{"id":"https://openalex.org/W4362496571","doi":"https://doi.org/10.1109/kst57286.2023.10086817","title":"A GoogLeNet Performance Approach for COVID-19 Detection using Chest X-ray Images","display_name":"A GoogLeNet Performance Approach for COVID-19 Detection using Chest X-ray Images","publication_year":2023,"publication_date":"2023-02-21","ids":{"openalex":"https://openalex.org/W4362496571","doi":"https://doi.org/10.1109/kst57286.2023.10086817"},"language":"en","primary_location":{"id":"doi:10.1109/kst57286.2023.10086817","is_oa":false,"landing_page_url":"https://doi.org/10.1109/kst57286.2023.10086817","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 15th International Conference on Knowledge and Smart Technology (KST)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5025563101","display_name":"Patipan Rattanawin","orcid":"https://orcid.org/0000-0001-8285-8649"},"institutions":[{"id":"https://openalex.org/I108108428","display_name":"Thammasat University","ror":"https://ror.org/002yp7f20","country_code":"TH","type":"education","lineage":["https://openalex.org/I108108428"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Patipan Rattanawin","raw_affiliation_strings":["Thammasat University,College of Interdisciplinary Studies,Data Science and Innovation,Pathum Thani,Thailand","Data Science and Innovation, College of Interdisciplinary Studies, Thammasat University, Pathum Thani, Thailand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Thammasat University,College of Interdisciplinary Studies,Data Science and Innovation,Pathum Thani,Thailand","institution_ids":["https://openalex.org/I108108428"]},{"raw_affiliation_string":"Data Science and Innovation, College of Interdisciplinary Studies, Thammasat University, Pathum Thani, Thailand","institution_ids":["https://openalex.org/I108108428"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062883930","display_name":"Tidatep Pakinsee","orcid":null},"institutions":[{"id":"https://openalex.org/I108108428","display_name":"Thammasat University","ror":"https://ror.org/002yp7f20","country_code":"TH","type":"education","lineage":["https://openalex.org/I108108428"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Tidatep Pakinsee","raw_affiliation_strings":["Thammasat University,College of Interdisciplinary Studies,Data Science and Innovation,Pathum Thani,Thailand","Data Science and Innovation, College of Interdisciplinary Studies, Thammasat University, Pathum Thani, Thailand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Thammasat University,College of Interdisciplinary Studies,Data Science and Innovation,Pathum Thani,Thailand","institution_ids":["https://openalex.org/I108108428"]},{"raw_affiliation_string":"Data Science and Innovation, College of Interdisciplinary Studies, Thammasat University, Pathum Thani, Thailand","institution_ids":["https://openalex.org/I108108428"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013324722","display_name":"Pokpong Songmuang","orcid":"https://orcid.org/0000-0002-4831-686X"},"institutions":[{"id":"https://openalex.org/I108108428","display_name":"Thammasat University","ror":"https://ror.org/002yp7f20","country_code":"TH","type":"education","lineage":["https://openalex.org/I108108428"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Pokpong Songmuang","raw_affiliation_strings":["Thammasat University,Faculty of Science and Technology,Department of Computer Science,Pathum Thani,Thailand","Department of Computer Science, Faculty of Science and Technology, Thammasat University, Pathum Thani, Thailand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Thammasat University,Faculty of Science and Technology,Department of Computer Science,Pathum Thani,Thailand","institution_ids":["https://openalex.org/I108108428"]},{"raw_affiliation_string":"Department of Computer Science, Faculty of Science and Technology, Thammasat University, Pathum Thani, Thailand","institution_ids":["https://openalex.org/I108108428"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I108108428"],"apc_list":null,"apc_paid":null,"fwci":2.7092,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.93239971,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"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/T12874","display_name":"Digital Imaging for Blood Diseases","score":0.9884999990463257,"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":0.982699990272522,"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/coronavirus-disease-2019","display_name":"Coronavirus disease 2019 (COVID-19)","score":0.8009632229804993},{"id":"https://openalex.org/keywords/confusion","display_name":"Confusion","score":0.6533673405647278},{"id":"https://openalex.org/keywords/confusion-matrix","display_name":"Confusion matrix","score":0.6266711950302124},{"id":"https://openalex.org/keywords/pneumonia","display_name":"Pneumonia","score":0.5696275234222412},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5218762159347534},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5011043548583984},{"id":"https://openalex.org/keywords/pandemic","display_name":"Pandemic","score":0.4793620705604553},{"id":"https://openalex.org/keywords/severe-acute-respiratory-syndrome-coronavirus-2","display_name":"Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)","score":0.46521902084350586},{"id":"https://openalex.org/keywords/disease","display_name":"Disease","score":0.4627667963504791},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.39918774366378784},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3654358983039856},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.23147934675216675},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.15058067440986633},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.0895099937915802},{"id":"https://openalex.org/keywords/infectious-disease","display_name":"Infectious disease (medical specialty)","score":0.07517114281654358}],"concepts":[{"id":"https://openalex.org/C3008058167","wikidata":"https://www.wikidata.org/wiki/Q84263196","display_name":"Coronavirus disease 2019 (COVID-19)","level":4,"score":0.8009632229804993},{"id":"https://openalex.org/C2781140086","wikidata":"https://www.wikidata.org/wiki/Q557945","display_name":"Confusion","level":2,"score":0.6533673405647278},{"id":"https://openalex.org/C138602881","wikidata":"https://www.wikidata.org/wiki/Q2709591","display_name":"Confusion matrix","level":2,"score":0.6266711950302124},{"id":"https://openalex.org/C2777914695","wikidata":"https://www.wikidata.org/wiki/Q12192","display_name":"Pneumonia","level":2,"score":0.5696275234222412},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5218762159347534},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5011043548583984},{"id":"https://openalex.org/C89623803","wikidata":"https://www.wikidata.org/wiki/Q12184","display_name":"Pandemic","level":5,"score":0.4793620705604553},{"id":"https://openalex.org/C3007834351","wikidata":"https://www.wikidata.org/wiki/Q82069695","display_name":"Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)","level":5,"score":0.46521902084350586},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.4627667963504791},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.39918774366378784},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3654358983039856},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.23147934675216675},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.15058067440986633},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0895099937915802},{"id":"https://openalex.org/C524204448","wikidata":"https://www.wikidata.org/wiki/Q788926","display_name":"Infectious disease (medical specialty)","level":3,"score":0.07517114281654358},{"id":"https://openalex.org/C11171543","wikidata":"https://www.wikidata.org/wiki/Q41630","display_name":"Psychoanalysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/kst57286.2023.10086817","is_oa":false,"landing_page_url":"https://doi.org/10.1109/kst57286.2023.10086817","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 15th International Conference on Knowledge and Smart Technology (KST)","raw_type":"proceedings-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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W2955805844","https://openalex.org/W3083753334","https://openalex.org/W4210510150","https://openalex.org/W4280531398","https://openalex.org/W4297775537","https://openalex.org/W6737664043","https://openalex.org/W6762718338"],"related_works":["https://openalex.org/W1982477181","https://openalex.org/W4285488523","https://openalex.org/W2407837381","https://openalex.org/W2011367623","https://openalex.org/W2734065904","https://openalex.org/W4366202965","https://openalex.org/W2093217629","https://openalex.org/W2349679704","https://openalex.org/W4389633859","https://openalex.org/W2570625548"],"abstract_inverted_index":{"Coronavirus":[0],"disease":[1,7],"(COVID-19)":[2],"is":[3,41],"a":[4,127],"major":[5],"pandemic":[6],"that":[8,106,113,141],"has":[9],"already":[10],"infected":[11],"millions":[12],"of":[13,31,43,57,88,100,119,124,130],"people":[14],"worldwide":[15],"and":[16,37,50,74,83,121,133],"affects":[17],"many":[18,25],"aspects,":[19],"especially":[20],"public":[21],"health.":[22],"There":[23],"are":[24],"clinical":[26],"techniques":[27,46],"for":[28,47,85],"the":[29,44,86,115],"diagnosis":[30,49],"this":[32,61],"disease,":[33],"such":[34],"as":[35],"RT-PCR":[36],"CT-Scan.":[38],"X-ray":[39,93],"image":[40],"one":[42],"important":[45],"medical":[48],"easily":[51],"accessible":[52],"in":[53],"classifying":[54],"suspected":[55],"cases":[56],"COVID-19":[58,65],"infection.":[59],"In":[60],"study,":[62],"we":[63],"classified":[64],"images":[66,94,147],"with":[67,126,137],"four":[68],"classes:":[69],"COVID-19,":[70],"Normal,":[71],"Lung":[72],"opacity":[73],"Viral":[75],"pneumonia":[76],"by":[77],"compared":[78],"three":[79],"models:":[80],"EfficientNetB0,":[81],"MobileNet":[82],"GoogLeNet":[84,107],"performance":[87],"classification":[89],"using":[90],"1,000":[91],"chest":[92],"from":[95],"Kaggle":[96],"dataset":[97],"within":[98],"scenario":[99],"resource":[101],"limitations.":[102],"The":[103],"experiment":[104],"reveals":[105],"shows":[108,142],"superiority":[109],"over":[110],"other":[111,149],"models":[112],"produced":[114],"highest":[116],"accuracy":[117],"results":[118],"88%":[120],"F1":[122],"score":[123],"0.88":[125],"total":[128],"time":[129],"1":[131],"hour":[132],"15":[134],"minutes.":[135],"Along":[136],"its":[138],"confusion":[139],"matrix":[140],"model":[143],"can":[144],"better":[145],"classify":[146],"than":[148],"models.":[150]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
