keywords/infectious-disease","display_name":"Infectious disease (medical specialty)","score":0.15215352177619934},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.10578933358192444},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.08408248424530029}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7400482892990112},{"id":"https://openalex.org/C3008058167","wikidata":"https://www.wikidata.org/wiki/Q84263196","display_name":"Coronavirus disease 2019 (COVID-19)","level":4,"score":0.7136253714561462},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7046889066696167},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.681117057800293},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5297010540962219},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.5185761451721191},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5004861354827881},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.49138370156288147},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.4528220593929291},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.43791693449020386},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4357214570045471},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.4324345886707306},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3566403090953827},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1922875940799713},{"id":"https://openalex.org/C524204448","wikidata":"https://www.wikidata.org/wiki/Q788926","display_name":"Infectious disease (medical specialty)","level":3,"score":0.15215352177619934},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.10578933358192444},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.08408248424530029},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/21681163.2023.2242523","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1080/21681163.2023.2242523","pdf_url":null,"source":{"id":"https://openalex.org/S2764763012","display_name":"Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization","issn_l":"2168-1163","issn":["2168-1163","2168-1171"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computer Methods in Biomechanics and Biomedical Engineering: Imaging &amp; Visualization","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.8100000023841858}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":67,"referenced_works":["https://openalex.org/W2038411763","https://openalex.org/W2064675550","https://openalex.org/W2742180631","https://openalex.org/W2766243861","https://openalex.org/W2919979744","https://openalex.org/W2963495494","https://openalex.org/W2972621596","https://openalex.org/W3011716991","https://openalex.org/W3018775276","https://openalex.org/W3024575832","https://openalex.org/W3024801014","https://openalex.org/W3027763298","https://openalex.org/W3028070348","https://openalex.org/W3035740374","https://openalex.org/W3048123412","https://openalex.org/W3049131298","https://openalex.org/W3049701554","https://openalex.org/W3082343684","https://openalex.org/W3094910079","https://openalex.org/W3095828274","https://openalex.org/W3096918659","https://openalex.org/W3104951425","https://openalex.org/W3106791009","https://openalex.org/W3107948185","https://openalex.org/W3110084950","https://openalex.org/W3127071205","https://openalex.org/W3128189270","https://openalex.org/W3132012119","https://openalex.org/W3138972185","https://openalex.org/W3139338041","https://openalex.org/W3144024447","https://openalex.org/W3150673007","https://openalex.org/W3163903840","https://openalex.org/W3164820705","https://openalex.org/W3165261737","https://openalex.org/W3168786469","https://openalex.org/W3169276156","https://openalex.org/W3179669524","https://openalex.org/W3183172222","https://openalex.org/W3193211895","https://openalex.org/W3193238958","https://openalex.org/W3197261730","https://openalex.org/W3203810622","https://openalex.org/W3212912762","https://openalex.org/W3216525936","https://openalex.org/W4200113603","https://openalex.org/W4200437144","https://openalex.org/W4206419394","https://openalex.org/W4206479908","https://openalex.org/W4206615655","https://openalex.org/W4210347885","https://openalex.org/W4224104512","https://openalex.org/W4224997286","https://openalex.org/W4225137323","https://openalex.org/W4226050263","https://openalex.org/W4229026853","https://openalex.org/W4282932342","https://openalex.org/W4283754341","https://openalex.org/W4284958810","https://openalex.org/W4285132448","https://openalex.org/W4285810268","https://openalex.org/W4289886863","https://openalex.org/W4294675761","https://openalex.org/W4306165589","https://openalex.org/W4306248755","https://openalex.org/W4313203213","https://openalex.org/W4319990128"],"related_works":["https://openalex.org/W4312417841","https://openalex.org/W2731899572","https://openalex.org/W3133861977","https://openalex.org/W4200173597","https://openalex.org/W3116150086","https://openalex.org/W2999805992","https://openalex.org/W4321369474","https://openalex.org/W2810053714","https://openalex.org/W3136979370","https://openalex.org/W1499475019"],"abstract_inverted_index":{"In":[0],"2019,":[1],"Corona":[2],"Virus":[3],"Disease":[4],"(COVID)-19":[5],"has":[6,114],"created":[7],"an":[8],"important":[9],"impact":[10],"on":[11],"people\u2019s":[12],"health":[13],"and":[14,25,57,87,137,160,203,245,252],"economy":[15],"because":[16],"of":[17,42,51,67,70,120,127,155,179,229],"its":[18],"rapid":[19],"spreading.":[20],"Therefore,":[21],"the":[22,29,43,48,61,65,71,102,118,125,131,138,149,153,168,174,177,210,213,230],"earlier":[23],"detection":[24,49,112,178,236,255],"diagnosis":[26],"for":[27,47,64,99],"handling":[28],"further":[30],"spread":[31],"is":[32,181,246],"regarded":[33],"as":[34,60,77,79,189],"a":[35,109],"significant":[36],"factor.":[37],"Computed":[38],"Tomography":[39],"(CT)":[40],"images":[41,140,151],"lungs":[44],"are":[45,141,171,217],"utilised":[46,96],"process":[50,154],"COVID-19":[52,111,128,180,235,254],"infection.":[53],"Chest":[54],"X-Ray":[55],"(CXR)":[56],"CT":[58,136],"serves":[59],"major":[62],"source":[63],"identification":[66],"COVID-19.":[68],"Some":[69],"classifiers":[72,122],"have":[73,95],"shown":[74],"promising":[75],"outcomes":[76],"well":[78],"better":[80],"performance":[81],"over":[82],"various":[83,242],"medical":[84],"imaging":[85],"applications":[86],"computer":[88],"vision":[89],"processes.":[90],"Due":[91],"COVID":[92],"pandemic,":[93],"researchers":[94],"standard":[97],"techniques":[98,163],"accurately":[100],"identifying":[101],"coronavirus":[103],"infection":[104,129],"in":[105,164,173],"lung":[106],"images.":[107,175],"Here,":[108],"new":[110],"approach":[113],"been":[115],"implemented":[116],"with":[117,248],"adoption":[119],"ensemble":[121,233],"to":[123,166],"recognise":[124],"occurrence":[126],"at":[130],"starting":[132],"phase.":[133],"The":[134,227],"required":[135],"CXR":[139],"garnered":[142],"from":[143],"publicly":[144],"presented":[145,172],"online":[146],"sources.":[147],"Meanwhile,":[148],"acquired":[150],"undergo":[152],"pre-processing":[156],"using":[157],"filtering":[158],"methods":[159],"histogram":[161],"equalisation":[162],"order":[165],"ignore":[167],"unnecessary":[169],"artifacts":[170],"Then,":[176],"made":[182],"possible":[183],"through":[184,241],"Ensemble":[185],"Classifiers":[186],"(EC)":[187],"such":[188],"Multi-scale":[190],"Convolutional":[191],"Neural":[192],"Networks":[193,197],"(CNN),":[194],"Residual":[195],"Attention":[196],"(RAN),":[198],"Visual":[199],"Geometry":[200],"Group":[201],"(VGG),":[202],"Long":[204],"Short":[205],"Term":[206],"Memory":[207],"(LSTM),":[208],"where":[209],"variables":[211],"within":[212],"machine":[214],"learning":[215],"strategies":[216],"tuned":[218],"by":[219],"Modified":[220],"Mexican":[221],"Axolotl":[222],"Shuffled":[223],"Frog-Leaping":[224],"Optimization":[225],"(MMASFLO).":[226],"efficacy":[228],"newly":[231],"developed":[232],"classifier-based":[234],"approaches":[237,251],"will":[238],"be":[239],"tested":[240,247],"benchmark":[243],"datasets,":[244],"several":[249],"existing":[250],"conventional":[253],"approaches.":[256]},"counts_by_year":[],"updated_date":"2026-06-15T08:34:33.830935","created_date":"2025-10-10T00:00:00"}
