{"id":"https://openalex.org/W3024005803","doi":"https://doi.org/10.3844/jcssp.2020.620.625","title":"GoogleNet CNN Neural Network towards Chest CT-Coronavirus Medical Image Classification","display_name":"GoogleNet CNN Neural Network towards Chest CT-Coronavirus Medical Image Classification","publication_year":2020,"publication_date":"2020-05-01","ids":{"openalex":"https://openalex.org/W3024005803","doi":"https://doi.org/10.3844/jcssp.2020.620.625","mag":"3024005803"},"language":"en","primary_location":{"id":"doi:10.3844/jcssp.2020.620.625","doi":"https://doi.org/10.3844/jcssp.2020.620.625","is_oa":true,"landing_page_url":"https://doi.org/10.3844/jcssp.2020.620.625","pdf_url":"https://thescipub.com/pdf/jcssp.2020.620.625.pdf","source":{"id":"https://openalex.org/S50245893","display_name":"Journal of Computer Science","issn_l":"1549-3636","issn":["1549-3636","1552-6607"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","poland-20","russia-white-list-3"],"host_organization":"https://openalex.org/P4322697006","host_organization_name":"Science Publications","host_organization_lineage":["https://openalex.org/P4322697006"],"host_organization_lineage_names":["Science Publications"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computer Science","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://thescipub.com/pdf/jcssp.2020.620.625.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5031632461","display_name":"Nesreen Alsharman","orcid":"https://orcid.org/0000-0003-1369-8527","observed_orcids":["https://orcid.org/0000-0003-1369-8527"]},"institutions":[{"id":"https://openalex.org/I100086675","display_name":"Al-Hussein Bin Talal University","ror":"https://ror.org/019dkd780","country_code":"JO","type":"education","lineage":["https://openalex.org/I100086675"]},{"id":"https://openalex.org/I3132651366","display_name":"World Islamic Sciences and Education University","ror":"https://ror.org/051mkwn17","country_code":"JO","type":"education","lineage":["https://openalex.org/I3132651366"]}],"countries":["JO"],"is_corresponding":true,"raw_author_name":"Nesreen Alsharman","raw_affiliation_strings":["Department of Computer Science, WISE, Amman, Jordan","Department of Math, Al-Hussein Bin Talal University, Ma'an, Jordan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, WISE, Amman, Jordan","institution_ids":["https://openalex.org/I3132651366"]},{"raw_affiliation_string":"Department of Math, Al-Hussein Bin Talal University, Ma'an, Jordan","institution_ids":["https://openalex.org/I100086675"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002428912","display_name":"Ibrahim Jawarneh","orcid":"https://orcid.org/0000-0002-6153-8571","observed_orcids":["https://orcid.org/0000-0002-6153-8571"]},"institutions":[{"id":"https://openalex.org/I3132651366","display_name":"World Islamic Sciences and Education University","ror":"https://ror.org/051mkwn17","country_code":"JO","type":"education","lineage":["https://openalex.org/I3132651366"]}],"countries":["JO"],"is_corresponding":false,"raw_author_name":"Ibrahim Jawarneh","raw_affiliation_strings":["Department of Computer Science, WISE, Amman, Jordan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, WISE, Amman, Jordan","institution_ids":["https://openalex.org/I3132651366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5031632461"],"corresponding_institution_ids":["https://openalex.org/I100086675","https://openalex.org/I3132651366"],"apc_list":null,"apc_paid":null,"fwci":3.8232,"has_fulltext":true,"cited_by_count":52,"citation_normalized_percentile":{"value":0.9552004,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":88,"max":99},"biblio":{"volume":"16","issue":"5","first_page":"620","last_page":"625"},"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/T10036","display_name":"Advanced Neural Network Applications","score":0.0,"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/T11636","display_name":"Artificial Intelligence in Healthcare and Education","score":0.0,"subfield":{"id":"https://openalex.org/subfields/2718","display_name":"Health Informatics"},"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/covid-19","display_name":"COVID-19 pandemic","score":0.875},{"id":"https://openalex.org/keywords/chest-ct-images","display_name":"chest CT images","score":0.9169999957084656},{"id":"https://openalex.org/keywords/googlenet","display_name":"GoogLeNet","score":0.6880000233650208},{"id":"https://openalex.org/keywords/convolutional-neural-networks","display_name":"convolutional neural networks","score":0.949999988079071},{"id":"https://openalex.org/keywords/medical-image-classification","display_name":"medical image classification","score":0.9629999995231628},{"id":"https://openalex.org/keywords/early-detection","display_name":"early detection","score":0.47699999809265137},{"id":"https://openalex.org/keywords/reskilling","display_name":"retraining","score":0.5329999923706055}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.8147186636924744},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7386994361877441},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.7142530679702759},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7122673392295837},{"id":"https://openalex.org/C3008058167","wikidata":"https://www.wikidata.org/wiki/Q84263196","display_name":"Coronavirus disease 2019 (COVID-19)","level":4,"score":0.6592879891395569},{"id":"https://openalex.org/C2777648638","wikidata":"https://www.wikidata.org/wiki/Q57751738","display_name":"Coronavirus","level":5,"score":0.575081467628479},{"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":0.49151644110679626},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4482375681400299},{"id":"https://openalex.org/C89623803","wikidata":"https://www.wikidata.org/wiki/Q12184","display_name":"Pandemic","level":5,"score":0.4288114309310913},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.42229825258255005},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4123097062110901},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.33135509490966797},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.26768365502357483},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.21080678701400757},{"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3844/jcssp.2020.620.625","doi":"https://doi.org/10.3844/jcssp.2020.620.625","is_oa":true,"landing_page_url":"https://doi.org/10.3844/jcssp.2020.620.625","pdf_url":"https://thescipub.com/pdf/jcssp.2020.620.625.pdf","source":{"id":"https://openalex.org/S50245893","display_name":"Journal of Computer Science","issn_l":"1549-3636","issn":["1549-3636","1552-6607"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","poland-20","russia-white-list-3"],"host_organization":"https://openalex.org/P4322697006","host_organization_name":"Science Publications","host_organization_lineage":["https://openalex.org/P4322697006"],"host_organization_lineage_names":["Science Publications"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computer Science","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.3844/jcssp.2020.620.625","doi":"https://doi.org/10.3844/jcssp.2020.620.625","is_oa":true,"landing_page_url":"https://doi.org/10.3844/jcssp.2020.620.625","pdf_url":"https://thescipub.com/pdf/jcssp.2020.620.625.pdf","source":{"id":"https://openalex.org/S50245893","display_name":"Journal of Computer Science","issn_l":"1549-3636","issn":["1549-3636","1552-6607"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","poland-20","russia-white-list-3"],"host_organization":"https://openalex.org/P4322697006","host_organization_name":"Science Publications","host_organization_lineage":["https://openalex.org/P4322697006"],"host_organization_lineage_names":["Science Publications"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computer Science","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.8048999905586243,"id":"https://metadata.un.org/sdg/3"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3024005803.pdf","grobid_xml":"https://content.openalex.org/works/W3024005803.grobid-xml"},"referenced_works_count":22,"referenced_works":["https://openalex.org/W1970001627","https://openalex.org/W2040870580","https://openalex.org/W2076063813","https://openalex.org/W2097117768","https://openalex.org/W2100495367","https://openalex.org/W2110798204","https://openalex.org/W2130306094","https://openalex.org/W2136922672","https://openalex.org/W2167510172","https://openalex.org/W2171128212","https://openalex.org/W2273396394","https://openalex.org/W2339885376","https://openalex.org/W2460515352","https://openalex.org/W2592929672","https://openalex.org/W2810392541","https://openalex.org/W2943530662","https://openalex.org/W3004906315","https://openalex.org/W3010278110","https://openalex.org/W3014337038","https://openalex.org/W3184998487","https://openalex.org/W4211003961","https://openalex.org/W6638444622"],"related_works":["https://openalex.org/W3196945474","https://openalex.org/W4220981768","https://openalex.org/W3206684681","https://openalex.org/W3095922816","https://openalex.org/W3127191370","https://openalex.org/W4408849034","https://openalex.org/W3203911199","https://openalex.org/W7065049983","https://openalex.org/W4389547172","https://openalex.org/W3131497798"],"abstract_inverted_index":{"In":[0],"the":[1,4,8,11,14,44,68,107,126],"end":[2],"of":[3,10,37,70,111,142,146],"year":[5,12],"2019":[6],"and":[7,58,114,156],"beginning":[9],"2020,":[13],"world":[15],"was":[16,23],"overwhelmed":[17],"by":[18],"a":[19,34,101],"medical":[20,85,91,117],"pandemic":[21],"that":[22,39,83],"not":[24],"previously":[25],"seen":[26],"which":[27],"is":[28,33,97,149,153],"known":[29],"Covid-19":[30],"(Coronavirus).Coronavirus":[31],"(CoV)":[32],"large":[35],"family":[36],"viruses":[38],"cause":[40],"illness":[41],"ranging":[42],"from":[43],"common":[45],"cold":[46],"to":[47,66],"more":[48],"severe":[49],"diseases":[50],"such":[51],"as":[52,100],"Middle":[53],"East":[54],"Respiratory":[55,61],"Syndrome":[56,62],"(MERS-CoV)":[57],"Severe":[59],"Acute":[60],"(SARS-CoV).This":[63],"paper":[64],"aims":[65],"improve":[67],"accuracy":[69,145],"detection":[71],"for":[72,78,87,103,128],"CT-Coronavirus":[73,90,130],"images":[74,138],"using":[75],"deep":[76],"learning":[77,96,115],"Convolutional":[79],"Neural":[80],"Networks":[81],"(CNNs)":[82],"helps":[84],"staffs":[86],"classification":[88,129],"chest":[89],"image":[92,118],"in":[93],"early":[94],"stage.Deep":[95],"successfully":[98],"used":[99],"tool":[102],"machine":[104],"learning,":[105],"where":[106],"CNNs":[108],"are":[109],"capable":[110],"automatically":[112],"extracting":[113],"features":[116],"dataset.This":[119],"research":[120],"retrains":[121],"GoogleNet":[122,148],"CNN":[123],"architecture":[124],"over":[125],"COVIDCT-Dataset":[127,134],"image.In":[131],"this":[132],"research,":[133],"contains":[135],"349":[136],"CT":[137],"containing":[139],"clinical":[140],"findings":[141],"COVID-19.The":[143],"validation":[144],"retraining":[147],"82.14%where":[150],"elapsed":[151],"time":[152],"74":[154],"min":[155],"37":[157],"sec.":[158]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":16},{"year":2022,"cited_by_count":14},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":1}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2020-05-21T00:00:00"}