{"id":"https://openalex.org/W4211030014","doi":"https://doi.org/10.1109/tii.2022.3149939","title":"An Intelligent Multisampling Tensor Model for Oral Cancer Classification","display_name":"An Intelligent Multisampling Tensor Model for Oral Cancer Classification","publication_year":2022,"publication_date":"2022-02-09","ids":{"openalex":"https://openalex.org/W4211030014","doi":"https://doi.org/10.1109/tii.2022.3149939"},"language":"en","primary_location":{"id":"doi:10.1109/tii.2022.3149939","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2022.3149939","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"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 Industrial Informatics","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/A5009018575","display_name":"Chenxi Huang","orcid":"https://orcid.org/0000-0002-2100-0259"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenxi Huang","raw_affiliation_strings":["School of informatics, Xiamen University, Xiamen, China"],"raw_orcid":"https://orcid.org/0000-0002-2100-0259","affiliations":[{"raw_affiliation_string":"School of informatics, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063293419","display_name":"Guokai Zhang","orcid":"https://orcid.org/0000-0002-0952-8325"},"institutions":[{"id":"https://openalex.org/I148128674","display_name":"University of Shanghai for Science and Technology","ror":"https://ror.org/00ay9v204","country_code":"CN","type":"education","lineage":["https://openalex.org/I148128674"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guokai Zhang","raw_affiliation_strings":["School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-0952-8325","affiliations":[{"raw_affiliation_string":"School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai, China","institution_ids":["https://openalex.org/I148128674"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101900248","display_name":"Sirui Chen","orcid":"https://orcid.org/0000-0001-9918-6850"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sirui Chen","raw_affiliation_strings":["School of Software Engineering, Tongji University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-9918-6850","affiliations":[{"raw_affiliation_string":"School of Software Engineering, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045093520","display_name":"Victor Hugo C. de Albuquerque","orcid":"https://orcid.org/0000-0003-3886-4309"},"institutions":[{"id":"https://openalex.org/I243754102","display_name":"Universidade Federal do Cear\u00e1","ror":"https://ror.org/03srtnf24","country_code":"BR","type":"education","lineage":["https://openalex.org/I243754102"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Victor Hugo C. de Albuquerque","raw_affiliation_strings":["Department of Teleinformatics Engineering, Federal University of Cear&#x00E1;, Fortaleza, Brazil"],"raw_orcid":"https://orcid.org/0000-0003-3886-4309","affiliations":[{"raw_affiliation_string":"Department of Teleinformatics Engineering, Federal University of Cear&#x00E1;, Fortaleza, Brazil","institution_ids":["https://openalex.org/I243754102"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.2306,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.89250207,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"18","issue":"11","first_page":"7853","last_page":"7861"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","score":0.9909999966621399,"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"}},"topics":[{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","score":0.9909999966621399,"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/T12303","display_name":"Tensor decomposition and applications","score":0.9872000217437744,"subfield":{"id":"https://openalex.org/subfields/2605","display_name":"Computational Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9861999750137329,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6529600620269775},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6312460899353027},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5507017374038696},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.48328855633735657},{"id":"https://openalex.org/keywords/cancer-detection","display_name":"Cancer detection","score":0.4649010896682739},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4189659655094147},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.39309582114219666},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.1391761600971222}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6529600620269775},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6312460899353027},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5507017374038696},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.48328855633735657},{"id":"https://openalex.org/C2985322473","wikidata":"https://www.wikidata.org/wiki/Q3044843","display_name":"Cancer detection","level":3,"score":0.4649010896682739},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4189659655094147},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.39309582114219666},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.1391761600971222},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tii.2022.3149939","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2022.3149939","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"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 Industrial Informatics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G833345558","display_name":null,"funder_award_id":"62002304","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"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W228866354","https://openalex.org/W1522301498","https://openalex.org/W1930886120","https://openalex.org/W2054639100","https://openalex.org/W2055957434","https://openalex.org/W2079426372","https://openalex.org/W2160536005","https://openalex.org/W2293506269","https://openalex.org/W2333796428","https://openalex.org/W2396770278","https://openalex.org/W2412479940","https://openalex.org/W2549975402","https://openalex.org/W2585958134","https://openalex.org/W2782213776","https://openalex.org/W2783918955","https://openalex.org/W2908867887","https://openalex.org/W2922015385","https://openalex.org/W2923124012","https://openalex.org/W2942782905","https://openalex.org/W2945414752","https://openalex.org/W2951542569","https://openalex.org/W2963446712","https://openalex.org/W2998732610","https://openalex.org/W3000134627","https://openalex.org/W3004530780","https://openalex.org/W3049593121","https://openalex.org/W3084473655","https://openalex.org/W3100068159","https://openalex.org/W3103841689","https://openalex.org/W3157910549","https://openalex.org/W4243150065","https://openalex.org/W6631190155","https://openalex.org/W6683971644","https://openalex.org/W6703049675","https://openalex.org/W6712172391","https://openalex.org/W6729089581","https://openalex.org/W6761783162","https://openalex.org/W6764213378","https://openalex.org/W6775917861"],"related_works":["https://openalex.org/W2601157893","https://openalex.org/W2373006798","https://openalex.org/W2131735617","https://openalex.org/W2056912418","https://openalex.org/W2123759770","https://openalex.org/W2033213769","https://openalex.org/W4312376745","https://openalex.org/W2136016640","https://openalex.org/W2049538278","https://openalex.org/W2886173746"],"abstract_inverted_index":{"Oral":[0],"cancer":[1,45,79,160],"has":[2],"been":[3],"one":[4],"of":[5,26,133],"the":[6,11,21,27,30,35,57,93,103,139,163],"most":[7],"mortal":[8],"diseases":[9],"in":[10,66],"world,":[12],"and":[13,15,23,40,43,80,111,114,162],"accurate":[14],"timely":[16],"treatment":[17],"will":[18],"efficiently":[19],"improve":[20],"survival":[22],"cure":[24],"rate":[25],"patients.":[28],"However,":[29],"traditional":[31],"diagnosis":[32],"ways":[33],"by":[34,96,131],"clinicians":[36],"could":[37,170],"be":[38],"laborious":[39],"easily":[41],"misdiagnosed,":[42],"oral":[44,78,158],"usually":[46],"with":[47],"different":[48],"morphological":[49],"features,":[50,113],"which":[51,101,137],"makes":[52],"it":[53],"challenging":[54],"to":[55,76,105,122,146],"achieve":[56,77,171],"high":[58,143],"accuracy":[59],"classification":[60,82,173],"automatically.":[61],"To":[62],"address":[63],"this":[64,67],"challenge,":[65],"article,":[68],"we":[69,152],"propose":[70],"an":[71],"intelligent":[72],"multisampling":[73],"tensor":[74],"model":[75,104],"cyst":[81],"from":[83],"magnetic":[84],"resonance":[85],"imaging":[86],"(MRI).":[87],"Specially,":[88],"our":[89,154,168],"approach":[90,169],"first":[91],"encodes":[92],"input":[94,140],"image":[95],"four":[97],"simple":[98],"sampling":[99],"operations,":[100],"enables":[102],"learn":[106],"more":[107],"regional,":[108],"global,":[109],"influential,":[110],"correlative":[112],"then":[115],"a":[116,148],"representation":[117,141],"fusion":[118],"strategy":[119],"is":[120],"adopted":[121],"fuse":[123],"those":[124,128],"extracted":[125],"representations.":[126],"Afterward,":[127],"are":[129],"contracted":[130],"sequences":[132],"matrix":[134],"product":[135],"states,":[136],"map":[138],"into":[142],"dimensional":[144],"space":[145],"conduct":[147],"classifier":[149],"operation.":[150],"Finally,":[151],"evaluate":[153],"proposed":[155],"method":[156],"on":[157],"MRI":[159],"data,":[161],"experimental":[164],"result":[165],"demonstrates":[166],"that":[167],"competitive":[172],"results.":[174]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":6}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
