{"id":"https://openalex.org/W4225262692","doi":"https://doi.org/10.1145/3524889.3524899","title":"Oral Cone Beam Computed Tomography Images Segmentation Based On Multi-view Fusion","display_name":"Oral Cone Beam Computed Tomography Images Segmentation Based On Multi-view Fusion","publication_year":2022,"publication_date":"2022-02-25","ids":{"openalex":"https://openalex.org/W4225262692","doi":"https://doi.org/10.1145/3524889.3524899"},"language":"en","primary_location":{"id":"doi:10.1145/3524889.3524899","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3524889.3524899","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 7th International Conference on Intelligent Information Technology","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"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/A5055092176","display_name":"Yunyao Jin","orcid":null},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yunyao Jin","raw_affiliation_strings":["School of Computer Science, Sichuan University, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Sichuan University, China","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085914001","display_name":"Qijun Zhao","orcid":"https://orcid.org/0000-0003-4651-7163"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qijun Zhao","raw_affiliation_strings":["School of Computer Science, Sichuan University, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Sichuan University, China","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102325479","display_name":"Junxin Cheng","orcid":null},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junxin Cheng","raw_affiliation_strings":["West China School of Stomatology, Sichuan University, China"],"affiliations":[{"raw_affiliation_string":"West China School of Stomatology, Sichuan University, China","institution_ids":["https://openalex.org/I24185976"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5055092176"],"corresponding_institution_ids":["https://openalex.org/I24185976"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.05726437,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"59","last_page":"64"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11363","display_name":"Dental Radiography and Imaging","score":0.9988999962806702,"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":0.9988999962806702,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9933000206947327,"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"}},{"id":"https://openalex.org/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9927999973297119,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.720396101474762},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6989376544952393},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6768658757209778},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6304156184196472},{"id":"https://openalex.org/keywords/cone-beam-computed-tomography","display_name":"Cone beam computed tomography","score":0.5942953824996948},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4668254256248474},{"id":"https://openalex.org/keywords/viewpoints","display_name":"Viewpoints","score":0.4637584984302521},{"id":"https://openalex.org/keywords/dental-alveolus","display_name":"Dental alveolus","score":0.4105236530303955},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3527524769306183},{"id":"https://openalex.org/keywords/computed-tomography","display_name":"Computed tomography","score":0.25569379329681396},{"id":"https://openalex.org/keywords/dentistry","display_name":"Dentistry","score":0.1342015564441681},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.08916866779327393}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.720396101474762},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6989376544952393},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6768658757209778},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6304156184196472},{"id":"https://openalex.org/C2779813781","wikidata":"https://www.wikidata.org/wiki/Q1224951","display_name":"Cone beam computed tomography","level":3,"score":0.5942953824996948},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4668254256248474},{"id":"https://openalex.org/C2776035091","wikidata":"https://www.wikidata.org/wiki/Q7928819","display_name":"Viewpoints","level":2,"score":0.4637584984302521},{"id":"https://openalex.org/C151279780","wikidata":"https://www.wikidata.org/wiki/Q143588","display_name":"Dental alveolus","level":2,"score":0.4105236530303955},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3527524769306183},{"id":"https://openalex.org/C544519230","wikidata":"https://www.wikidata.org/wiki/Q32566","display_name":"Computed tomography","level":2,"score":0.25569379329681396},{"id":"https://openalex.org/C199343813","wikidata":"https://www.wikidata.org/wiki/Q12128","display_name":"Dentistry","level":1,"score":0.1342015564441681},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.08916866779327393},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3524889.3524899","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3524889.3524899","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 7th International Conference on Intelligent Information Technology","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1975233037","https://openalex.org/W2044250551","https://openalex.org/W2074318434","https://openalex.org/W2395611524","https://openalex.org/W2412782625","https://openalex.org/W2497172863","https://openalex.org/W2617749823","https://openalex.org/W2888529080","https://openalex.org/W2902987956","https://openalex.org/W2963881378","https://openalex.org/W3007034888","https://openalex.org/W3024641444","https://openalex.org/W4247727841"],"related_works":["https://openalex.org/W2385368906","https://openalex.org/W2902924992","https://openalex.org/W2626642044","https://openalex.org/W2619807045","https://openalex.org/W2388758053","https://openalex.org/W93537448","https://openalex.org/W2949734191","https://openalex.org/W2017333877","https://openalex.org/W2048332520","https://openalex.org/W1522196789"],"abstract_inverted_index":{"In":[0],"computer-aided":[1],"orthodontic":[2],"treatment,":[3],"it":[4],"is":[5,30,57,106,134,151,155,166],"necessary":[6],"to":[7,77,108,116,177],"establish":[8],"a":[9,72,131,169],"3D":[10,99],"model":[11],"of":[12,34,48,62,81,93,97,120,127,144],"the":[13,19,31,36,44,51,79,94,98,121,142,147,163,178,188],"teeth":[14,20,82],"and":[15,21,46,50,83,162],"alveolar":[16,22,54,84],"bone.":[17],"Segmenting":[18],"bone":[23,55,85],"from":[24,124],"cone-beam":[25],"computed":[26],"tomography":[27],"(CBCT)":[28],"images":[29,65],"primary":[32],"step":[33],"reconstructing":[35],"model.":[37],"However,":[38],"previous":[39],"studies":[40],"mainly":[41],"focused":[42],"on":[43,53],"segmentation":[45,56,80,111,154],"reconstruction":[47],"teeth,":[49],"research":[52],"very":[58],"rare.":[59],"Different":[60],"viewpoints":[61,126],"oral":[63,87,128],"CBCT":[64,88,129],"provide":[66],"complementary":[67],"information.":[68],"This":[69],"paper":[70],"proposes":[71],"multi-view":[73,137],"information":[74,122,143,165],"fusion":[75],"method":[76,183],"realize":[78],"in":[86,114,168],"images.":[89],"Firstly,":[90],"for":[91,136],"each":[92],"three":[95],"axes":[96],"data,":[100],"an":[101],"individual":[102],"2D":[103,159],"deep":[104],"network":[105,133],"trained":[107],"achieve":[109],"coarse":[110],"results.":[112,175],"Secondly,":[113],"order":[115],"make":[117],"full":[118],"use":[119],"obtained":[123,156],"different":[125,145],"images,":[130],"convolution":[132],"used":[135],"fusion.":[138],"To":[139],"better":[140],"fuse":[141],"viewpoints,":[146],"channel-spatial":[148],"attention":[149],"mechanism":[150],"applied.":[152],"Final":[153],"by":[157],"stacking":[158],"slices":[160],"predictions,":[161],"contextual":[164],"added":[167],"post-processing":[170],"manner":[171],"through":[172],"fusing":[173],"three-viewpoints":[174],"According":[176],"experimental":[179],"results,":[180],"our":[181],"proposed":[182],"achieves":[184],"significant":[185],"improvements":[186],"over":[187],"baseline.":[189]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}