{"id":"https://openalex.org/W3090831210","doi":"https://doi.org/10.1109/eit48999.2020.9208232","title":"Investigation of the performance of Machine Learning Classifiers for Pneumonia Detection in Chest X-ray Images","display_name":"Investigation of the performance of Machine Learning Classifiers for Pneumonia Detection in Chest X-ray Images","publication_year":2020,"publication_date":"2020-07-01","ids":{"openalex":"https://openalex.org/W3090831210","doi":"https://doi.org/10.1109/eit48999.2020.9208232","mag":"3090831210"},"language":"en","primary_location":{"id":"doi:10.1109/eit48999.2020.9208232","is_oa":false,"landing_page_url":"https://doi.org/10.1109/eit48999.2020.9208232","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Electro Information Technology (EIT)","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/A5004618535","display_name":"Rabia Emhamed Al Mamlook","orcid":"https://orcid.org/0000-0002-2523-7819"},"institutions":[{"id":"https://openalex.org/I3130915990","display_name":"Al Zawiya University","ror":"https://ror.org/01vnv1744","country_code":"LY","type":"education","lineage":["https://openalex.org/I3130915990"]}],"countries":["LY"],"is_corresponding":true,"raw_author_name":"Rabia Emhamed Al Mamlook","raw_affiliation_strings":["Mechanical Engineering, University of Al-Zawiya, Al-Zawiya, Libya"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mechanical Engineering, University of Al-Zawiya, Al-Zawiya, Libya","institution_ids":["https://openalex.org/I3130915990"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042417402","display_name":"Shengfeng Chen","orcid":"https://orcid.org/0000-0002-6501-8733"},"institutions":[{"id":"https://openalex.org/I141649380","display_name":"Western Michigan University","ror":"https://ror.org/04j198w64","country_code":"US","type":"education","lineage":["https://openalex.org/I141649380"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shengfeng Chen","raw_affiliation_strings":["Industrial Engineering, Western Michigan University, Kalamazoo, MI, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Industrial Engineering, Western Michigan University, Kalamazoo, MI, USA","institution_ids":["https://openalex.org/I141649380"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076294719","display_name":"Hanin Bzizi","orcid":null},"institutions":[{"id":"https://openalex.org/I141649380","display_name":"Western Michigan University","ror":"https://ror.org/04j198w64","country_code":"US","type":"education","lineage":["https://openalex.org/I141649380"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hanin Fawzi Bzizi","raw_affiliation_strings":["Biomedical Sciences, Western Michigan University, Kalamazoo, MI, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Biomedical Sciences, Western Michigan University, Kalamazoo, MI, USA","institution_ids":["https://openalex.org/I141649380"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5004618535"],"corresponding_institution_ids":["https://openalex.org/I3130915990"],"apc_list":null,"apc_paid":null,"fwci":4.5808,"has_fulltext":false,"cited_by_count":76,"citation_normalized_percentile":{"value":0.96126868,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"098","last_page":"104"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9923999905586243,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9898999929428101,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7675280570983887},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.7308181524276733},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7238637804985046},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6955186128616333},{"id":"https://openalex.org/keywords/pneumonia","display_name":"Pneumonia","score":0.6943601369857788},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6249203085899353},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5855441689491272},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5427975058555603},{"id":"https://openalex.org/keywords/medical-imaging","display_name":"Medical imaging","score":0.43837660551071167},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.42409518361091614},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.20090928673744202},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.08598887920379639},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0849931538105011}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7675280570983887},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.7308181524276733},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7238637804985046},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6955186128616333},{"id":"https://openalex.org/C2777914695","wikidata":"https://www.wikidata.org/wiki/Q12192","display_name":"Pneumonia","level":2,"score":0.6943601369857788},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6249203085899353},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5855441689491272},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5427975058555603},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.43837660551071167},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.42409518361091614},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.20090928673744202},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.08598887920379639},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0849931538105011},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"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:10.1109/eit48999.2020.9208232","is_oa":false,"landing_page_url":"https://doi.org/10.1109/eit48999.2020.9208232","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Electro Information Technology (EIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W632360350","https://openalex.org/W1978559313","https://openalex.org/W2051838543","https://openalex.org/W2106728628","https://openalex.org/W2123644769","https://openalex.org/W2130147855","https://openalex.org/W2581082771","https://openalex.org/W2592929672","https://openalex.org/W2768252147","https://openalex.org/W2886281300","https://openalex.org/W2904060505","https://openalex.org/W2947445251","https://openalex.org/W2962708065","https://openalex.org/W2967922574","https://openalex.org/W2968015094","https://openalex.org/W4253380682","https://openalex.org/W4300485340","https://openalex.org/W6678408702","https://openalex.org/W6746075246","https://openalex.org/W6763163753"],"related_works":["https://openalex.org/W4375867731","https://openalex.org/W4226493464","https://openalex.org/W3133861977","https://openalex.org/W2951211570","https://openalex.org/W3103566983","https://openalex.org/W3029198973","https://openalex.org/W3024479225","https://openalex.org/W4323287533","https://openalex.org/W3171371563","https://openalex.org/W3003847115"],"abstract_inverted_index":{"Pneumonia":[0,71,201],"is":[1,10,37,50,136],"one":[2],"of":[3,18,43,63,91,144,191],"the":[4,19,23,44,61,70,89,132,150,155,159,163],"serious":[5],"and":[6,21,56,67,76,109,121],"life-threatening":[7],"diseases":[8],"that":[9,59,85,149],"caused":[11],"by":[12],"a":[13,31,38,51,83,195],"bacterial":[14],"or":[15],"viral":[16],"infection":[17,176],"lungs":[20],"have":[22,115],"potential":[24],"to":[25,68,81,118,162],"result":[26,198],"in":[27,41,177,199],"severe":[28],"consequences":[29],"within":[30],"short":[32],"period.":[33],"Therefore,":[34],"early":[35],"diagnosis":[36],"significant":[39],"factor":[40],"terms":[42],"successful":[45,197],"treatment":[46],"process.":[47],"Thus,":[48],"there":[49],"need":[52],"for":[53,74,131,154],"an":[54,188],"intelligent":[55],"automatic":[57],"system":[58],"has":[60],"capability":[62],"diagnosing":[64],"chest":[65,92,175],"X-rays,":[66],"simplify":[69],"detection":[72],"process":[73],"experts":[75],"novices.":[77],"This":[78],"study":[79],"aims":[80],"develop":[82],"model":[84],"will":[86],"help":[87],"with":[88,138,187],"classification":[90,133,156],"X-ray":[93,179],"medical":[94],"images":[95],"into":[96],"normal(healthy)":[97],"vs.":[98],"abnormal(sick).":[99],"To":[100],"achieve":[101],"this,":[102],"seven":[103,165],"existing":[104],"state-of-the-art":[105],"Machine":[106,166],"Learning":[107,130,152,167,183],"techniques":[108],"well-known":[110],"Convolutional":[111],"Neural":[112],"Network":[113],"models":[114],"been":[116],"used":[117],"increase":[119],"efficiency":[120],"accuracy.":[122],"In":[123,169],"this":[124,170],"study,":[125,171],"we":[126,172],"propose":[127],"our":[128],"Deep":[129,151,182],"task,":[134],"which":[135],"trained":[137],"changed":[139],"images,":[140],"through":[141],"multiple":[142],"steps":[143],"pre-processing.":[145],"Experimentally,":[146],"it":[147],"showed":[148],"technique":[153],"task":[157],"performs":[158],"best,":[160],"compared":[161],"other":[164],"techniques.":[168],"successfully":[173],"classified":[174],"Chest":[178],"Images":[180],"using":[181],"based":[184],"on":[185],"CNN":[186],"overall":[189],"accuracy":[190],"98.46%.":[192],"It":[193],"achieved":[194],"more":[196],"detecting":[200],"cases.":[202]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":22},{"year":2023,"cited_by_count":15},{"year":2022,"cited_by_count":13},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":2}],"updated_date":"2026-05-07T13:39:58.223016","created_date":"2025-10-10T00:00:00"}