{"id":"https://openalex.org/W4408145204","doi":"https://doi.org/10.1109/tip.2025.3544139","title":"Uncertainty-Driven Parallel Transformer-Based Segmentation for Oral Disease Dataset","display_name":"Uncertainty-Driven Parallel Transformer-Based Segmentation for Oral Disease Dataset","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4408145204","doi":"https://doi.org/10.1109/tip.2025.3544139","pmid":"https://pubmed.ncbi.nlm.nih.gov/40036515"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2025.3544139","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2025.3544139","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5112422329","display_name":"Lintao Peng","orcid":null},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lintao Peng","raw_affiliation_strings":["Yangtze Delta Region Academy, Beijing Institute of Technology (Jiaxing), Jiaxing, China","MIIT Key Laboratory of Complex-field Intelligent Sensing, Beijing Institute of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0004-3646-631X","affiliations":[{"raw_affiliation_string":"Yangtze Delta Region Academy, Beijing Institute of Technology (Jiaxing), Jiaxing, China","institution_ids":["https://openalex.org/I125839683"]},{"raw_affiliation_string":"MIIT Key Laboratory of Complex-field Intelligent Sensing, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060680048","display_name":"Wenhui Liu","orcid":"https://orcid.org/0009-0004-4465-4476"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]},{"id":"https://openalex.org/I890469752","display_name":"Ministry of Industry and Information Technology","ror":"https://ror.org/0385nmy68","country_code":"CN","type":"government","lineage":["https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenhui Liu","raw_affiliation_strings":["State Key Laboratory of CNS/ATM and the MIIT Key Laboratory of Complex-Field Intelligent Sensing, Beijing Institute of Technology, Beijing, China","MIIT Key Laboratory of Complex-field Intelligent Sensing, Beijing Institute of Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of CNS/ATM and the MIIT Key Laboratory of Complex-Field Intelligent Sensing, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I890469752"]},{"raw_affiliation_string":"MIIT Key Laboratory of Complex-field Intelligent Sensing, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101004679","display_name":"Siyu Xie","orcid":null},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]},{"id":"https://openalex.org/I890469752","display_name":"Ministry of Industry and Information Technology","ror":"https://ror.org/0385nmy68","country_code":"CN","type":"government","lineage":["https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Siyu Xie","raw_affiliation_strings":["State Key Laboratory of CNS/ATM and the MIIT Key Laboratory of Complex-Field Intelligent Sensing, Beijing Institute of Technology, Beijing, China","MIIT Key Laboratory of Complex-field Intelligent Sensing, Beijing Institute of Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of CNS/ATM and the MIIT Key Laboratory of Complex-Field Intelligent Sensing, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I890469752"]},{"raw_affiliation_string":"MIIT Key Laboratory of Complex-field Intelligent Sensing, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100391261","display_name":"Lin Ye","orcid":"https://orcid.org/0000-0002-6568-3020"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Ye","raw_affiliation_strings":["School of Materials Science and Engineering, Beijing Institute of Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Materials Science and Engineering, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Peng Ye","orcid":"https://orcid.org/0000-0001-7150-1265"},"institutions":[{"id":"https://openalex.org/I200296433","display_name":"Chinese Academy of Medical Sciences & Peking Union Medical College","ror":"https://ror.org/02drdmm93","country_code":"CN","type":"education","lineage":["https://openalex.org/I200296433"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Ye","raw_affiliation_strings":["Department of Stomatology, Beijing Hospital, National Center of Gerontology, National Health Commission, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-7150-1265","affiliations":[{"raw_affiliation_string":"Department of Stomatology, Beijing Hospital, National Center of Gerontology, National Health Commission, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China","institution_ids":["https://openalex.org/I200296433"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Fei Xiao","orcid":"https://orcid.org/0000-0003-2054-901X"},"institutions":[{"id":"https://openalex.org/I200296433","display_name":"Chinese Academy of Medical Sciences & Peking Union Medical College","ror":"https://ror.org/02drdmm93","country_code":"CN","type":"education","lineage":["https://openalex.org/I200296433"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei Xiao","raw_affiliation_strings":["Clinical Biobank, Beijing Hospital, National Center of Gerontology, National Health Commission, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China","Institute of Geriatric Medicine, Clinical Biobank, Beijing Hospital, National Center of Gerontology, National Health Commission, Chinese Academy of Medical Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-2054-901X","affiliations":[{"raw_affiliation_string":"Clinical Biobank, Beijing Hospital, National Center of Gerontology, National Health Commission, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China","institution_ids":["https://openalex.org/I200296433"]},{"raw_affiliation_string":"Institute of Geriatric Medicine, Clinical Biobank, Beijing Hospital, National Center of Gerontology, National Health Commission, Chinese Academy of Medical Sciences, Beijing, China","institution_ids":["https://openalex.org/I200296433"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090932389","display_name":"Liheng Bian","orcid":"https://orcid.org/0000-0002-8016-0375"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]},{"id":"https://openalex.org/I890469752","display_name":"Ministry of Industry and Information Technology","ror":"https://ror.org/0385nmy68","country_code":"CN","type":"government","lineage":["https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liheng Bian","raw_affiliation_strings":["State Key Laboratory of CNS/ATM and the MIIT Key Laboratory of Complex-Field Intelligent Sensing, Beijing Institute of Technology, Beijing, China","MIIT Key Laboratory of Complex-field Intelligent Sensing, Beijing Institute of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-8016-0375","affiliations":[{"raw_affiliation_string":"State Key Laboratory of CNS/ATM and the MIIT Key Laboratory of Complex-Field Intelligent Sensing, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I890469752"]},{"raw_affiliation_string":"MIIT Key Laboratory of Complex-field Intelligent Sensing, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.0935,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.72332984,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"34","issue":null,"first_page":"1632","last_page":"1644"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11363","display_name":"Dental Radiography and Imaging","score":0.9743000268936157,"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":0.9743000268936157,"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/T12647","display_name":"Traditional Chinese Medicine Studies","score":0.9498999714851379,"subfield":{"id":"https://openalex.org/subfields/2707","display_name":"Complementary and alternative medicine"},"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/T14510","display_name":"Medical Imaging and Analysis","score":0.9488999843597412,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6097556352615356},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5865825414657593},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5621525645256042},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5474498867988586},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.46764442324638367},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.33654630184173584}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6097556352615356},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5865825414657593},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5621525645256042},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5474498867988586},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.46764442324638367},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.33654630184173584}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D009059","descriptor_name":"Mouth Diseases","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D009059","descriptor_name":"Mouth Diseases","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D009059","descriptor_name":"Mouth Diseases","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D009059","descriptor_name":"Mouth Diseases","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D035501","descriptor_name":"Uncertainty","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D035501","descriptor_name":"Uncertainty","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D035501","descriptor_name":"Uncertainty","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D035501","descriptor_name":"Uncertainty","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2025.3544139","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2025.3544139","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},{"id":"pmid:40036515","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/40036515","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2575069074","display_name":null,"funder_award_id":"62088101","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G336257773","display_name":null,"funder_award_id":"61827901","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6680100950","display_name":"\u7a7a-\u65f6\u5168\u5206\u8fa8\u7387\u7684\u9ad8\u5149\u8c31\u89c6\u9891\u8ba1\u7b97\u6444\u50cf\u7814\u7a76","funder_award_id":"61971045","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G970019371","display_name":null,"funder_award_id":"62322502","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2008359794","https://openalex.org/W2021088830","https://openalex.org/W2111959010","https://openalex.org/W2113025334","https://openalex.org/W2150120080","https://openalex.org/W2150962169","https://openalex.org/W2160754664","https://openalex.org/W2194775991","https://openalex.org/W2285968993","https://openalex.org/W2297614820","https://openalex.org/W2531409750","https://openalex.org/W2560328367","https://openalex.org/W2563649089","https://openalex.org/W2752782242","https://openalex.org/W2774320778","https://openalex.org/W2787091153","https://openalex.org/W2884436604","https://openalex.org/W2928133111","https://openalex.org/W2979907638","https://openalex.org/W2997286550","https://openalex.org/W2999580839","https://openalex.org/W3007447735","https://openalex.org/W3027234488","https://openalex.org/W3027830531","https://openalex.org/W3035376925","https://openalex.org/W3090492687","https://openalex.org/W3131500599","https://openalex.org/W3138516171","https://openalex.org/W3179869055","https://openalex.org/W4205267284","https://openalex.org/W4214493665","https://openalex.org/W4220717038","https://openalex.org/W4287225564","https://openalex.org/W4299652825","https://openalex.org/W4321232185","https://openalex.org/W4382877880","https://openalex.org/W4384517811","https://openalex.org/W4385245566","https://openalex.org/W4385728838","https://openalex.org/W4388145401","https://openalex.org/W4400881081","https://openalex.org/W6735443497","https://openalex.org/W6794345597"],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"Accurate":[0],"oral":[1,17,31,48,60,71,171,184],"disease":[2,18,49,61,172],"segmentation":[3,50,62,161,173,215,226],"is":[4,37,42],"a":[5,20,43,76,111,128,169],"challenging":[6,207],"task,":[7],"for":[8],"three":[9,182],"major":[10],"reasons:":[11],"1)":[12],"The":[13,28,229],"same":[14],"type":[15],"of":[16,22,45,163,222],"has":[19],"diversity":[21],"size,":[23],"color":[24],"and":[25,33,190,192,217,224,231],"texture;":[26],"2)":[27],"boundary":[29],"between":[30],"lesions":[32],"their":[34],"surrounding":[35],"mucosa":[36],"not":[38],"sharp;":[39],"3)":[40],"There":[41],"lack":[44],"public":[46],"large-scale":[47,170],"datasets.":[51],"To":[52],"address":[53],"these":[54,103,164],"issues,":[55],"we":[56,74,101,136,167,197],"first":[57],"report":[58],"an":[59,138],"network":[63],"termed":[64],"Oralformer,":[65],"which":[66,143,196],"enables":[67],"to":[68,79,91,109,132],"tackle":[69],"multiple":[70],"diseases.":[72],"Specifically,":[73],"use":[75],"parallel":[77,113],"design":[78],"combine":[80],"local-window":[81],"self-attention":[82],"(LWSA)":[83],"with":[84,106],"channel-wise":[85],"convolution":[86],"(CWC),":[87],"modeling":[88],"cross-window":[89],"connections":[90],"enlarge":[92],"the":[93,120,123,146,150,160,201],"receptive":[94],"fields":[95],"while":[96],"maintaining":[97],"linear":[98],"complexity.":[99],"Meanwhile,":[100],"connect":[102],"two":[104],"branches":[105],"bi-directional":[107],"interactions":[108],"form":[110,133],"basic":[112],"Transformer":[114],"block":[115,126],"namely":[116],"LC-block.":[117],"We":[118],"insert":[119],"LC-block":[121],"as":[122],"main":[124],"building":[125],"in":[127,220],"U-shape":[129],"encoder-decoder":[130],"architecture":[131],"Oralformer.":[134],"Second,":[135],"introduce":[137],"uncertainty-driven":[139],"self-adaptive":[140],"loss":[141],"function":[142],"can":[144],"reinforce":[145],"network's":[147],"attention":[148],"on":[149,205],"lesion's":[151],"edge":[152],"regions":[153],"that":[154,210],"are":[155],"easily":[156],"confused,":[157],"thus":[158],"improving":[159],"accuracy":[162],"regions.":[165],"Third,":[166],"construct":[168],"(ODS)":[174],"dataset":[175,233],"containing":[176],"2602":[177],"image":[178],"pairs.":[179],"It":[180],"covers":[181],"common":[183],"diseases":[185],"(including":[186],"dental":[187],"plaque,":[188],"calculus":[189],"caries)":[191],"all":[193],"age":[194],"groups,":[195],"hope":[198],"will":[199,234],"advance":[200],"field.":[202],"Extensive":[203],"experiments":[204],"six":[206],"datasets":[208],"show":[209],"our":[211],"Oralformer":[212],"achieves":[213],"state-of-the-art":[214],"accuracy,":[216],"presents":[218],"advantages":[219],"terms":[221],"generalizability":[223],"real-time":[225],"efficiency":[227],"(35fps).":[228],"code":[230],"ODS":[232],"be":[235],"publicly":[236],"available":[237],"at":[238],"https://github.com/LintaoPeng/Oralformer.":[239]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-07T14:30:12.667765","created_date":"2025-10-10T00:00:00"}