{"id":"https://openalex.org/W4313154151","doi":"https://doi.org/10.1109/access.2022.3213839","title":"Mandibular Canal Segmentation From CBCT Image Using 3D Convolutional Neural Network With scSE Attention","display_name":"Mandibular Canal Segmentation From CBCT Image Using 3D Convolutional Neural Network With scSE Attention","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4313154151","doi":"https://doi.org/10.1109/access.2022.3213839"},"language":"en","primary_location":{"id":"doi:10.1109/access.2022.3213839","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3213839","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09916261.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/ielx7/6287639/6514899/09916261.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100631285","display_name":"Gang Du","orcid":"https://orcid.org/0000-0003-4188-6138"},"institutions":[{"id":"https://openalex.org/I3125743391","display_name":"China University of Geosciences (Beijing)","ror":"https://ror.org/04q6c7p66","country_code":"CN","type":"education","lineage":["https://openalex.org/I3125743391"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gang Du","raw_affiliation_strings":["School of Information Engineering, China University of Geosciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Engineering, China University of Geosciences, Beijing, China","institution_ids":["https://openalex.org/I3125743391"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033710681","display_name":"Xinyu Tian","orcid":"https://orcid.org/0000-0003-3673-2628"},"institutions":[{"id":"https://openalex.org/I3125743391","display_name":"China University of Geosciences (Beijing)","ror":"https://ror.org/04q6c7p66","country_code":"CN","type":"education","lineage":["https://openalex.org/I3125743391"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinyu Tian","raw_affiliation_strings":["School of Information Engineering, China University of Geosciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-3673-2628","affiliations":[{"raw_affiliation_string":"School of Information Engineering, China University of Geosciences, Beijing, China","institution_ids":["https://openalex.org/I3125743391"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073169805","display_name":"Yixu Song","orcid":"https://orcid.org/0000-0002-3477-4886"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yixu Song","raw_affiliation_strings":["Department of Computer Science and Technology, Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-3477-4886","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":3.3244,"has_fulltext":true,"cited_by_count":21,"citation_normalized_percentile":{"value":0.92858226,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"10","issue":null,"first_page":"111272","last_page":"111283"},"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":0.9986000061035156,"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":0.9932000041007996,"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/mandibular-canal","display_name":"Mandibular canal","score":0.7093430757522583},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6401711106300354},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.621566891670227},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.614442765712738},{"id":"https://openalex.org/keywords/mental-foramen","display_name":"Mental foramen","score":0.592218279838562},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4966488480567932},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.48758453130722046},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4457227289676666},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.42918917536735535},{"id":"https://openalex.org/keywords/orthodontics","display_name":"Orthodontics","score":0.33441492915153503},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.31449735164642334},{"id":"https://openalex.org/keywords/radiography","display_name":"Radiography","score":0.1804865002632141},{"id":"https://openalex.org/keywords/surgery","display_name":"Surgery","score":0.07225289940834045}],"concepts":[{"id":"https://openalex.org/C2777760171","wikidata":"https://www.wikidata.org/wiki/Q1032740","display_name":"Mandibular canal","level":3,"score":0.7093430757522583},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6401711106300354},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.621566891670227},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.614442765712738},{"id":"https://openalex.org/C2780157959","wikidata":"https://www.wikidata.org/wiki/Q833871","display_name":"Mental foramen","level":3,"score":0.592218279838562},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4966488480567932},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.48758453130722046},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4457227289676666},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.42918917536735535},{"id":"https://openalex.org/C29694066","wikidata":"https://www.wikidata.org/wiki/Q118301","display_name":"Orthodontics","level":1,"score":0.33441492915153503},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.31449735164642334},{"id":"https://openalex.org/C36454342","wikidata":"https://www.wikidata.org/wiki/Q245341","display_name":"Radiography","level":2,"score":0.1804865002632141},{"id":"https://openalex.org/C141071460","wikidata":"https://www.wikidata.org/wiki/Q40821","display_name":"Surgery","level":1,"score":0.07225289940834045},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C202271784","wikidata":"https://www.wikidata.org/wiki/Q189218","display_name":"Molar","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2022.3213839","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3213839","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09916261.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:42859a1a990348ccb2780e15f814b8b9","is_oa":true,"landing_page_url":"https://doaj.org/article/42859a1a990348ccb2780e15f814b8b9","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 10, Pp 111272-111283 (2022)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2022.3213839","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3213839","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09916261.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":[],"funders":[{"id":"https://openalex.org/F4320321132","display_name":"China University of Geosciences, Beijing","ror":"https://ror.org/04q6c7p66"},{"id":"https://openalex.org/F4320328899","display_name":"China University of Geosciences","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4313154151.pdf","grobid_xml":"https://content.openalex.org/works/W4313154151.grobid-xml"},"referenced_works_count":21,"referenced_works":["https://openalex.org/W1547176896","https://openalex.org/W1591620100","https://openalex.org/W2000063966","https://openalex.org/W2045313187","https://openalex.org/W2107455488","https://openalex.org/W2141495009","https://openalex.org/W2201984498","https://openalex.org/W2464708700","https://openalex.org/W2759639496","https://openalex.org/W2802322159","https://openalex.org/W2917359715","https://openalex.org/W2962914239","https://openalex.org/W2963794428","https://openalex.org/W2964563812","https://openalex.org/W2971668751","https://openalex.org/W3015101934","https://openalex.org/W3015126388","https://openalex.org/W3156352561","https://openalex.org/W3213420920","https://openalex.org/W4205296566","https://openalex.org/W4225463701"],"related_works":["https://openalex.org/W2412313127","https://openalex.org/W3129758590","https://openalex.org/W2974728749","https://openalex.org/W2266713410","https://openalex.org/W85337775","https://openalex.org/W2614177550","https://openalex.org/W2073664993","https://openalex.org/W2912692325","https://openalex.org/W2071061988","https://openalex.org/W2592549617"],"abstract_inverted_index":{"In":[0],"dental":[1,242],"implant":[2],"planning,":[3],"the":[4,13,17,24,35,39,43,47,52,122,130,137,144,161,171,175,181,185,193,218],"mandibular":[5,25,40,55,84,96,110,125,165,186],"canal":[6,26,41,56,85,97,111,126],"is":[7,30,57,177,234],"an":[8,152],"important":[9],"reference":[10],"for":[11,146],"determining":[12],"safe":[14],"position":[15],"of":[16,23,31,38,54,124,184,205,212],"implant.":[18],"Accurate":[19],"and":[20,42,72,108,128,164,174,207,229],"automatic":[21],"segmentation":[22,53,75,86,98,195,199,219],"from":[27,168],"CBCT":[28],"image":[29],"great":[32],"significance.":[33],"However,":[34],"variable":[36],"curvature":[37],"blurred":[44],"borders":[45],"make":[46],"process":[48],"challenging.":[49],"At":[50],"present,":[51],"usually":[58],"carried":[59],"out":[60],"by":[61],"experienced,":[62],"doctors":[63],"using":[64],"manual":[65],"or":[66],"semi-automatic":[67],"methods,":[68,217],"which":[69,233],"are":[70,118],"time-consuming":[71],"have":[73],"poor":[74],"consistency.":[76],"For":[77],"these":[78],"issues,":[79],"this":[80,223],"paper":[81,224],"proposes":[82],"a":[83,95,109,202,208,226,230,238],"method":[87,99,113,196,220],"based":[88,100,114],"on":[89,101,115,180],"3D":[90],"convolutional":[91],"neural":[92],"network.":[93],"Firstly,":[94],"center":[102],"line":[103],"combined":[104],"with":[105,201,215],"region":[106],"growth":[107],"clipping":[112],"fixed":[116],"points":[117],"proposed":[119,194,221],"to":[120,143,159,236],"improve":[121],"efficiency":[123],"marking":[127],"reduce":[129],"imbalance":[131],"between":[132],"sample":[133],"categories,":[134],"respectively.":[135],"Thereafter,":[136],"scSE":[138],"attention":[139],"module":[140],"was":[141,157],"added":[142],"network":[145,176],"reducing":[147],"irrelevant":[148],"background":[149],"information.":[150],"Finally,":[151],"weighted":[153],"BCE":[154],"loss":[155],"function":[156],"used":[158],"prevent":[160],"mental":[162],"foramen":[163,166],"areas":[167],"participating":[169],"in":[170,222,241],"back-propagation":[172],"calculation,":[173],"more":[178],"focused":[179],"feature":[182],"learning":[183],"canal.":[187],"The":[188],"experimental":[189],"results":[190],"show":[191],"that":[192],"achieves":[197],"good":[198],"results,":[200],"Dice":[203],"score":[204],"85.9%":[206],"95%":[209],"Hausdorff":[210],"distance":[211],"0.5371mm.":[213],"Compared":[214],"other":[216],"had":[225],"higher":[227],"accuracy":[228],"faster":[231],"efficiency,":[232],"expected":[235],"play":[237],"practical":[239],"role":[240],"implants.":[243]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
