{"id":"https://openalex.org/W4385569541","doi":"https://doi.org/10.1109/access.2023.3302271","title":"Classification of the Relationship Between Mandibular Third Molar and Inferior Alveolar Nerve Based on Generated Mask Images","display_name":"Classification of the Relationship Between Mandibular Third Molar and Inferior Alveolar Nerve Based on Generated Mask Images","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4385569541","doi":"https://doi.org/10.1109/access.2023.3302271"},"language":"en","primary_location":{"id":"doi:10.1109/access.2023.3302271","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3302271","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10209175.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10209175.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5045192833","display_name":"Yunsang Joo","orcid":null},"institutions":[{"id":"https://openalex.org/I12832649","display_name":"Gachon University","ror":"https://ror.org/03ryywt80","country_code":"KR","type":"education","lineage":["https://openalex.org/I12832649"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Yunsang Joo","raw_affiliation_strings":["Department of Computer Engineering, Gachon University, Seongnam, Sujeong, Republic of Korea","Department of Computer Engineering, Gachon University, Sujeong-gu, Seongnam, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0002-9953-9406","affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Gachon University, Seongnam, Sujeong, Republic of Korea","institution_ids":["https://openalex.org/I12832649"]},{"raw_affiliation_string":"Department of Computer Engineering, Gachon University, Sujeong-gu, Seongnam, Republic of Korea","institution_ids":["https://openalex.org/I12832649"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087283468","display_name":"Seong\u2010Yong Moon","orcid":"https://orcid.org/0000-0002-7513-4404"},"institutions":[{"id":"https://openalex.org/I152238500","display_name":"Chosun University","ror":"https://ror.org/01zt9a375","country_code":"KR","type":"education","lineage":["https://openalex.org/I152238500"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Seong-Yong Moon","raw_affiliation_strings":["Department of Oral and Maxillofacial Surgery, School of Dentistry, Chosun University, Gwangju, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Oral and Maxillofacial Surgery, School of Dentistry, Chosun University, Gwangju, Republic of Korea","institution_ids":["https://openalex.org/I152238500"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101410165","display_name":"Chang Choi","orcid":"https://orcid.org/0000-0002-2276-2378"},"institutions":[{"id":"https://openalex.org/I12832649","display_name":"Gachon University","ror":"https://ror.org/03ryywt80","country_code":"KR","type":"education","lineage":["https://openalex.org/I12832649"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Chang Choi","raw_affiliation_strings":["Department of Computer Engineering, Gachon University, Seongnam, Sujeong, Republic of Korea","Department of Computer Engineering, Gachon University, Sujeong-gu, Seongnam, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0002-2276-2378","affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Gachon University, Seongnam, Sujeong, Republic of Korea","institution_ids":["https://openalex.org/I12832649"]},{"raw_affiliation_string":"Department of Computer Engineering, Gachon University, Sujeong-gu, Seongnam, Republic of Korea","institution_ids":["https://openalex.org/I12832649"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5045192833"],"corresponding_institution_ids":["https://openalex.org/I12832649"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":3.4475,"has_fulltext":true,"cited_by_count":14,"citation_normalized_percentile":{"value":0.92915338,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"11","issue":null,"first_page":"81777","last_page":"81786"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11363","display_name":"Dental Radiography and Imaging","score":0.9998999834060669,"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":0.9998999834060669,"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/T14510","display_name":"Medical Imaging and Analysis","score":0.9882000088691711,"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/T12386","display_name":"Advanced X-ray and CT Imaging","score":0.972000002861023,"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/molar","display_name":"Molar","score":0.8194030523300171},{"id":"https://openalex.org/keywords/inferior-alveolar-nerve","display_name":"Inferior alveolar nerve","score":0.8145468235015869},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.582145631313324},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5528994798660278},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5424045920372009},{"id":"https://openalex.org/keywords/mandibular-third-molar","display_name":"Mandibular third molar","score":0.534323513507843},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.506995439529419},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.462035208940506},{"id":"https://openalex.org/keywords/mandibular-second-molar","display_name":"Mandibular second molar","score":0.45737338066101074},{"id":"https://openalex.org/keywords/orthodontics","display_name":"Orthodontics","score":0.3301324248313904},{"id":"https://openalex.org/keywords/dentistry","display_name":"Dentistry","score":0.32614171504974365},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.2861177921295166},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.17875531315803528}],"concepts":[{"id":"https://openalex.org/C202271784","wikidata":"https://www.wikidata.org/wiki/Q189218","display_name":"Molar","level":2,"score":0.8194030523300171},{"id":"https://openalex.org/C2775856749","wikidata":"https://www.wikidata.org/wiki/Q1538474","display_name":"Inferior alveolar nerve","level":3,"score":0.8145468235015869},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.582145631313324},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5528994798660278},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5424045920372009},{"id":"https://openalex.org/C2992652257","wikidata":"https://www.wikidata.org/wiki/Q202517","display_name":"Mandibular third molar","level":3,"score":0.534323513507843},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.506995439529419},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.462035208940506},{"id":"https://openalex.org/C73753567","wikidata":"https://www.wikidata.org/wiki/Q4348754","display_name":"Mandibular second molar","level":3,"score":0.45737338066101074},{"id":"https://openalex.org/C29694066","wikidata":"https://www.wikidata.org/wiki/Q118301","display_name":"Orthodontics","level":1,"score":0.3301324248313904},{"id":"https://openalex.org/C199343813","wikidata":"https://www.wikidata.org/wiki/Q12128","display_name":"Dentistry","level":1,"score":0.32614171504974365},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.2861177921295166},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.17875531315803528}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2023.3302271","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3302271","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10209175.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:fd9afa065802497cb5330f31de0f9888","is_oa":true,"landing_page_url":"https://doaj.org/article/fd9afa065802497cb5330f31de0f9888","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 11, Pp 81777-81786 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2023.3302271","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3302271","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10209175.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4874665187","display_name":null,"funder_award_id":"NRF-2022R1I1A3063483","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"},{"id":"https://openalex.org/G7954775577","display_name":null,"funder_award_id":"GCU-202110260001","funder_id":"https://openalex.org/F4320321366","funder_display_name":"Gachon University"}],"funders":[{"id":"https://openalex.org/F4320320671","display_name":"National Research Foundation","ror":"https://ror.org/05s0g1g46"},{"id":"https://openalex.org/F4320321366","display_name":"Gachon University","ror":"https://ror.org/03ryywt80"},{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4385569541.pdf","grobid_xml":"https://content.openalex.org/works/W4385569541.grobid-xml"},"referenced_works_count":54,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W1976468890","https://openalex.org/W1978307566","https://openalex.org/W2008175585","https://openalex.org/W2039972477","https://openalex.org/W2085508656","https://openalex.org/W2163482365","https://openalex.org/W2186300959","https://openalex.org/W2194775991","https://openalex.org/W2270391075","https://openalex.org/W2585722415","https://openalex.org/W2905116258","https://openalex.org/W2907632336","https://openalex.org/W2920827296","https://openalex.org/W2935849356","https://openalex.org/W2946049212","https://openalex.org/W2951037649","https://openalex.org/W2963446712","https://openalex.org/W2995942064","https://openalex.org/W3028522519","https://openalex.org/W3080289304","https://openalex.org/W3092447054","https://openalex.org/W3108932871","https://openalex.org/W3111337568","https://openalex.org/W3120795911","https://openalex.org/W3125570879","https://openalex.org/W3125775259","https://openalex.org/W3141513209","https://openalex.org/W3160284783","https://openalex.org/W3165812945","https://openalex.org/W3172244198","https://openalex.org/W3183785463","https://openalex.org/W3185932287","https://openalex.org/W3198475021","https://openalex.org/W3200645687","https://openalex.org/W3206748021","https://openalex.org/W3213420920","https://openalex.org/W4200578477","https://openalex.org/W4206488005","https://openalex.org/W4211120445","https://openalex.org/W4223617134","https://openalex.org/W4233615551","https://openalex.org/W4281633772","https://openalex.org/W4283800955","https://openalex.org/W4303645592","https://openalex.org/W4308311931","https://openalex.org/W4312211566","https://openalex.org/W4315853612","https://openalex.org/W4386076325","https://openalex.org/W6637373629","https://openalex.org/W6686834868","https://openalex.org/W6795435739","https://openalex.org/W6845620654","https://openalex.org/W6849520326"],"related_works":["https://openalex.org/W2247573210","https://openalex.org/W2070710506","https://openalex.org/W2284325002","https://openalex.org/W2914937545","https://openalex.org/W28073662","https://openalex.org/W2998547720","https://openalex.org/W2624874822","https://openalex.org/W2075043537","https://openalex.org/W4311052868","https://openalex.org/W2926476348"],"abstract_inverted_index":{"In":[0],"recent":[1],"dentistry":[2],"research,":[3],"deep":[4,58],"learning":[5,59,64],"techniques":[6],"have":[7,37,61],"been":[8],"employed":[9],"for":[10],"various":[11],"tasks,":[12],"including":[13,162],"detecting":[14,154,221],"and":[15,19,47,70,79,96,137,181,202,260,278],"segmenting":[16],"third":[17,45,135,160,182,200,228,258],"molars":[18],"inferior":[20,54,138,164,178,203,261],"alveolar":[21,55,139,165,179,204,262],"nerves,":[22,97],"as":[23,25],"well":[24],"classifying":[26],"their":[27,76],"positional":[28,237],"relationships.":[29],"Prior":[30],"studies":[31],"using":[32,206,242],"convolutional":[33],"neural":[34],"networks":[35],"(CNNs)":[36],"successfully":[38],"detected":[39,266],"the":[40,44,50,53,65,92,104,127,131,134,147,155,159,163,177,185,193,196,199,222,227,231,234,254,257,265,282,294,302],"adjacent":[41,156],"area":[42],"of":[43,68,94,121,130,158,176,188,195,218,224,233,251,268,276,291,304],"molar":[46,136,183,201,259],"automatically":[48],"classified":[49,105],"relationship":[51,87,132,197,238],"between":[52,133,198],"nerves.":[56],"However,":[57],"models":[60],"limitations":[62],"in":[63,75,167,220,226,247,264],"diverse":[66],"patterns":[67],"teeth":[69,95],"nerves":[71],"due":[72],"to":[73,101,125,145],"variations":[74],"shape,":[77],"angle,":[78],"size":[80],"across":[81],"individuals.":[82],"Moreover,":[83],"unlike":[84],"object":[85],"classification,":[86,286],"classification":[88,116,128,194,239,244],"is":[89,124],"influenced":[90],"by":[91,153,297],"proximity":[93],"making":[98],"it":[99,172,191,287],"challenging":[100],"accurately":[102],"interpret":[103],"samples.":[106],"To":[107],"address":[108],"these":[109,207],"challenges,":[110],"we":[111],"propose":[112],"a":[113,213,271],"masking":[114,284],"image-based":[115,285],"system.":[117,307],"The":[118,210],"primary":[119],"goal":[120],"this":[122],"system":[123,151,211],"enhance":[126],"performance":[129,232],"nerve":[140,180,205,263],"while":[141],"providing":[142],"diagnostic":[143],"evidence":[144],"support":[146],"classification.":[148],"Our":[149],"proposed":[150,283,306],"operates":[152],"areas":[157],"molar,":[161],"nerve,":[166],"panoramic":[168],"radiographs":[169],"(PR).":[170],"Subsequently,":[171],"generates":[173],"masked":[174,208],"images":[175],"within":[184],"extracted":[186],"regions":[187],"interest.":[189],"Finally,":[190],"performs":[192],"images.":[209],"achieved":[212],"mean":[214],"average":[215,249],"precision":[216],"(mAP)":[217],"0.885":[219],"region":[223,267],"interest":[225,269],"molar.":[229],"Furthermore,":[230],"existing":[235,295],"CNN-based":[236],"was":[240],"evaluated":[241],"four":[243],"models,":[245],"resulting":[246],"an":[248,289],"accuracy":[250,290],"0.795.":[252],"For":[253],"segmentation":[255],"task,":[256],"exhibited":[270],"dice":[272],"similarity":[273],"coefficient":[274],"(DSC)":[275],"0.961":[277],"0.820,":[279],"respectively.":[280],"Regarding":[281],"demonstrated":[288],"0.832,":[292],"outperforming":[293],"method":[296],"approximately":[298],"3%,":[299],"thus":[300],"confirming":[301],"superiority":[303],"our":[305]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":4}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}