{"id":"https://openalex.org/W4387754894","doi":"https://doi.org/10.1145/3608298.3608299","title":"CCVNet: COVID-19 Detection in Chest X-ray Imaging based on Convolutional Neural Network","display_name":"CCVNet: COVID-19 Detection in Chest X-ray Imaging based on Convolutional Neural Network","publication_year":2023,"publication_date":"2023-05-12","ids":{"openalex":"https://openalex.org/W4387754894","doi":"https://doi.org/10.1145/3608298.3608299"},"language":"en","primary_location":{"id":"doi:10.1145/3608298.3608299","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3608298.3608299","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3608298.3608299","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 the 7th International Conference on Medical and Health Informatics (ICMHI)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3608298.3608299","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5093088674","display_name":"Watcharakorn Choomueang","orcid":"https://orcid.org/0009-0005-1310-9552"},"institutions":[{"id":"https://openalex.org/I76920116","display_name":"Srinakharinwirot University","ror":"https://ror.org/04718hx42","country_code":"TH","type":"education","lineage":["https://openalex.org/I76920116"]}],"countries":["TH"],"is_corresponding":true,"raw_author_name":"Watcharakorn Choomueang","raw_affiliation_strings":["Department of Computer Science, Faculty of Science, Srinakharinwirot University, Bangkok, Thailand, Thailand"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Faculty of Science, Srinakharinwirot University, Bangkok, Thailand, Thailand","institution_ids":["https://openalex.org/I76920116"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5093088675","display_name":"Chonlawit Withoonchatri","orcid":"https://orcid.org/0009-0009-5567-5228"},"institutions":[{"id":"https://openalex.org/I76920116","display_name":"Srinakharinwirot University","ror":"https://ror.org/04718hx42","country_code":"TH","type":"education","lineage":["https://openalex.org/I76920116"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Chonlawit Withoonchatri","raw_affiliation_strings":["Department of Computer Science, Faculty of Science, Srinakharinwirot University, Bangkok, Thailand, Thailand"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Faculty of Science, Srinakharinwirot University, Bangkok, Thailand, Thailand","institution_ids":["https://openalex.org/I76920116"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5093088676","display_name":"Paramaporn Janwong","orcid":"https://orcid.org/0009-0005-9299-8043"},"institutions":[{"id":"https://openalex.org/I76920116","display_name":"Srinakharinwirot University","ror":"https://ror.org/04718hx42","country_code":"TH","type":"education","lineage":["https://openalex.org/I76920116"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Paramaporn Janwong","raw_affiliation_strings":["Department of Computer Science, Faculty of Science, Srinakharinwirot University, Bangkok, Thailand, Thailand"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Faculty of Science, Srinakharinwirot University, Bangkok, Thailand, Thailand","institution_ids":["https://openalex.org/I76920116"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014047641","display_name":"Vera Sa\u2010ing","orcid":"https://orcid.org/0000-0002-3180-7590"},"institutions":[{"id":"https://openalex.org/I76920116","display_name":"Srinakharinwirot University","ror":"https://ror.org/04718hx42","country_code":"TH","type":"education","lineage":["https://openalex.org/I76920116"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Vera Sa-Ing","raw_affiliation_strings":["Department of Computer Science, Faculty of Science, Srinakharinwirot University, Bangkok, Thailand, Thailand"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Faculty of Science, Srinakharinwirot University, Bangkok, Thailand, Thailand","institution_ids":["https://openalex.org/I76920116"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5093088674"],"corresponding_institution_ids":["https://openalex.org/I76920116"],"apc_list":null,"apc_paid":null,"fwci":1.4217,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.82272359,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"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":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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9855999946594238,"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":0.9807000160217285,"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/convolutional-neural-network","display_name":"Convolutional neural network","score":0.8642677664756775},{"id":"https://openalex.org/keywords/confusion-matrix","display_name":"Confusion matrix","score":0.8316472768783569},{"id":"https://openalex.org/keywords/overfitting","display_name":"Overfitting","score":0.7506816387176514},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7409960627555847},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6517274975776672},{"id":"https://openalex.org/keywords/coronavirus-disease-2019","display_name":"Coronavirus disease 2019 (COVID-19)","score":0.5713679790496826},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5289058089256287},{"id":"https://openalex.org/keywords/confusion","display_name":"Confusion","score":0.43877464532852173},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43815991282463074},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.28205442428588867},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.19163772463798523},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.17537733912467957},{"id":"https://openalex.org/keywords/disease","display_name":"Disease","score":0.1516750156879425}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.8642677664756775},{"id":"https://openalex.org/C138602881","wikidata":"https://www.wikidata.org/wiki/Q2709591","display_name":"Confusion matrix","level":2,"score":0.8316472768783569},{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.7506816387176514},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7409960627555847},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6517274975776672},{"id":"https://openalex.org/C3008058167","wikidata":"https://www.wikidata.org/wiki/Q84263196","display_name":"Coronavirus disease 2019 (COVID-19)","level":4,"score":0.5713679790496826},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5289058089256287},{"id":"https://openalex.org/C2781140086","wikidata":"https://www.wikidata.org/wiki/Q557945","display_name":"Confusion","level":2,"score":0.43877464532852173},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43815991282463074},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.28205442428588867},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.19163772463798523},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.17537733912467957},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.1516750156879425},{"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/C11171543","wikidata":"https://www.wikidata.org/wiki/Q41630","display_name":"Psychoanalysis","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3608298.3608299","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3608298.3608299","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3608298.3608299","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 the 7th International Conference on Medical and Health Informatics (ICMHI)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3608298.3608299","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3608298.3608299","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3608298.3608299","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 the 7th International Conference on Medical and Health Informatics (ICMHI)","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.8700000047683716,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4387754894.pdf","grobid_xml":"https://content.openalex.org/works/W4387754894.grobid-xml"},"referenced_works_count":11,"referenced_works":["https://openalex.org/W3010223921","https://openalex.org/W3016017527","https://openalex.org/W3036552116","https://openalex.org/W3134978274","https://openalex.org/W3159001838","https://openalex.org/W3167147947","https://openalex.org/W3204073565","https://openalex.org/W3212519257","https://openalex.org/W4221130444","https://openalex.org/W4283067544","https://openalex.org/W4294691628"],"related_works":["https://openalex.org/W3099765033","https://openalex.org/W2093217629","https://openalex.org/W4366202965","https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3193565141","https://openalex.org/W3133861977","https://openalex.org/W2349679704","https://openalex.org/W3167935049","https://openalex.org/W3029198973"],"abstract_inverted_index":{"COVID-19":[0,96,160,279],"is":[1,22,65,106],"a":[2,118],"violent":[3],"disease":[4,21],"that":[5,69,105,179,288],"rapidly":[6],"transmits":[7],"from":[8],"human":[9,11],"to":[10,116,141,154,172,217,238],"until":[12],"the":[13,23,31,36,42,48,55,66,72,76,93,112,138,143,168,174,187,196,200,208,219,223,228,235,240,256,270,278,284,290],"world":[14],"pandemic.":[15],"The":[16,131,164,204],"preliminary":[17],"screening":[18],"for":[19,54,91,123,158],"this":[20,80],"reverse":[24],"transcription-polymerase":[25],"chain":[26],"reaction":[27],"(RT-PCR)":[28],"testing,":[29],"but":[30],"chest":[32,102,120,285],"X-ray":[33,103,121,286],"imaging":[34,178],"in":[35,59,100,211,276,283],"hospital":[37],"was":[38,195,231],"more":[39],"accurate.":[40],"However,":[41],"doctors":[43],"or":[44],"specialists":[45],"must":[46],"visualize":[47],"organs":[49],"on":[50],"images":[51,104,157,287],"and":[52,97,127,146,161,184,194,214,247,280],"search":[53],"indication":[56],"of":[57,74,176,181,222,263,266],"symptoms":[58],"many":[60,212],"cases":[61],"per":[62],"day.":[63],"This":[64],"main":[67],"problem":[68],"can":[70,274],"be":[71],"tiredness":[73],"making":[75],"wrong":[77],"diagnosis.":[78],"Therefore,":[79,269],"research":[81,110],"will":[82],"propose":[83],"an":[84,260],"improved":[85,207,257],"convolutional":[86],"neural":[87],"(CNN)":[88],"network":[89],"architecture":[90,210],"assisting":[92],"detection":[94,144,265],"between":[95],"normal":[98,162,281],"patients":[99,282],"improving":[101],"called":[107],"CCVNet.":[108],"Our":[109],"gathers":[111],"three":[113,151],"public":[114],"datasets":[115],"create":[117,155],"balanced":[119,132],"dataset":[122],"using":[124,150,234],"training,":[125],"validation,":[126],"testing":[128],"CNN":[129,170],"models.":[130],"dataset,":[133],"we":[134],"improve":[135],"by":[136,149,233],"removing":[137],"unusual":[139,291],"makers":[140],"increase":[142],"accuracy,":[145,241],"then":[147],"augment":[148],"simulated":[152],"criterions":[153],"30,576":[156],"each":[159],"cases.":[163],"first":[165,188],"experiment":[166,206],"compared":[167],"cutting-edge":[169],"models":[171],"use":[173],"analysis":[175],"medical":[177],"consists":[180],"VGG16,":[182],"RestNet50,":[183],"Xception.":[185],"From":[186,252],"results,":[189,255],"VGG16":[190,209],"represented":[191],"93.1%":[192],"accuracy":[193,221,262],"best":[197],"model":[198,230,258,273],"with":[199],"least":[201],"overfitting":[202],"results.":[203],"second":[205],"layers":[213],"setting":[215],"parameters":[216],"represent":[218],"94.4%":[220],"training":[224],"process.":[225],"In":[226],"addition,":[227],"proposed":[229,271],"evaluated":[232],"confusion":[236],"matrix":[237],"measure":[239],"sensitivity,":[242],"specificity,":[243],"precision,":[244],"F1":[245],"score,":[246],"receiver":[248],"operating":[249],"characteristic":[250],"curve.":[251],"these":[253],"evaluation":[254],"shows":[259],"average":[261],"corrected":[264],"about":[267],"94.4%.":[268],"CCVNet":[272],"assist":[275],"diagnosing":[277],"remove":[289],"markers.":[292]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
