{"id":"https://openalex.org/W3089189547","doi":"https://doi.org/10.1145/3417519.3417549","title":"Full Tooth Contour Recognition and Model Reconstruction Method Based on CT Images","display_name":"Full Tooth Contour Recognition and Model Reconstruction Method Based on CT Images","publication_year":2020,"publication_date":"2020-08-21","ids":{"openalex":"https://openalex.org/W3089189547","doi":"https://doi.org/10.1145/3417519.3417549","mag":"3089189547"},"language":"en","primary_location":{"id":"doi:10.1145/3417519.3417549","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3417519.3417549","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 5th International Conference on Biomedical Signal and Image Processing","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/A5015508692","display_name":"Kaile Song","orcid":null},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"KaiLe Song","raw_affiliation_strings":["School of Mechanical Engineering, Shandong University, P. R. China Key Laboratory of High Efficiency and Clean Mechanical Manufacture Shandong University, Ministry of Education, P. R. China, Jinan, China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Shandong University, P. R. China Key Laboratory of High Efficiency and Clean Mechanical Manufacture Shandong University, Ministry of Education, P. R. China, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102915701","display_name":"Songhua Ma","orcid":"https://orcid.org/0000-0001-8869-3013"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"SongHua Ma","raw_affiliation_strings":["Shenzhen Research Institute of Shandong University, P. R. China School of Mechanical Engineering, Shandong University, P. R. China Key Laboratory of High Efficiency and Clean Mechanical Manufacture Shandong University, Ministry of Education, P. R. China, Jinan, China"],"affiliations":[{"raw_affiliation_string":"Shenzhen Research Institute of Shandong University, P. R. China School of Mechanical Engineering, Shandong University, P. R. China Key Laboratory of High Efficiency and Clean Mechanical Manufacture Shandong University, Ministry of Education, P. R. China, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100358064","display_name":"Zhaohui Wang","orcid":"https://orcid.org/0009-0002-7793-0292"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"ZhaoHui Wang","raw_affiliation_strings":["School of Mechanical Engineering, Shandong University, P. R. China Key Laboratory of High Efficiency and Clean Mechanical Manufacture Shandong University, Ministry of Education, P. R. China, Jinan, China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Shandong University, P. R. China Key Laboratory of High Efficiency and Clean Mechanical Manufacture Shandong University, Ministry of Education, P. R. China, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5015508692"],"corresponding_institution_ids":["https://openalex.org/I154099455"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.10312899,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"20","last_page":"24"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9979000091552734,"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"}},"topics":[{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9979000091552734,"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":0.9958000183105469,"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"}},{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.988099992275238,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.6988178491592407},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6675602793693542},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5909615755081177},{"id":"https://openalex.org/keywords/surface-reconstruction","display_name":"Surface reconstruction","score":0.5613315105438232},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5314748883247375},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.5023236274719238},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.45900958776474},{"id":"https://openalex.org/keywords/coordinate-system","display_name":"Coordinate system","score":0.4501098692417145},{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.44249674677848816},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4246615171432495},{"id":"https://openalex.org/keywords/structure-tensor","display_name":"Structure tensor","score":0.4212811589241028},{"id":"https://openalex.org/keywords/surface","display_name":"Surface (topology)","score":0.4157960116863251},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.4103911817073822},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.30444684624671936},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2641230821609497},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.1784020960330963}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6988178491592407},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6675602793693542},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5909615755081177},{"id":"https://openalex.org/C20885615","wikidata":"https://www.wikidata.org/wiki/Q825595","display_name":"Surface reconstruction","level":3,"score":0.5613315105438232},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5314748883247375},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.5023236274719238},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.45900958776474},{"id":"https://openalex.org/C80551277","wikidata":"https://www.wikidata.org/wiki/Q11210","display_name":"Coordinate system","level":2,"score":0.4501098692417145},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.44249674677848816},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4246615171432495},{"id":"https://openalex.org/C113315163","wikidata":"https://www.wikidata.org/wiki/Q7625159","display_name":"Structure tensor","level":3,"score":0.4212811589241028},{"id":"https://openalex.org/C2776799497","wikidata":"https://www.wikidata.org/wiki/Q484298","display_name":"Surface (topology)","level":2,"score":0.4157960116863251},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.4103911817073822},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.30444684624671936},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2641230821609497},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.1784020960330963},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3417519.3417549","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3417519.3417549","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 5th International Conference on Biomedical Signal and Image Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.5400000214576721,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1547791452","https://openalex.org/W1578182470","https://openalex.org/W1993496280","https://openalex.org/W2000016823","https://openalex.org/W2044250551","https://openalex.org/W2051477566","https://openalex.org/W2069027079","https://openalex.org/W2075815012","https://openalex.org/W2110774752","https://openalex.org/W2135358179","https://openalex.org/W2172155788","https://openalex.org/W2347238817","https://openalex.org/W2377835362"],"related_works":["https://openalex.org/W2358149864","https://openalex.org/W3133812613","https://openalex.org/W4385921699","https://openalex.org/W2368534456","https://openalex.org/W2984093360","https://openalex.org/W2027037317","https://openalex.org/W2394211896","https://openalex.org/W89301254","https://openalex.org/W2623954137","https://openalex.org/W2565180558"],"abstract_inverted_index":{"It":[0],"is":[1],"of":[2,8,17,32,48,64,109,137,165],"great":[3],"significance":[4],"for":[5],"the":[6,39,60,65,69,78,83,87,98,107,118,135,139,144,157],"treatment":[7],"oral":[9,21,36,49],"diseases":[10],"to":[11,26,97,105,152],"establish":[12,27],"a":[13,28,110],"digital":[14,30],"3d":[15,29],"model":[16,31,46,104,120,159,175],"teeth":[18,33],"based":[19],"on":[20],"CT":[22,37,50,150],"images.":[23],"In":[24],"order":[25],"by":[34,67,76,162],"using":[35,68,77,170],"images,":[38],"contour":[40,108],"segmentation,":[41],"coordinate":[42,154],"transformation":[43],"and":[44,72,131,156],"surface":[45,158,163,174,184],"reconstruction":[47,164],"images":[51],"are":[52],"required.":[53],"The":[54,113,173],"structure":[55,62],"tensor":[56,80,93],"information":[57,63,81,94],"can":[58,121],"reflect":[59],"local":[61,79],"image":[66],"multi-channel":[70],"information,":[71],"many":[73],"models":[74],"constructed":[75],"have":[82],"de-noising":[84],"effect.":[85],"Therefore,":[86],"area":[88,130],"term":[89],"fused":[90],"with":[91],"structural":[92],"was":[95,141,160],"added":[96],"(Local":[99],"Gaussian":[100],"Distribution":[101],"Fitting)":[102],"LGDF":[103],"segment":[106],"single":[111],"tooth.":[112],"segmentation":[114,136],"results":[115],"show":[116],"that":[117],"improved":[119],"be":[122],"segmented":[123],"into":[124],"ideal":[125],"contours":[126,140,145],"without":[127],"Interference":[128],"noise":[129],"false":[132],"boundary.":[133],"After":[134],"all":[138,143],"completed,":[142],"were":[146],"converted":[147],"from":[148],"two-dimensional":[149],"coordinates":[151],"three-dimensional":[153,166],"forms,":[155],"obtained":[161],"scattered":[167],"point":[168],"cloud":[169],"Crust":[171],"algorithm.":[172],"construction":[176],"method":[177],"proposed":[178],"in":[179],"this":[180],"paper":[181],"has":[182],"better":[183],"quality.":[185]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}