{"id":"https://openalex.org/W4321791423","doi":"https://doi.org/10.1142/s0218001423570033","title":"Classification of COVID-19 Patient Based on Multilayer Perceptron Neural Networks Optimized with Garra Rufa Fish Optimization Using CT Scan Images","display_name":"Classification of COVID-19 Patient Based on Multilayer Perceptron Neural Networks Optimized with Garra Rufa Fish Optimization Using CT Scan Images","publication_year":2023,"publication_date":"2023-02-24","ids":{"openalex":"https://openalex.org/W4321791423","doi":"https://doi.org/10.1142/s0218001423570033"},"language":"en","primary_location":{"id":"doi:10.1142/s0218001423570033","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001423570033","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","raw_type":"journal-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/A5000405296","display_name":"S. Vairaprakash","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Vairaprakash Selvaraj","raw_affiliation_strings":["Department of Electronics and Communication Engineering, Ramco Institute of Technology, Rajapalayam 626117, Tamil Nadu, India"],"affiliations":[{"raw_affiliation_string":"Department of Electronics and Communication Engineering, Ramco Institute of Technology, Rajapalayam 626117, Tamil Nadu, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047706793","display_name":"Manjunathan Alagarsamy","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Manjunathan Alagarsamy","raw_affiliation_strings":["Department of Electronics and Communication Engineering, K. Ramakrishnan College of Technology, Trichy 621112, Tamil Nadu, India"],"affiliations":[{"raw_affiliation_string":"Department of Electronics and Communication Engineering, K. Ramakrishnan College of Technology, Trichy 621112, Tamil Nadu, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071363833","display_name":"T. Dineshkumar","orcid":"https://orcid.org/0000-0002-9673-8282"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dineshkumar Thangaraju","raw_affiliation_strings":["Department of Electronics and Communication Engineering, Kongunadu College of Engineering and Technology, Trichy 621215, Tamil Nadu, India"],"affiliations":[{"raw_affiliation_string":"Department of Electronics and Communication Engineering, Kongunadu College of Engineering and Technology, Trichy 621215, Tamil Nadu, India","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5116386845","display_name":"Dinesh Paramathi Mani","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dinesh Paramathi Mani","raw_affiliation_strings":["Department of Electronics and Communication Engineering, Sona College of Technology, Salem 636005, Tamil Nadu, India"],"affiliations":[{"raw_affiliation_string":"Department of Electronics and Communication Engineering, Sona College of Technology, Salem 636005, Tamil Nadu, India","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5000405296"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.8924,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.85138364,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"37","issue":"06","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9998999834060669,"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":0.9998999834060669,"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/T12874","display_name":"Digital Imaging for Blood Diseases","score":0.9943000078201294,"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"}},{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9929999709129333,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.764501690864563},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6684631705284119},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6577801704406738},{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.6022500395774841},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5940134525299072},{"id":"https://openalex.org/keywords/coronavirus-disease-2019","display_name":"Coronavirus disease 2019 (COVID-19)","score":0.5682421922683716},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4846254289150238},{"id":"https://openalex.org/keywords/computed-tomography","display_name":"Computed tomography","score":0.46421268582344055},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4307444989681244},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.32975882291793823},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.15856215357780457},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.15792712569236755},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.12308290600776672}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.764501690864563},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6684631705284119},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6577801704406738},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.6022500395774841},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5940134525299072},{"id":"https://openalex.org/C3008058167","wikidata":"https://www.wikidata.org/wiki/Q84263196","display_name":"Coronavirus disease 2019 (COVID-19)","level":4,"score":0.5682421922683716},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4846254289150238},{"id":"https://openalex.org/C544519230","wikidata":"https://www.wikidata.org/wiki/Q32566","display_name":"Computed tomography","level":2,"score":0.46421268582344055},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4307444989681244},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.32975882291793823},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.15856215357780457},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.15792712569236755},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.12308290600776672},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.0},{"id":"https://openalex.org/C524204448","wikidata":"https://www.wikidata.org/wiki/Q788926","display_name":"Infectious disease (medical specialty)","level":3,"score":0.0},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0218001423570033","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001423570033","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life below water","id":"https://metadata.un.org/sdg/14","score":0.6899999976158142}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W2900686389","https://openalex.org/W3003160776","https://openalex.org/W3021040136","https://openalex.org/W3021622280","https://openalex.org/W3038744550","https://openalex.org/W3040660552","https://openalex.org/W3048123412","https://openalex.org/W3080648147","https://openalex.org/W3092175256","https://openalex.org/W3092624683","https://openalex.org/W3104004606","https://openalex.org/W3128914156","https://openalex.org/W3129469040","https://openalex.org/W3133631487","https://openalex.org/W3138985726","https://openalex.org/W3139833881","https://openalex.org/W3163893137","https://openalex.org/W3167203677","https://openalex.org/W3168156287","https://openalex.org/W3176429669","https://openalex.org/W3179841826","https://openalex.org/W3191359713","https://openalex.org/W3192366145","https://openalex.org/W3196703073","https://openalex.org/W4205639997","https://openalex.org/W4210613509","https://openalex.org/W4289838602"],"related_works":["https://openalex.org/W2591697403","https://openalex.org/W2953716828","https://openalex.org/W2904857019","https://openalex.org/W2944728705","https://openalex.org/W3011538607","https://openalex.org/W2904022177","https://openalex.org/W4321441197","https://openalex.org/W2359348847","https://openalex.org/W4294432981","https://openalex.org/W4321276295"],"abstract_inverted_index":{"COVID-19":[0,68,104,180,304,310,323],"is":[1,28,53,95,162,193,244],"known":[2],"in":[3,65,97,246],"recent":[4],"times":[5],"as":[6,179,252],"a":[7,19,57],"severe":[8],"syndrome":[9],"of":[10,47,74,92,103,130,158,187,190,208,222,238,268],"respiratory":[11],"organ":[12],"(Lungs)":[13],"and":[14,42,150,166,181,195,216,260,307,320],"has":[15,38],"gradually":[16],"produced":[17],"pneumonia,":[18],"lung":[20],"disorder":[21],"all":[22],"around":[23],"the":[24,33,67,72,79,101,117,128,131,148,156,185,191,213,219,235,266,269,292],"world.":[25],"As":[26],"coronavirus":[27],"continually":[29],"spreading":[30],"rapidly":[31],"globally,":[32],"computed":[34],"tomography":[35],"(CT)":[36],"technique":[37,60],"been":[39],"made":[40,163],"important":[41],"essential":[43],"for":[44,61,100,146,175,211,303],"quick":[45],"diagnosis":[46],"this":[48,98],"dangerous":[49],"syndrome.":[50],"Hence,":[51],"it":[52],"necessitated":[54],"to":[55,126,142,169,233],"develop":[56],"precise":[58],"computer-based":[59],"assisting":[62],"medical":[63],"clinicians":[64],"identifying":[66],"influenced":[69],"patients":[70,105],"with":[71,85,197,291],"help":[73],"CT":[75,93,159,176,223,300,313,326],"scan":[76,94,160,314,327],"images.":[77,224],"Therefore,":[78],"multilayer":[80,170],"perceptron":[81,171],"neural":[82,172],"networks":[83,173],"optimized":[84],"Garra":[86,226],"Rufa":[87,227],"Fish":[88,228],"optimization":[89,209,230],"using":[90,299],"images":[91,109,119,133,139,161,177,328],"proposed":[96,242,270],"paper":[99],"classification":[102,178,306,311],"(COV-19-MPNN-GRF-CTI).":[106],"The":[107,137,153,225,241,248],"input":[108,118,132,168],"are":[110,120,140,263],"taken":[111],"from":[112],"SARS-COV-2":[113],"CT-scan":[114],"dataset.":[115],"Initially,":[116],"pre-processed":[121,138],"utilizing":[122,312,325],"convolutional":[123],"auto-encoder":[124],"(CAE)":[125],"enhance":[127],"quality":[129],"by":[134],"eliminating":[135],"noises.":[136],"fed":[141],"Residual":[143],"Network":[144],"(ResNet-50)":[145],"extracting":[147],"global":[149],"statistical":[151],"features.":[152],"extraction":[154],"over":[155],"features":[157,221],"through":[164],"ResNet-50":[165,198],"subsequently":[167],"(MPNN)":[174],"Non-COVID-19":[182],"patients.":[183],"Here,":[184],"layer":[186],"Batch":[188],"Normalization":[189],"MPNN":[192,201,239],"separated":[194],"added":[196],"layer.":[199],"Generally,":[200],"classifier":[202],"does":[203],"not":[204],"divulge":[205],"any":[206],"adoption":[207],"approach":[210,243,318],"calculating":[212],"optimal":[214],"parameters":[215,237],"accurately":[217],"classifying":[218],"extracted":[220],"(GRF)":[229],"algorithm":[231],"performs":[232],"optimize":[234],"weight":[236],"classifiers.":[240],"executed":[245],"MATLAB.":[247],"performance":[249,267],"metrics,":[250],"such":[251],"sensitivity,":[253],"precision,":[254,283],"specificity,":[255],"[Formula:":[256],"see":[257],"text]-measure,":[258],"accuracy":[259],"error":[261,288],"rate,":[262],"examined.":[264],"Then":[265],"COV-19-MPNN-GRF-CTI":[271],"method":[272],"provides":[273],"22.08%,":[274],"24.03%,":[275],"34.76%":[276],"higher":[277,282],"accuracy,":[278],"23.34%,":[279],"26.45%,":[280],"34.44%":[281],"33.98%,":[284],"21.95%,":[285],"34.78%":[286],"lower":[287],"rate":[289],"compared":[290],"existing":[293],"methods,":[294],"like":[295],"multi-task":[296],"deep":[297,321],"learning":[298],"image":[301],"analysis":[302],"pneumonia":[305],"segmentation":[308],"(COV-19-MDP-CTI),":[309],"depending":[315],"on":[316],"meta-classifier":[317],"(COV-19-SEMC-CTI)":[319],"learning-based":[322],"prediction":[324],"(COV-19-CNN-CTI),":[329],"respectively.":[330]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
