{"id":"https://openalex.org/W4388125276","doi":"https://doi.org/10.1109/thms.2023.3309256","title":"Mouth Cavity Visual Analysis Based on Deep Learning for Oropharyngeal Swab Robot Sampling","display_name":"Mouth Cavity Visual Analysis Based on Deep Learning for Oropharyngeal Swab Robot Sampling","publication_year":2023,"publication_date":"2023-11-01","ids":{"openalex":"https://openalex.org/W4388125276","doi":"https://doi.org/10.1109/thms.2023.3309256"},"language":"en","primary_location":{"id":"doi:10.1109/thms.2023.3309256","is_oa":false,"landing_page_url":"https://doi.org/10.1109/thms.2023.3309256","pdf_url":null,"source":{"id":"https://openalex.org/S2476799526","display_name":"IEEE Transactions on Human-Machine Systems","issn_l":"2168-2291","issn":["2168-2291","2168-2305"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Human-Machine Systems","raw_type":"journal-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/A5043311744","display_name":"Qing Gao","orcid":"https://orcid.org/0000-0002-5395-6175"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]},{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qing Gao","raw_affiliation_strings":["School of Electronics and Communication Engineering, Shenzhen Campus of Sun Yat-sen University, Shenzhen, China","Shenzhen Institute of Artificial Intelligence and Robotics for Society, The Chinese University of Hong Kong, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-5395-6175","affiliations":[{"raw_affiliation_string":"School of Electronics and Communication Engineering, Shenzhen Campus of Sun Yat-sen University, Shenzhen, China","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"Shenzhen Institute of Artificial Intelligence and Robotics for Society, The Chinese University of Hong Kong, Shenzhen, China","institution_ids":["https://openalex.org/I4210116924"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056287221","display_name":"Zhaojie Ju","orcid":"https://orcid.org/0000-0002-9524-7609"},"institutions":[{"id":"https://openalex.org/I63072094","display_name":"University of Portsmouth","ror":"https://ror.org/03ykbk197","country_code":"GB","type":"education","lineage":["https://openalex.org/I63072094"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Zhaojie Ju","raw_affiliation_strings":["School of Computing, University of Portsmouth, Portsmouth, U.K"],"raw_orcid":"https://orcid.org/0000-0002-9524-7609","affiliations":[{"raw_affiliation_string":"School of Computing, University of Portsmouth, Portsmouth, U.K","institution_ids":["https://openalex.org/I63072094"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102007341","display_name":"Yongquan Chen","orcid":"https://orcid.org/0000-0003-2493-6033"},"institutions":[{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongquan Chen","raw_affiliation_strings":["Shenzhen Institute of Artificial Intelligence and Robotics for Society, The Chinese University of Hong Kong, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0003-2493-6033","affiliations":[{"raw_affiliation_string":"Shenzhen Institute of Artificial Intelligence and Robotics for Society, The Chinese University of Hong Kong, Shenzhen, China","institution_ids":["https://openalex.org/I4210116924"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101591104","display_name":"Tianwei Zhang","orcid":"https://orcid.org/0000-0002-1462-5402"},"institutions":[{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianwei Zhang","raw_affiliation_strings":["Shenzhen Institute of Artificial Intelligence and Robotics for Society, The Chinese University of Hong Kong, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-1462-5402","affiliations":[{"raw_affiliation_string":"Shenzhen Institute of Artificial Intelligence and Robotics for Society, The Chinese University of Hong Kong, Shenzhen, China","institution_ids":["https://openalex.org/I4210116924"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023270824","display_name":"Yuquan Leng","orcid":"https://orcid.org/0000-0003-4063-4545"},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuquan Leng","raw_affiliation_strings":["Department of Mechanical and Energy Engineering, Southern University of Science and Technology, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0003-4063-4545","affiliations":[{"raw_affiliation_string":"Department of Mechanical and Energy Engineering, Southern University of Science and Technology, Shenzhen, China","institution_ids":["https://openalex.org/I3045169105"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5043311744"],"corresponding_institution_ids":["https://openalex.org/I157773358","https://openalex.org/I4210116924"],"apc_list":null,"apc_paid":null,"fwci":0.4473,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.67569973,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":"53","issue":"6","first_page":"1083","last_page":"1092"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9957000017166138,"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":0.9957000017166138,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9724000096321106,"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"}},{"id":"https://openalex.org/T11452","display_name":"Oral Health Pathology and Treatment","score":0.9660999774932861,"subfield":{"id":"https://openalex.org/subfields/3506","display_name":"Periodontics"},"field":{"id":"https://openalex.org/fields/35","display_name":"Dentistry"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.762523353099823},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6612280607223511},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6517170667648315},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.49063506722450256},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4854446053504944},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4796921908855438},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.44443008303642273},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4270128309726715},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4216206669807434},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4106754958629608}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.762523353099823},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6612280607223511},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6517170667648315},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.49063506722450256},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4854446053504944},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4796921908855438},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.44443008303642273},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4270128309726715},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4216206669807434},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4106754958629608},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/thms.2023.3309256","is_oa":false,"landing_page_url":"https://doi.org/10.1109/thms.2023.3309256","pdf_url":null,"source":{"id":"https://openalex.org/S2476799526","display_name":"IEEE Transactions on Human-Machine Systems","issn_l":"2168-2291","issn":["2168-2291","2168-2305"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Human-Machine Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2295917914","display_name":null,"funder_award_id":"2022A1515011431","funder_id":"https://openalex.org/F4320337111","funder_display_name":"Basic and Applied Basic Research Foundation of Guangdong Province"},{"id":"https://openalex.org/G6267139980","display_name":null,"funder_award_id":"2023A1515011347","funder_id":"https://openalex.org/F4320337111","funder_display_name":"Basic and Applied Basic Research Foundation of Guangdong Province"},{"id":"https://openalex.org/G8908953205","display_name":null,"funder_award_id":"62006204","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320337111","display_name":"Basic and Applied Basic Research Foundation of Guangdong Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1536680647","https://openalex.org/W1861492603","https://openalex.org/W1903029394","https://openalex.org/W2111268602","https://openalex.org/W2125761103","https://openalex.org/W2193145675","https://openalex.org/W2205594985","https://openalex.org/W2302255633","https://openalex.org/W2333795001","https://openalex.org/W2549139847","https://openalex.org/W2565639579","https://openalex.org/W2775795276","https://openalex.org/W2884585870","https://openalex.org/W2885605338","https://openalex.org/W2913308533","https://openalex.org/W2921151905","https://openalex.org/W2963150697","https://openalex.org/W2963351448","https://openalex.org/W2963855133","https://openalex.org/W2964241181","https://openalex.org/W3012291630","https://openalex.org/W3012573144","https://openalex.org/W3012780255","https://openalex.org/W3013933578","https://openalex.org/W3014367186","https://openalex.org/W3018757597","https://openalex.org/W3034971973","https://openalex.org/W3106250896","https://openalex.org/W3130506077","https://openalex.org/W3135664767","https://openalex.org/W3158446466","https://openalex.org/W3206846198","https://openalex.org/W3211101222","https://openalex.org/W4293584584","https://openalex.org/W6714138976","https://openalex.org/W6750227808","https://openalex.org/W6760424586","https://openalex.org/W6776172991","https://openalex.org/W6777046832"],"related_works":["https://openalex.org/W4375867731","https://openalex.org/W4391621807","https://openalex.org/W2611989081","https://openalex.org/W4321487865","https://openalex.org/W4313906399","https://openalex.org/W4226493464","https://openalex.org/W3133861977","https://openalex.org/W2951211570","https://openalex.org/W3103566983","https://openalex.org/W1522196789"],"abstract_inverted_index":{"The":[0,168],"visual":[1],"analysis":[2,45],"of":[3,19,27,79,121,136,202],"the":[4,12,20,65,77,85,94,105,111,119,148,157,165,184,189,193,200,209],"mouth":[5,21,36,43,59,70,81,95,149,203],"cavity":[6,37,44,60,71,82,96,150,204],"plays":[7],"a":[8,42,58,80,124,139],"significant":[9],"role":[10],"in":[11,34,93,214],"pathogen":[13],"specimen":[14],"sampling":[15],"and":[16,57,73,89,102,156,174],"disease":[17],"diagnosis":[18],"cavity.":[22],"Aiming":[23],"at":[24],"performance":[25,120],"defects":[26],"general":[28],"detectors":[29],"based":[30,109],"on":[31,110,183],"deep":[32],"learning":[33],"detecting":[35,72,88],"components,":[38],"this":[39],"article":[40],"proposes":[41],"network":[46,143],"(MCNet),":[47],"which":[48,63],"is":[49,64],"an":[50,215],"instance":[51,205],"segmentation":[52,176],"method":[53],"with":[54,188,199],"spatial":[55,151],"features,":[56],"dataset":[61,68],"(MCData),":[62],"first":[66],"available":[67],"for":[69,87,99,219],"segmentation.":[74,206],"First,":[75],"given":[76],"lack":[78],"image":[83],"dataset,":[84],"MCData":[86,190],"segmenting":[90],"key":[91],"parts":[92],"was":[97,107,128,145],"developed":[98],"model":[100],"training":[101],"testing.":[103],"Second,":[104],"MCNet":[106,169,195,210],"designed":[108],"mask":[112],"region-based":[113],"convolutional":[114],"neural":[115],"network.":[116],"To":[117],"improve":[118],"feature":[122],"extraction,":[123],"parallel":[125],"multiattention":[126],"module":[127],"designed.":[129,146],"Besides,":[130],"to":[131,163],"solve":[132],"low":[133],"detection":[134,158,166,172],"accuracy":[135,173,177],"small-sized":[137],"objects,":[138],"multiscale":[140],"region":[141],"proposal":[142],"structure":[144,152],"Then,":[147],"features":[153],"were":[154],"introduced,":[155],"confidence":[159],"could":[160],"be":[161],"refined":[162],"increase":[164],"accuracy.":[167],"achieved":[170],"81.5%":[171],"78.1%":[175],"(intersection":[178],"over":[179],"union":[180],"=":[181],"0.50:0.95)":[182],"MCData.":[185],"Comparative":[186],"experiments":[187],"showed":[191],"that":[192],"proposed":[194],"outperformed":[196],"state-of-the-art":[197],"approaches":[198],"task":[201],"In":[207],"addition,":[208],"has":[211],"been":[212],"used":[213],"oropharyngeal":[216,221],"swab":[217],"robot":[218],"COVID-19":[220],"sampling.":[222]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
