{"id":"https://openalex.org/W4294975190","doi":"https://doi.org/10.1109/embc48229.2022.9871995","title":"Incremental Learning for Panoramic Radiograph Segmentation","display_name":"Incremental Learning for Panoramic Radiograph Segmentation","publication_year":2022,"publication_date":"2022-07-11","ids":{"openalex":"https://openalex.org/W4294975190","doi":"https://doi.org/10.1109/embc48229.2022.9871995","pmid":"https://pubmed.ncbi.nlm.nih.gov/36086110"},"language":"en","primary_location":{"id":"doi:10.1109/embc48229.2022.9871995","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc48229.2022.9871995","pdf_url":null,"source":{"id":"https://openalex.org/S4363607706","display_name":"2022 44th Annual International Conference of the IEEE Engineering in Medicine &amp; Biology Society (EMBC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 44th Annual International Conference of the IEEE Engineering in Medicine &amp; Biology Society (EMBC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5070624819","display_name":"Saeed AlQarni","orcid":"https://orcid.org/0000-0001-6208-0315"},"institutions":[{"id":"https://openalex.org/I75421653","display_name":"University of Missouri\u2013Kansas City","ror":"https://ror.org/01w0d5g70","country_code":"US","type":"education","lineage":["https://openalex.org/I75421653"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Saeed AlQarni","raw_affiliation_strings":["School of Computing and Engineering University of Missouri &#x2014; Kansas City,Missouri,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing and Engineering University of Missouri &#x2014; Kansas City,Missouri,USA","institution_ids":["https://openalex.org/I75421653"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035123474","display_name":"Geetha Chandrashekar","orcid":null},"institutions":[{"id":"https://openalex.org/I75421653","display_name":"University of Missouri\u2013Kansas City","ror":"https://ror.org/01w0d5g70","country_code":"US","type":"education","lineage":["https://openalex.org/I75421653"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Geetha Chandrashekar","raw_affiliation_strings":["School of Computing and Engineering University of Missouri &#x2014; Kansas City,Missouri,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing and Engineering University of Missouri &#x2014; Kansas City,Missouri,USA","institution_ids":["https://openalex.org/I75421653"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063490425","display_name":"Erin E. Bumann","orcid":"https://orcid.org/0000-0002-8698-7808"},"institutions":[{"id":"https://openalex.org/I75421653","display_name":"University of Missouri\u2013Kansas City","ror":"https://ror.org/01w0d5g70","country_code":"US","type":"education","lineage":["https://openalex.org/I75421653"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Erin Ealba Bumann","raw_affiliation_strings":["University of Missouri,Department of Oral and Craniofacial Sciences,Kansas City,Missouri,USA","Department of Oral and Craniofacial Sciences, University of Missouri, Kansas City, Missouri, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Missouri,Department of Oral and Craniofacial Sciences,Kansas City,Missouri,USA","institution_ids":["https://openalex.org/I75421653"]},{"raw_affiliation_string":"Department of Oral and Craniofacial Sciences, University of Missouri, Kansas City, Missouri, USA","institution_ids":["https://openalex.org/I75421653"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007672179","display_name":"Yugyung Lee","orcid":"https://orcid.org/0000-0002-1619-1695"},"institutions":[{"id":"https://openalex.org/I75421653","display_name":"University of Missouri\u2013Kansas City","ror":"https://ror.org/01w0d5g70","country_code":"US","type":"education","lineage":["https://openalex.org/I75421653"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yugyung Lee","raw_affiliation_strings":["School of Computing and Engineering University of Missouri &#x2014; Kansas City,Missouri,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing and Engineering University of Missouri &#x2014; Kansas City,Missouri,USA","institution_ids":["https://openalex.org/I75421653"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I75421653"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"2022","issue":null,"first_page":"557","last_page":"561"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11363","display_name":"Dental Radiography and Imaging","score":0.9991999864578247,"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":0.9991999864578247,"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/T12439","display_name":"Dental Research and COVID-19","score":0.9943000078201294,"subfield":{"id":"https://openalex.org/subfields/3500","display_name":"General Dentistry"},"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9940999746322632,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.816497266292572},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7727634906768799},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7309513092041016},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.662360668182373},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.6434894800186157},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5224960446357727},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5158721208572388},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.484468936920166},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37246978282928467},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.35500413179397583}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.816497266292572},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7727634906768799},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7309513092041016},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.662360668182373},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.6434894800186157},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5224960446357727},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5158721208572388},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.484468936920166},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37246978282928467},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.35500413179397583},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[{"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":"D011862","descriptor_name":"Radiography, Panoramic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011862","descriptor_name":"Radiography, Panoramic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011862","descriptor_name":"Radiography, Panoramic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014070","descriptor_name":"Tooth","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D014070","descriptor_name":"Tooth","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D014070","descriptor_name":"Tooth","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1109/embc48229.2022.9871995","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc48229.2022.9871995","pdf_url":null,"source":{"id":"https://openalex.org/S4363607706","display_name":"2022 44th Annual International Conference of the IEEE Engineering in Medicine &amp; Biology Society (EMBC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 44th Annual International Conference of the IEEE Engineering in Medicine &amp; Biology Society (EMBC)","raw_type":"proceedings-article"},{"id":"pmid:36086110","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36086110","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":"Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.8399999737739563,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1682403713","https://openalex.org/W1954264464","https://openalex.org/W2743151379","https://openalex.org/W2807445254","https://openalex.org/W2884282566","https://openalex.org/W2910913949","https://openalex.org/W2948734064","https://openalex.org/W2962895999","https://openalex.org/W2969211464","https://openalex.org/W2982220706","https://openalex.org/W2999289173","https://openalex.org/W3011986058","https://openalex.org/W3017361373","https://openalex.org/W3047026765","https://openalex.org/W3089376548","https://openalex.org/W3101808799","https://openalex.org/W3160103175","https://openalex.org/W3164072766","https://openalex.org/W3174852108","https://openalex.org/W3176777339","https://openalex.org/W6640913111","https://openalex.org/W6776821665"],"related_works":["https://openalex.org/W4312200629","https://openalex.org/W4213299466","https://openalex.org/W1669643531","https://openalex.org/W2122581818","https://openalex.org/W2948658236","https://openalex.org/W2790662084","https://openalex.org/W2159066190","https://openalex.org/W2739874619","https://openalex.org/W2117933325","https://openalex.org/W2110230079"],"abstract_inverted_index":{"This":[0],"study":[1],"aimed":[2],"to":[3,25,35,39,57,78,119,122],"determine":[4],"a":[5,37,59],"fundamental":[6],"method":[7],"for":[8,105],"the":[9,79,90,94,103,124],"automated":[10],"detection":[11],"and":[12,16,23,107,113],"treatment":[13],"of":[14,73,126],"dental":[15],"orthodontic":[17],"problems.":[18],"Manual":[19],"intervention":[20],"is":[21,75],"inefficient":[22],"prone":[24],"human":[26],"error":[27],"in":[28,99],"detecting":[29],"anomalies.":[30],"Deep":[31],"learning":[32,46,88],"was":[33],"used":[34],"identify":[36],"solution":[38],"this":[40],"problem.":[41],"We":[42,115],"proposed":[43,128],"leveraging":[44],"incremental":[45],"approaches":[47],"using":[48],"Mask":[49],"RCNN":[50],"as":[51],"backbone":[52],"networks":[53],"on":[54],"small":[55],"datasets":[56],"construct":[58],"more":[60],"accurate":[61],"model":[62],"from":[63],"automatically":[64],"labeled":[65],"data.":[66],"The":[67],"knowledge":[68],"acquired":[69],"at":[70],"one":[71],"stage":[72],"education":[74],"carried":[76],"over":[77],"subsequent":[80],"stage.":[81],"By":[82],"incorporating":[83],"newly":[84],"annotated":[85],"data,":[86],"transfer":[87],"improved":[89],"model's":[91],"performance.":[92],"Despite":[93],"data":[95],"scarcity":[96],"issues":[97],"inherent":[98],"radiograph":[100],"image":[101],"collection,":[102],"findings":[104],"filling":[106],"tooth":[108],"segmentation":[109],"tasks":[110],"were":[111],"encouraging":[112],"adequate.":[114],"compared":[116],"our":[117,127],"results":[118],"prior":[120],"research":[121],"optimize":[123],"performance":[125],"method.":[129]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
