{"id":"https://openalex.org/W3214517710","doi":"https://doi.org/10.1155/2021/4824613","title":"Adaptive Localizing Region\u2010Based Level Set for Segmentation of Maxillary Sinus Based on Convolutional Neural Networks","display_name":"Adaptive Localizing Region\u2010Based Level Set for Segmentation of Maxillary Sinus Based on Convolutional Neural Networks","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3214517710","doi":"https://doi.org/10.1155/2021/4824613","mag":"3214517710","pmid":"https://pubmed.ncbi.nlm.nih.gov/34804142"},"language":"en","primary_location":{"id":"doi:10.1155/2021/4824613","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2021/4824613","pdf_url":"https://downloads.hindawi.com/journals/cin/2021/4824613.pdf","source":{"id":"https://openalex.org/S72372694","display_name":"Computational Intelligence and Neuroscience","issn_l":"1687-5265","issn":["1687-5265","1687-5273"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Intelligence and Neuroscience","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://downloads.hindawi.com/journals/cin/2021/4824613.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5047634207","display_name":"Xianglong Qi","orcid":"https://orcid.org/0000-0002-9370-4386"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Xianglong Qi","raw_affiliation_strings":["Liaoning Huading Technology Co., Ltd., Shenyang, Liaoning 110167, China","Liaoning Huading Technology Co., Ltd., Shenyang, Liaoning 110167"],"affiliations":[{"raw_affiliation_string":"Liaoning Huading Technology Co., Ltd., Shenyang, Liaoning 110167, China","institution_ids":[]},{"raw_affiliation_string":"Liaoning Huading Technology Co., Ltd., Shenyang, Liaoning 110167","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016119978","display_name":"Jie Zhong","orcid":"https://orcid.org/0000-0002-5844-6799"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jie Zhong","raw_affiliation_strings":["JiangSu PangPu Network Technology Co., Ltd., JiangSu, China","JiangSu PangPu Network Technology Co., Ltd., JiangSu"],"affiliations":[{"raw_affiliation_string":"JiangSu PangPu Network Technology Co., Ltd., JiangSu, China","institution_ids":[]},{"raw_affiliation_string":"JiangSu PangPu Network Technology Co., Ltd., JiangSu","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084951207","display_name":"Shengjia Cui","orcid":"https://orcid.org/0000-0001-8884-0167"},"institutions":[{"id":"https://openalex.org/I98301712","display_name":"Baidu (China)","ror":"https://ror.org/03vs3wt56","country_code":"CN","type":"company","lineage":["https://openalex.org/I98301712"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shengjia Cui","raw_affiliation_strings":["Baidu.com Times Technology (Beijing) Co., Ltd., Beijing, China","Baidu.com Times Technology (Beijing) Co., Ltd., Beijing"],"affiliations":[{"raw_affiliation_string":"Baidu.com Times Technology (Beijing) Co., Ltd., Beijing, China","institution_ids":["https://openalex.org/I98301712"]},{"raw_affiliation_string":"Baidu.com Times Technology (Beijing) Co., Ltd., Beijing","institution_ids":["https://openalex.org/I98301712"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5047634207"],"corresponding_institution_ids":[],"apc_list":{"value":2100,"currency":"USD","value_usd":2100},"apc_paid":{"value":2100,"currency":"USD","value_usd":2100},"fwci":0.2083,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.54275949,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"2021","issue":"1","first_page":"4824613","last_page":"4824613"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11787","display_name":"Oral and Maxillofacial Pathology","score":0.9976000189781189,"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/T11787","display_name":"Oral and Maxillofacial Pathology","score":0.9976000189781189,"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/T11363","display_name":"Dental Radiography and Imaging","score":0.9889000058174133,"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":0.9702000021934509,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.8221390247344971},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.736292839050293},{"id":"https://openalex.org/keywords/maxima-and-minima","display_name":"Maxima and minima","score":0.7079570889472961},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6644322872161865},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6541163921356201},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6020174622535706},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4859220087528229},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19013693928718567}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.8221390247344971},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.736292839050293},{"id":"https://openalex.org/C186633575","wikidata":"https://www.wikidata.org/wiki/Q845060","display_name":"Maxima and minima","level":2,"score":0.7079570889472961},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6644322872161865},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6541163921356201},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6020174622535706},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4859220087528229},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19013693928718567},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008443","descriptor_name":"Maxillary Sinus","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D008443","descriptor_name":"Maxillary Sinus","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D008443","descriptor_name":"Maxillary Sinus","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":4,"locations":[{"id":"doi:10.1155/2021/4824613","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2021/4824613","pdf_url":"https://downloads.hindawi.com/journals/cin/2021/4824613.pdf","source":{"id":"https://openalex.org/S72372694","display_name":"Computational Intelligence and Neuroscience","issn_l":"1687-5265","issn":["1687-5265","1687-5273"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Intelligence and Neuroscience","raw_type":"journal-article"},{"id":"pmid:34804142","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34804142","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":"Computational intelligence and neuroscience","raw_type":null},{"id":"pmh:oai:doaj.org/article:a797e0413dda4af3ad46ad964c2891ab","is_oa":true,"landing_page_url":"https://doaj.org/article/a797e0413dda4af3ad46ad964c2891ab","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Computational Intelligence and Neuroscience, Vol 2021 (2021)","raw_type":"article"},{"id":"pmh:oai:pubmedcentral.nih.gov:8601823","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8601823","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Comput Intell Neurosci","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1155/2021/4824613","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2021/4824613","pdf_url":"https://downloads.hindawi.com/journals/cin/2021/4824613.pdf","source":{"id":"https://openalex.org/S72372694","display_name":"Computational Intelligence and Neuroscience","issn_l":"1687-5265","issn":["1687-5265","1687-5273"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Intelligence and Neuroscience","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3214517710.pdf","grobid_xml":"https://content.openalex.org/works/W3214517710.grobid-xml"},"referenced_works_count":37,"referenced_works":["https://openalex.org/W14539906","https://openalex.org/W120548689","https://openalex.org/W168951952","https://openalex.org/W1528875432","https://openalex.org/W1569930776","https://openalex.org/W1903029394","https://openalex.org/W1979393293","https://openalex.org/W1983049258","https://openalex.org/W1989135034","https://openalex.org/W1991113069","https://openalex.org/W1995443211","https://openalex.org/W2001191710","https://openalex.org/W2023297597","https://openalex.org/W2081203777","https://openalex.org/W2112796928","https://openalex.org/W2115664739","https://openalex.org/W2116040950","https://openalex.org/W2122184585","https://openalex.org/W2124446947","https://openalex.org/W2139478903","https://openalex.org/W2148395215","https://openalex.org/W2167922404","https://openalex.org/W2301358467","https://openalex.org/W2306029903","https://openalex.org/W2323929895","https://openalex.org/W2522454013","https://openalex.org/W2552029945","https://openalex.org/W2604272474","https://openalex.org/W2731708623","https://openalex.org/W2804484511","https://openalex.org/W2916027136","https://openalex.org/W2954123905","https://openalex.org/W3022746105","https://openalex.org/W3046199400","https://openalex.org/W3087462960","https://openalex.org/W3093066554","https://openalex.org/W3211330693"],"related_works":["https://openalex.org/W2375684291","https://openalex.org/W2354676191","https://openalex.org/W3188646203","https://openalex.org/W2909957174","https://openalex.org/W136674370","https://openalex.org/W4246278799","https://openalex.org/W2105527480","https://openalex.org/W2052387497","https://openalex.org/W2050203848","https://openalex.org/W2050191802"],"abstract_inverted_index":{"In":[0,96],"this":[1],"paper,":[2],"we":[3,56,194],"propose":[4],"a":[5,58,68,81,141,178,224],"novel":[6],"method,":[7,193,207],"an":[8,126,237],"adaptive":[9],"localizing":[10],"region-based":[11],"level":[12,108],"set":[13,109],"using":[14,80],"convolutional":[15,82,88],"neural":[16,83],"network,":[17],"for":[18,33],"improving":[19],"performance":[20],"of":[21,40,47,73,99,106,149,171,180,191],"maxillary":[22,76],"sinus":[23,27,77],"segmentation.":[24],"The":[25],"healthy":[26],"without":[28],"lesion":[29,74,113],"inside":[30],"is":[31],"easy":[32],"conventional":[34],"algorithms.":[35],"However,":[36],"in":[37,94,132],"practice,":[38],"most":[39],"the":[41,117,123,133,135,147,158,163,189],"cases":[42],"are":[43,78,101],"filled":[44],"with":[45,86,184,218],"lesions":[46],"great":[48],"heterogeneity":[49],"which":[50],"lead":[51],"to":[52,60,103,112,138,155],"lower":[53],"accuracy.":[54],"Therefore,":[55],"provide":[57],"strategy":[59],"avoid":[61],"active":[62],"contour":[63,124],"from":[64,157],"being":[65],"trapped":[66],"into":[67],"nontarget":[69],"area.":[70],"First,":[71],"features":[72],"and":[75,89,201,222,231],"studied":[79],"network":[84],"(CNN)":[85],"two":[87],"three":[90],"fully":[91],"connected":[92],"layers":[93],"architecture.":[95],"addition,":[97],"outputs":[98],"CNN":[100],"devised":[102],"evaluate":[104],"possibilities":[105],"zero":[107],"location":[110],"close":[111],"or":[114],"not.":[115],"Finally,":[116],"method":[118,173],"estimates":[119],"stable":[120],"points":[121],"on":[122,146,177,236],"by":[125,210],"interactive":[127],"process.":[128],"If":[129,161],"it":[130,196],"locates":[131],"lesion,":[134],"point":[136,164],"needs":[137],"be":[139],"paid":[140],"certain":[142],"speed":[143],"compensation":[144],"based":[145],"value":[148],"possibility":[150],"via":[151],"CNN,":[152],"assisting":[153],"itself":[154],"escape":[156],"local":[159],"minima.":[160],"not,":[162],"preserves":[165],"current":[166],"status":[167],"till":[168],"convergence.":[169],"Capabilities":[170],"our":[172,192,206],"have":[174],"been":[175],"demonstrated":[176],"dataset":[179],"200":[181],"CT":[182],"images":[183],"possible":[185],"lesions.":[186],"To":[187],"illustrate":[188],"strength":[190],"evaluated":[195],"against":[197],"state-of-the-art":[198],"methods,":[199],"FLS":[200,230],"CRF-FCN.":[202],"For":[203],"all":[204],"cases,":[205],"as":[208],"assessed":[209],"Dice":[211,226],"similarity":[212],"coefficients,":[213],"performed":[214],"significantly":[215],"better":[216],"compared":[217],"currently":[219],"available":[220],"methods":[221],"obtained":[223],"significant":[225],"improvement,":[227],"0.25":[228],"than":[229,233],"0.12":[232],"CRF-FCN,":[234],"respectively,":[235],"average.":[238]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}