{"id":"https://openalex.org/W4385478190","doi":"https://doi.org/10.1109/icasspw59220.2023.10192945","title":"Bag of Tricks of Hybrid Network for Covid-19 Detection of CT Scans","display_name":"Bag of Tricks of Hybrid Network for Covid-19 Detection of CT Scans","publication_year":2023,"publication_date":"2023-06-04","ids":{"openalex":"https://openalex.org/W4385478190","doi":"https://doi.org/10.1109/icasspw59220.2023.10192945"},"language":"en","primary_location":{"id":"doi:10.1109/icasspw59220.2023.10192945","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icasspw59220.2023.10192945","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW)","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/A5007305393","display_name":"Chih\u2013Chung Hsu","orcid":"https://orcid.org/0000-0002-2083-4438"},"institutions":[{"id":"https://openalex.org/I91807558","display_name":"National Cheng Kung University","ror":"https://ror.org/01b8kcc49","country_code":"TW","type":"education","lineage":["https://openalex.org/I91807558"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chih-Chung Hsu","raw_affiliation_strings":["National Cheng Kung University, No.1, University Rd,Center of Data Science, Miin Wu School of Computing,Tainan City,Taiwan","Center of Data Science, Miin Wu School of Computing, National Cheng Kung University, No.1, University Rd, Tainan City, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Cheng Kung University, No.1, University Rd,Center of Data Science, Miin Wu School of Computing,Tainan City,Taiwan","institution_ids":["https://openalex.org/I91807558"]},{"raw_affiliation_string":"Center of Data Science, Miin Wu School of Computing, National Cheng Kung University, No.1, University Rd, Tainan City, Taiwan","institution_ids":["https://openalex.org/I91807558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088689617","display_name":"Chih-Yu Jian","orcid":"https://orcid.org/0000-0001-6014-5154"},"institutions":[{"id":"https://openalex.org/I4210127362","display_name":"Nan Jeon University of Science and Technology","ror":"https://ror.org/02m77cm13","country_code":"TW","type":"education","lineage":["https://openalex.org/I4210127362"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chih-Yu Jian","raw_affiliation_strings":["No.1, University Rd,Institute of Data Science,Department of Statistics,Tainan City,Taiwan","Department of Statistics, Institute of Data Science, No.1, University Rd, Tainan City, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"No.1, University Rd,Institute of Data Science,Department of Statistics,Tainan City,Taiwan","institution_ids":["https://openalex.org/I4210127362"]},{"raw_affiliation_string":"Department of Statistics, Institute of Data Science, No.1, University Rd, Tainan City, Taiwan","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034075233","display_name":"Chia-Ming Lee","orcid":"https://orcid.org/0009-0004-6027-3083"},"institutions":[{"id":"https://openalex.org/I4210127362","display_name":"Nan Jeon University of Science and Technology","ror":"https://ror.org/02m77cm13","country_code":"TW","type":"education","lineage":["https://openalex.org/I4210127362"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chia-Ming Lee","raw_affiliation_strings":["No.1, University Rd,Institute of Data Science,Department of Statistics,Tainan City,Taiwan","Department of Statistics, Institute of Data Science, No.1, University Rd, Tainan City, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"No.1, University Rd,Institute of Data Science,Department of Statistics,Tainan City,Taiwan","institution_ids":["https://openalex.org/I4210127362"]},{"raw_affiliation_string":"Department of Statistics, Institute of Data Science, No.1, University Rd, Tainan City, Taiwan","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054511521","display_name":"Chi-Han Tsai","orcid":"https://orcid.org/0009-0003-8298-3230"},"institutions":[{"id":"https://openalex.org/I4210127362","display_name":"Nan Jeon University of Science and Technology","ror":"https://ror.org/02m77cm13","country_code":"TW","type":"education","lineage":["https://openalex.org/I4210127362"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chi-Han Tsai","raw_affiliation_strings":["No.1, University Rd,Institute of Data Science,Department of Statistics,Tainan City,Taiwan","Department of Statistics, Institute of Data Science, No.1, University Rd, Tainan City, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"No.1, University Rd,Institute of Data Science,Department of Statistics,Tainan City,Taiwan","institution_ids":["https://openalex.org/I4210127362"]},{"raw_affiliation_string":"Department of Statistics, Institute of Data Science, No.1, University Rd, Tainan City, Taiwan","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032444776","display_name":"Shen-Chieh Tai","orcid":"https://orcid.org/0000-0001-7115-4646"},"institutions":[{"id":"https://openalex.org/I4210127362","display_name":"Nan Jeon University of Science and Technology","ror":"https://ror.org/02m77cm13","country_code":"TW","type":"education","lineage":["https://openalex.org/I4210127362"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Shen-Chieh Tai","raw_affiliation_strings":["No.1, University Rd,Institute of Data Science,Department of Statistics,Tainan City,Taiwan","Department of Statistics, Institute of Data Science, No.1, University Rd, Tainan City, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"No.1, University Rd,Institute of Data Science,Department of Statistics,Tainan City,Taiwan","institution_ids":["https://openalex.org/I4210127362"]},{"raw_affiliation_string":"Department of Statistics, Institute of Data Science, No.1, University Rd, Tainan City, Taiwan","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.1611,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.83668527,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":"12","issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9998000264167786,"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":0.9998000264167786,"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/T12386","display_name":"Advanced X-ray and CT Imaging","score":0.9950000047683716,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9932000041007996,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/coronavirus-disease-2019","display_name":"Coronavirus disease 2019 (COVID-19)","score":0.753214955329895},{"id":"https://openalex.org/keywords/severe-acute-respiratory-syndrome-coronavirus-2","display_name":"Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)","score":0.5471212267875671},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5299031734466553},{"id":"https://openalex.org/keywords/2019-20-coronavirus-outbreak","display_name":"2019-20 coronavirus outbreak","score":0.49103736877441406},{"id":"https://openalex.org/keywords/virology","display_name":"Virology","score":0.28268927335739136},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.2158263623714447},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.07962989807128906},{"id":"https://openalex.org/keywords/outbreak","display_name":"Outbreak","score":0.054915815591812134}],"concepts":[{"id":"https://openalex.org/C3008058167","wikidata":"https://www.wikidata.org/wiki/Q84263196","display_name":"Coronavirus disease 2019 (COVID-19)","level":4,"score":0.753214955329895},{"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":0.5471212267875671},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5299031734466553},{"id":"https://openalex.org/C3006700255","wikidata":"https://www.wikidata.org/wiki/Q81068910","display_name":"2019-20 coronavirus outbreak","level":3,"score":0.49103736877441406},{"id":"https://openalex.org/C159047783","wikidata":"https://www.wikidata.org/wiki/Q7215","display_name":"Virology","level":1,"score":0.28268927335739136},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.2158263623714447},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.07962989807128906},{"id":"https://openalex.org/C116675565","wikidata":"https://www.wikidata.org/wiki/Q3241045","display_name":"Outbreak","level":2,"score":0.054915815591812134},{"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/icasspw59220.2023.10192945","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icasspw59220.2023.10192945","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW)","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":17,"referenced_works":["https://openalex.org/W2769215776","https://openalex.org/W2955425717","https://openalex.org/W3086650124","https://openalex.org/W3128633047","https://openalex.org/W3154692872","https://openalex.org/W3207987793","https://openalex.org/W3208040116","https://openalex.org/W4285027808","https://openalex.org/W4306313768","https://openalex.org/W4306742369","https://openalex.org/W4320036946","https://openalex.org/W4320041095","https://openalex.org/W6762718338","https://openalex.org/W6782312386","https://openalex.org/W6790428460","https://openalex.org/W6794368435","https://openalex.org/W6849585043"],"related_works":["https://openalex.org/W3036314732","https://openalex.org/W3009669391","https://openalex.org/W3176864053","https://openalex.org/W4206669628","https://openalex.org/W3171943759","https://openalex.org/W4292098121","https://openalex.org/W3154141118","https://openalex.org/W4388896133","https://openalex.org/W3031607536","https://openalex.org/W4205317059"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,76,98,105,130,150],"study":[4],"using":[5],"deep":[6,21],"learning":[7,22,63,101],"models":[8,127],"to":[9,28,52,67,159],"analyze":[10],"lung":[11],"Computed":[12],"Tomography":[13],"(CT)":[14],"images.":[15],"Traditionally":[16],"used":[17],"for":[18,81,111,145,155],"this":[19,58,72],"task,":[20],"frameworks":[23],"face":[24],"compatibility":[25],"issues":[26],"due":[27],"the":[29,40,54,92,121,160],"variances":[30],"in":[31],"CT":[32,83],"image":[33],"slice":[34,78,112],"numbers":[35],"and":[36,50,64,90,107,124,148],"resolutions":[37],"caused":[38],"by":[39,128],"use":[41],"of":[42],"different":[43],"machines.":[44],"Typically,":[45],"individual":[46],"slices":[47,89,144],"are":[48],"predicted":[49],"combined":[51],"obtain":[53],"final":[55],"result,":[56],"but":[57],"approach":[59],"lacks":[60],"slice-wise":[61],"feature":[62,100,113],"ultimately":[65,169],"leads":[66],"decreased":[68],"performance.":[69,94],"To":[70],"address":[71],"limitation,":[73],"we":[74,96,138,163],"propose":[75],"novel":[77],"selection":[79],"method":[80],"each":[82],"dataset,":[84],"effectively":[85],"filtering":[86],"out":[87],"uncertain":[88],"enhancing":[91],"model\u2019s":[93],"Moreover,":[95],"introduce":[97],"spatial-slice":[99],"technique":[102],"that":[103],"uses":[104],"conventional":[106],"efficient":[108],"backbone":[109],"model":[110],"training.":[114],"We":[115],"then":[116],"extract":[117],"one-dimensional":[118,140],"data":[119],"from":[120],"trained":[122],"COVID":[123],"non-COVID":[125],"classification":[126,132,167],"employing":[129],"dedicated":[131],"model.":[133],"Leveraging":[134],"these":[135],"experimental":[136],"steps,":[137],"integrate":[139],"features":[141],"with":[142],"multiple":[143],"channel":[146],"merging":[147],"employ":[149],"2D":[151],"convolutional":[152],"neural":[153],"network":[154],"classification.":[156],"In":[157],"addition":[158],"aforementioned":[161],"methods,":[162],"explore":[164],"various":[165],"high-performance":[166],"models,":[168],"achieving":[170],"promising":[171],"results.":[172]},"counts_by_year":[{"year":2024,"cited_by_count":3}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}