{"id":"https://openalex.org/W3157726815","doi":"https://doi.org/10.1109/icassp39728.2021.9414007","title":"Detecting Covid-19 and Community Acquired Pneumonia Using Chest CT Scan Images With Deep Learning","display_name":"Detecting Covid-19 and Community Acquired Pneumonia Using Chest CT Scan Images With Deep Learning","publication_year":2021,"publication_date":"2021-05-13","ids":{"openalex":"https://openalex.org/W3157726815","doi":"https://doi.org/10.1109/icassp39728.2021.9414007","mag":"3157726815"},"language":"en","primary_location":{"id":"doi:10.1109/icassp39728.2021.9414007","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp39728.2021.9414007","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5030635177","display_name":"Shubham Chaudhary","orcid":"https://orcid.org/0000-0003-3800-9310"},"institutions":[{"id":"https://openalex.org/I4210127441","display_name":"Indian Institute of Technology Jammu","ror":"https://ror.org/02f0vsw63","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210127441"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Shubham Chaudhary","raw_affiliation_strings":["Indian Institute of Technology, Jammu, India"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology, Jammu, India","institution_ids":["https://openalex.org/I4210127441"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076765175","display_name":"Sadbhawna Sadbhawna","orcid":null},"institutions":[{"id":"https://openalex.org/I4210127441","display_name":"Indian Institute of Technology Jammu","ror":"https://ror.org/02f0vsw63","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210127441"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sadbhawna Sadbhawna","raw_affiliation_strings":["Indian Institute of Technology, Jammu, India"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology, Jammu, India","institution_ids":["https://openalex.org/I4210127441"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019388627","display_name":"Vinit Jakhetiya","orcid":"https://orcid.org/0000-0002-8325-4908"},"institutions":[{"id":"https://openalex.org/I4210127441","display_name":"Indian Institute of Technology Jammu","ror":"https://ror.org/02f0vsw63","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210127441"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Vinit Jakhetiya","raw_affiliation_strings":["Indian Institute of Technology, Jammu, India"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology, Jammu, India","institution_ids":["https://openalex.org/I4210127441"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026675739","display_name":"Badri Narayan Subudhi","orcid":"https://orcid.org/0000-0002-4378-0065"},"institutions":[{"id":"https://openalex.org/I4210127441","display_name":"Indian Institute of Technology Jammu","ror":"https://ror.org/02f0vsw63","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210127441"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Badri N Subudhi","raw_affiliation_strings":["Indian Institute of Technology, Jammu, India"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology, Jammu, India","institution_ids":["https://openalex.org/I4210127441"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027834485","display_name":"Ujjwal Baid","orcid":"https://orcid.org/0000-0001-5246-2088"},"institutions":[{"id":"https://openalex.org/I79576946","display_name":"University of Pennsylvania","ror":"https://ror.org/00b30xv10","country_code":"US","type":"education","lineage":["https://openalex.org/I79576946"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ujjwal Baid","raw_affiliation_strings":["University of Pennsylvania, PA, USA"],"affiliations":[{"raw_affiliation_string":"University of Pennsylvania, PA, USA","institution_ids":["https://openalex.org/I79576946"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010646067","display_name":"Sharath Chandra Guntuku","orcid":"https://orcid.org/0000-0002-2929-0035"},"institutions":[{"id":"https://openalex.org/I79576946","display_name":"University of Pennsylvania","ror":"https://ror.org/00b30xv10","country_code":"US","type":"education","lineage":["https://openalex.org/I79576946"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sharath Chandra Guntuku","raw_affiliation_strings":["University of Pennsylvania, PA, USA"],"affiliations":[{"raw_affiliation_string":"University of Pennsylvania, PA, USA","institution_ids":["https://openalex.org/I79576946"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5030635177"],"corresponding_institution_ids":["https://openalex.org/I4210127441"],"apc_list":null,"apc_paid":null,"fwci":6.0479,"has_fulltext":false,"cited_by_count":50,"citation_normalized_percentile":{"value":0.97016861,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"8583","last_page":"8587"},"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9866999983787537,"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/T10202","display_name":"Lung Cancer Diagnosis and Treatment","score":0.9815999865531921,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"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":0.7631798386573792},{"id":"https://openalex.org/keywords/coronavirus-disease-2019","display_name":"Coronavirus disease 2019 (COVID-19)","score":0.7433645725250244},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6805882453918457},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.614811897277832},{"id":"https://openalex.org/keywords/stage","display_name":"Stage (stratigraphy)","score":0.5546063780784607},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5279009938240051},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5270407795906067},{"id":"https://openalex.org/keywords/computed-tomography","display_name":"Computed tomography","score":0.4878525733947754},{"id":"https://openalex.org/keywords/community-acquired-pneumonia","display_name":"Community-acquired pneumonia","score":0.4695482850074768},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.44071608781814575},{"id":"https://openalex.org/keywords/pneumonia","display_name":"Pneumonia","score":0.40499454736709595},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.32730621099472046},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.18221426010131836},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.10598984360694885}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7631798386573792},{"id":"https://openalex.org/C3008058167","wikidata":"https://www.wikidata.org/wiki/Q84263196","display_name":"Coronavirus disease 2019 (COVID-19)","level":4,"score":0.7433645725250244},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6805882453918457},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.614811897277832},{"id":"https://openalex.org/C146357865","wikidata":"https://www.wikidata.org/wiki/Q1123245","display_name":"Stage (stratigraphy)","level":2,"score":0.5546063780784607},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5279009938240051},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5270407795906067},{"id":"https://openalex.org/C544519230","wikidata":"https://www.wikidata.org/wiki/Q32566","display_name":"Computed tomography","level":2,"score":0.4878525733947754},{"id":"https://openalex.org/C2776102371","wikidata":"https://www.wikidata.org/wiki/Q460030","display_name":"Community-acquired pneumonia","level":3,"score":0.4695482850074768},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.44071608781814575},{"id":"https://openalex.org/C2777914695","wikidata":"https://www.wikidata.org/wiki/Q12192","display_name":"Pneumonia","level":2,"score":0.40499454736709595},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.32730621099472046},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.18221426010131836},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.10598984360694885},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"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/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp39728.2021.9414007","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp39728.2021.9414007","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1548274032","https://openalex.org/W2062118960","https://openalex.org/W2183341477","https://openalex.org/W2302255633","https://openalex.org/W2955425717","https://openalex.org/W2962820470","https://openalex.org/W2963446712","https://openalex.org/W3008443627","https://openalex.org/W3011414569","https://openalex.org/W3012774668","https://openalex.org/W3014337038","https://openalex.org/W3019613751","https://openalex.org/W3049367286","https://openalex.org/W3049757379","https://openalex.org/W3086039674","https://openalex.org/W3089491067","https://openalex.org/W3105081694","https://openalex.org/W3117496584","https://openalex.org/W3129576291","https://openalex.org/W3136605096","https://openalex.org/W3137298551","https://openalex.org/W3164076340","https://openalex.org/W6686164453","https://openalex.org/W6698183232","https://openalex.org/W6725739302","https://openalex.org/W6762718338","https://openalex.org/W6774960221","https://openalex.org/W6775376942","https://openalex.org/W6782075596","https://openalex.org/W6783840393","https://openalex.org/W6784801752"],"related_works":["https://openalex.org/W2424689884","https://openalex.org/W2152296659","https://openalex.org/W4324144766","https://openalex.org/W2949380608","https://openalex.org/W2553858235","https://openalex.org/W2352957210","https://openalex.org/W2380056497","https://openalex.org/W2031947569","https://openalex.org/W2425643172","https://openalex.org/W34953283"],"abstract_inverted_index":{"We":[0],"propose":[1],"a":[2,40,49,63,96],"two-stage":[3,126],"Convolutional":[4],"Neural":[5],"Network":[6],"(CNN)":[7],"based":[8],"classification":[9,52,65,127],"framework":[10,61,78,128],"for":[11,88],"detecting":[12],"COVID-19":[13,34,72,92,122],"and":[14,73,93,108,135,140,146,157],"Community":[15],"Acquired":[16],"Pneumonia":[17],"(CAP)":[18],"using":[19,39,55],"the":[20,28,46,76,80,103,112,154],"chest":[21],"Computed":[22],"Tomography":[23],"(CT)":[24],"scan":[25],"images.":[26],"In":[27],"first":[29,152],"stage,":[30,48],"an":[31,84,130],"infection":[32],"-":[33],"or":[35],"CAP,":[36,94,107,145],"is":[37,53],"detected":[38],"pre-trained":[41],"DenseNet":[42],"architecture.":[43,57],"Then,":[44],"in":[45,153],"second":[47],"fine-grained":[50],"three-way":[51,105],"done":[54],"EfficientNet":[56],"The":[58],"proposed":[59,77,125],"COVID+CAP-CNN":[60],"achieved":[62,129],"slice-level":[64],"accuracy":[66,98,132],"of":[67,91,99,133,137],"over":[68,100],"94%":[69],"at":[70,102,142,162],"identifying":[71],"CAP.":[74],"Further,":[75],"has":[79],"potential":[81],"to":[82,150],"be":[83],"initial":[85],"screening":[86],"tool":[87],"differential":[89],"diagnosis":[90],"achieving":[95],"validation":[97],"89.3%":[101],"finer":[104],"COVID-19,":[106,144],"healthy":[109],"classification.":[110],"Within":[111],"IEEE":[113],"ICASSP":[114],"2021":[115],"Signal":[116],"Processing":[117],"Grand":[118],"Challenge":[119],"(SPGC)":[120],"on":[121],"Diagnosis,":[123],"our":[124],"overall":[131],"90%":[134],"sensitivity":[136],".857,":[138],".9,":[139],".942":[141],"distinguishing":[143],"normal":[147],"individuals":[148],"respectively,":[149],"rank":[151],"evaluation.":[155],"Code":[156],"model":[158],"weights":[159],"are":[160],"available":[161],"https://github.com/shubhamchaudhary2015/ct_covid19_cap_cnn":[163]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":20},{"year":2022,"cited_by_count":11},{"year":2021,"cited_by_count":8}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}