{"id":"https://openalex.org/W4281633760","doi":"https://doi.org/10.3390/sym14061129","title":"A Few-Shot Dental Object Detection Method Based on a Priori Knowledge Transfer","display_name":"A Few-Shot Dental Object Detection Method Based on a Priori Knowledge Transfer","publication_year":2022,"publication_date":"2022-05-30","ids":{"openalex":"https://openalex.org/W4281633760","doi":"https://doi.org/10.3390/sym14061129"},"language":"en","primary_location":{"id":"doi:10.3390/sym14061129","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym14061129","pdf_url":"https://www.mdpi.com/2073-8994/14/6/1129/pdf?version=1653907012","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Symmetry","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2073-8994/14/6/1129/pdf?version=1653907012","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5018928124","display_name":"Han Wu","orcid":"https://orcid.org/0000-0003-0970-3151"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Han Wu","raw_affiliation_strings":["School of Cyberspace, Hangzhou Dianzi University, Hangzhou 310018, China"],"affiliations":[{"raw_affiliation_string":"School of Cyberspace, Hangzhou Dianzi University, Hangzhou 310018, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100738665","display_name":"Zhendong Wu","orcid":"https://orcid.org/0000-0002-1870-9558"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhendong Wu","raw_affiliation_strings":["School of Cyberspace, Hangzhou Dianzi University, Hangzhou 310018, China"],"affiliations":[{"raw_affiliation_string":"School of Cyberspace, Hangzhou Dianzi University, Hangzhou 310018, China","institution_ids":["https://openalex.org/I50760025"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100738665"],"corresponding_institution_ids":["https://openalex.org/I50760025"],"apc_list":{"value":2000,"currency":"CHF","value_usd":2165},"apc_paid":{"value":2000,"currency":"CHF","value_usd":2165},"fwci":0.7435,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.69081795,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"14","issue":"6","first_page":"1129","last_page":"1129"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11363","display_name":"Dental Radiography and Imaging","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/3504","display_name":"Oral Surgery"},"field":{"id":"https://openalex.org/fields/35","display_name":"Dentistry"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11363","display_name":"Dental Radiography and Imaging","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/3504","display_name":"Oral Surgery"},"field":{"id":"https://openalex.org/fields/35","display_name":"Dentistry"},"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":0.9858999848365784,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9790999889373779,"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/computer-science","display_name":"Computer science","score":0.7058190703392029},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6492637991905212},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6299976110458374},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5840640664100647},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.5293078422546387},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.47370192408561707},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4693029224872589},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.43761202692985535},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.41931378841400146},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3911290764808655}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7058190703392029},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6492637991905212},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6299976110458374},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5840640664100647},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.5293078422546387},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.47370192408561707},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4693029224872589},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.43761202692985535},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.41931378841400146},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3911290764808655},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","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},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/sym14061129","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym14061129","pdf_url":"https://www.mdpi.com/2073-8994/14/6/1129/pdf?version=1653907012","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Symmetry","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:7f5a242db7574443b561f77f28aa5b3d","is_oa":true,"landing_page_url":"https://doaj.org/article/7f5a242db7574443b561f77f28aa5b3d","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Symmetry, Vol 14, Iss 6, p 1129 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2073-8994/14/6/1129/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/sym14061129","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Symmetry; Volume 14; Issue 6; Pages: 1129","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/sym14061129","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym14061129","pdf_url":"https://www.mdpi.com/2073-8994/14/6/1129/pdf?version=1653907012","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Symmetry","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.5199999809265137,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4281633760.pdf","grobid_xml":"https://content.openalex.org/works/W4281633760.grobid-xml"},"referenced_works_count":54,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1686810756","https://openalex.org/W1901129140","https://openalex.org/W2163605009","https://openalex.org/W2193145675","https://openalex.org/W2275865840","https://openalex.org/W2395611524","https://openalex.org/W2555989946","https://openalex.org/W2744710572","https://openalex.org/W2754735984","https://openalex.org/W2788210750","https://openalex.org/W2800706558","https://openalex.org/W2804967795","https://openalex.org/W2806070179","https://openalex.org/W2809324239","https://openalex.org/W2883089513","https://openalex.org/W2899380081","https://openalex.org/W2910913949","https://openalex.org/W2910922521","https://openalex.org/W2918471352","https://openalex.org/W2920073091","https://openalex.org/W2951037649","https://openalex.org/W2953061686","https://openalex.org/W2955353723","https://openalex.org/W2958187724","https://openalex.org/W2964227007","https://openalex.org/W2971176085","https://openalex.org/W2979436696","https://openalex.org/W2980254319","https://openalex.org/W2996583130","https://openalex.org/W2997007780","https://openalex.org/W3006982732","https://openalex.org/W3007268491","https://openalex.org/W3015727670","https://openalex.org/W3018386144","https://openalex.org/W3021337333","https://openalex.org/W3024640380","https://openalex.org/W3034974675","https://openalex.org/W3035268411","https://openalex.org/W3035513921","https://openalex.org/W3047026765","https://openalex.org/W3106250896","https://openalex.org/W3110528336","https://openalex.org/W3132757466","https://openalex.org/W3169708801","https://openalex.org/W3174396556","https://openalex.org/W3175373796","https://openalex.org/W3194193742","https://openalex.org/W4213450898","https://openalex.org/W4214724741","https://openalex.org/W4220805960","https://openalex.org/W6639824700","https://openalex.org/W6747386911","https://openalex.org/W6756851690"],"related_works":["https://openalex.org/W4388311650","https://openalex.org/W5922282","https://openalex.org/W1974056099","https://openalex.org/W4245343541","https://openalex.org/W2386077341","https://openalex.org/W563589758","https://openalex.org/W62490179","https://openalex.org/W2954004777","https://openalex.org/W3112772842","https://openalex.org/W1522196789"],"abstract_inverted_index":{"With":[0],"the":[1,31,79,86,90,103,106,109,113,119,131,135,141,145,149,155,161,166,169,175,182,188,195,198,201,209,213,217,226,230,237,249,254,260,276,300],"continuous":[2],"improvement":[3],"in":[4,24],"oral":[5,11],"health":[6,12],"awareness,":[7],"people\u2019s":[8],"demand":[9],"for":[10,52],"diagnosis":[13],"has":[14],"also":[15],"increased.":[16],"Dental":[17],"object":[18,49,136,146,162,184,211,256,284],"detection":[19,50,257,285],"is":[20,124,271],"a":[21,47,65,70,96,120,125,222,241],"key":[22,132,142],"step":[23],"automated":[25],"dental":[26,48,150,156,210],"diagnosis;":[27],"however,":[28],"because":[29],"of":[30,33,81,102,105,134,144,168,181,187,228,275],"particularity":[32],"medical":[34,41],"data,":[35],"researchers":[36],"usually":[37],"cannot":[38],"obtain":[39,160],"sufficient":[40],"data.":[42],"Therefore,":[43],"this":[44],"study":[45],"proposes":[46],"method":[51,88,190],"small-size":[53],"datasets":[54],"based":[55],"on":[56],"teeth":[57,91,107],"semantics,":[58],"structural":[59],"information":[60,99,123],"feature":[61],"extraction,":[62],"and":[63,74,108,154,178,216,290,296],"an":[64,95],"priori":[66,97,121,223,242],"knowledge":[67,98,122,243],"migration,":[68],"called":[69],"segmentation,":[71,73],"points,":[72],"classification":[75,196,235,239,251],"network":[76,114,234,282],"(SPSC-NET).":[77],"In":[78,194],"region":[80],"interest":[82],"area":[83],"extraction":[84],"method,":[85,197],"SPSC-NET":[87,189,199],"converts":[89],"X-ray":[92],"image":[93,153,164,205,220],"into":[94],"image,":[100,215],"composed":[101],"edges":[104],"semantic":[110,151,218],"segmentation":[111,152,204,219],"image;":[112],"structure":[115],"used":[116],"to":[117,159],"extract":[118],"symmetric":[126],"structure,":[127],"which":[128,270],"then":[129],"generates":[130],"points":[133,143],"instance.":[137],"Next,":[138],"it":[139],"uses":[140],"instance":[147,163,203],"(i.e.,":[148,165],"edge":[157,214],"image)":[158],"positioning":[167],"teeth).":[170],"Using":[171],"10":[172],"training":[173],"images,":[174],"test":[176],"precision":[177,263],"recall":[179],"rate":[180],"tooth":[183],"center":[185],"point":[186],"were":[191,294],"between":[192],"99\u2013100%.":[193],"identified":[200],"single":[202],"generated":[206],"by":[207],"migrating":[208],"area,":[212],"as":[221],"knowledge.":[224],"Under":[225],"premise":[227],"using":[229],"same":[231],"deep":[232],"neural":[233,281],"model,":[236,303],"model":[238],"with":[240],"was":[244,266],"20%":[245],"more":[246,267],"accurate":[247],"than":[248,268,273,299],"ordinary":[250],"methods.":[252],"For":[253],"overall":[255],"performance":[258],"indicators,":[259],"SPSC-NET\u2019s":[261],"average":[262],"(AP)":[264],"value":[265],"92%,":[269],"better":[272,298],"that":[274],"transfer-based":[277,301],"faster":[278],"region-based":[279],"convolutional":[280],"(Faster-RCNN)":[283],"model;":[286],"moreover,":[287],"its":[288],"AP":[289],"mean":[291],"intersection-over-union":[292],"(mIOU)":[293],"14.72%":[295],"19.68%":[297],"Faster-CNN":[302],"respectively.":[304]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
