{"id":"https://openalex.org/W1497247270","doi":"https://doi.org/10.1155/2015/789485","title":"A Method for Lung Boundary Correction Using Split Bregman Method and Geometric Active Contour Model","display_name":"A Method for Lung Boundary Correction Using Split Bregman Method and Geometric Active Contour Model","publication_year":2015,"publication_date":"2015-01-01","ids":{"openalex":"https://openalex.org/W1497247270","doi":"https://doi.org/10.1155/2015/789485","mag":"1497247270","pmid":"https://pubmed.ncbi.nlm.nih.gov/26089976"},"language":"en","primary_location":{"id":"doi:10.1155/2015/789485","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2015/789485","pdf_url":"https://downloads.hindawi.com/journals/cmmm/2015/789485.pdf","source":{"id":"https://openalex.org/S36980176","display_name":"Computational and Mathematical Methods in Medicine","issn_l":"1748-670X","issn":["1748-670X","1748-6718"],"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 and Mathematical Methods in Medicine","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/cmmm/2015/789485.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103151428","display_name":"Changli Feng","orcid":"https://orcid.org/0000-0002-5435-9559"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]},{"id":"https://openalex.org/I4210118050","display_name":"Taishan University","ror":"https://ror.org/02bpnkx55","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210118050"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Changli Feng","raw_affiliation_strings":["Department of Information Science and Technology, Taishan University, Taian 271021, China","Tianjin Key Laboratory of Intelligent Robotics, Institute of Robotics and Automatic Information System, College of Computer and Control Engineering, Nankai University, No. 94 Weijin Road, Tianjin 300071, China"],"raw_orcid":"https://orcid.org/0000-0002-5435-9559","affiliations":[{"raw_affiliation_string":"Department of Information Science and Technology, Taishan University, Taian 271021, China","institution_ids":["https://openalex.org/I4210118050"]},{"raw_affiliation_string":"Tianjin Key Laboratory of Intelligent Robotics, Institute of Robotics and Automatic Information System, College of Computer and Control Engineering, Nankai University, No. 94 Weijin Road, Tianjin 300071, China","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073673970","display_name":"Jianxun Zhang","orcid":"https://orcid.org/0000-0002-7398-7243"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jianxun Zhang","raw_affiliation_strings":["Tianjin Key Laboratory of Intelligent Robotics, Institute of Robotics and Automatic Information System, College of Computer and Control Engineering, Nankai University, No. 94 Weijin Road, Tianjin 300071, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tianjin Key Laboratory of Intelligent Robotics, Institute of Robotics and Automatic Information System, College of Computer and Control Engineering, Nankai University, No. 94 Weijin Road, Tianjin 300071, China","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027836208","display_name":"Rui Liang","orcid":"https://orcid.org/0000-0002-5095-9637"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rui Liang","raw_affiliation_strings":["Tianjin Key Laboratory of Intelligent Robotics, Institute of Robotics and Automatic Information System, College of Computer and Control Engineering, Nankai University, No. 94 Weijin Road, Tianjin 300071, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tianjin Key Laboratory of Intelligent Robotics, Institute of Robotics and Automatic Information System, College of Computer and Control Engineering, Nankai University, No. 94 Weijin Road, Tianjin 300071, China","institution_ids":["https://openalex.org/I205237279"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5073673970"],"corresponding_institution_ids":["https://openalex.org/I205237279"],"apc_list":{"value":2550,"currency":"USD","value_usd":2550},"apc_paid":{"value":2550,"currency":"USD","value_usd":2550},"fwci":0.4894,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.66316926,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"2015","issue":null,"first_page":"1","last_page":"14"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9975000023841858,"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"}},"topics":[{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9975000023841858,"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/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/T10202","display_name":"Lung Cancer Diagnosis and Treatment","score":0.9927999973297119,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"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/active-contour-model","display_name":"Active contour model","score":0.7967867255210876},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.686184823513031},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.6049212217330933},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5424892902374268},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5291016101837158},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.5124471783638},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4969480335712433},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4845637381076813},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4761410057544708},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.43389105796813965},{"id":"https://openalex.org/keywords/structure-tensor","display_name":"Structure tensor","score":0.4181380867958069},{"id":"https://openalex.org/keywords/active-shape-model","display_name":"Active shape model","score":0.41284430027008057},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4087051451206207},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39965102076530457},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3650628924369812},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.3217211365699768},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.23715919256210327},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.10710659623146057}],"concepts":[{"id":"https://openalex.org/C112353826","wikidata":"https://www.wikidata.org/wiki/Q127313","display_name":"Active contour model","level":4,"score":0.7967867255210876},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.686184823513031},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.6049212217330933},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5424892902374268},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5291016101837158},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.5124471783638},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4969480335712433},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4845637381076813},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4761410057544708},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.43389105796813965},{"id":"https://openalex.org/C113315163","wikidata":"https://www.wikidata.org/wiki/Q7625159","display_name":"Structure tensor","level":3,"score":0.4181380867958069},{"id":"https://openalex.org/C129641003","wikidata":"https://www.wikidata.org/wiki/Q267189","display_name":"Active shape model","level":3,"score":0.41284430027008057},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4087051451206207},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39965102076530457},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3650628924369812},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3217211365699768},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.23715919256210327},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.10710659623146057},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008168","descriptor_name":"Lung","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D008168","descriptor_name":"Lung","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D008168","descriptor_name":"Lung","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D008953","descriptor_name":"Models, Anatomic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008953","descriptor_name":"Models, Anatomic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008953","descriptor_name":"Models, Anatomic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011857","descriptor_name":"Radiographic Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D011857","descriptor_name":"Radiographic Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D011857","descriptor_name":"Radiographic Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false}],"locations_count":4,"locations":[{"id":"doi:10.1155/2015/789485","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2015/789485","pdf_url":"https://downloads.hindawi.com/journals/cmmm/2015/789485.pdf","source":{"id":"https://openalex.org/S36980176","display_name":"Computational and Mathematical Methods in Medicine","issn_l":"1748-670X","issn":["1748-670X","1748-6718"],"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 and Mathematical Methods in Medicine","raw_type":"journal-article"},{"id":"pmid:26089976","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/26089976","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 and mathematical methods in medicine","raw_type":null},{"id":"pmh:oai:doaj.org/article:a93859ea2d5b42bd8bf5f7fa0adddbd2","is_oa":false,"landing_page_url":"https://doaj.org/article/a93859ea2d5b42bd8bf5f7fa0adddbd2","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Computational and Mathematical Methods in Medicine, Vol 2015 (2015)","raw_type":"article"},{"id":"pmh:oai:europepmc.org:3433023","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/4450299","pdf_url":null,"source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"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":null,"raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1155/2015/789485","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2015/789485","pdf_url":"https://downloads.hindawi.com/journals/cmmm/2015/789485.pdf","source":{"id":"https://openalex.org/S36980176","display_name":"Computational and Mathematical Methods in Medicine","issn_l":"1748-670X","issn":["1748-670X","1748-6718"],"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 and Mathematical Methods in Medicine","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W1497247270.pdf","grobid_xml":"https://content.openalex.org/works/W1497247270.grobid-xml"},"referenced_works_count":29,"referenced_works":["https://openalex.org/W1584080523","https://openalex.org/W1967433437","https://openalex.org/W1970089523","https://openalex.org/W1980165406","https://openalex.org/W1983419647","https://openalex.org/W1989135034","https://openalex.org/W1989592952","https://openalex.org/W2016672701","https://openalex.org/W2038495454","https://openalex.org/W2051477566","https://openalex.org/W2054648089","https://openalex.org/W2057507217","https://openalex.org/W2065350495","https://openalex.org/W2073748076","https://openalex.org/W2089549968","https://openalex.org/W2091963423","https://openalex.org/W2095049733","https://openalex.org/W2095574171","https://openalex.org/W2101973635","https://openalex.org/W2109424250","https://openalex.org/W2111620695","https://openalex.org/W2112563636","https://openalex.org/W2116040950","https://openalex.org/W2122288469","https://openalex.org/W2135095945","https://openalex.org/W2139478903","https://openalex.org/W2140775860","https://openalex.org/W2143302669","https://openalex.org/W2145803225"],"related_works":["https://openalex.org/W2063312490","https://openalex.org/W1861675581","https://openalex.org/W102157910","https://openalex.org/W2384347880","https://openalex.org/W1491976205","https://openalex.org/W2333568777","https://openalex.org/W1968615915","https://openalex.org/W4206356767","https://openalex.org/W2368765189","https://openalex.org/W2387003628"],"abstract_inverted_index":{"In":[0],"order":[1],"to":[2,88,108,133,150],"get":[3,97],"the":[4,35,38,44,59,66,79,83,94,98,102,109,114,122,128,135,139,143,152,162,165,189],"extracted":[5,50],"lung":[6,17,46,190],"region":[7,18,120],"from":[8],"CT":[9],"images":[10],"more":[11],"accurately,":[12],"a":[13,27,89,125],"model":[14,56,85,96,147,170,186],"that":[15,78,137,184],"contains":[16],"extraction":[19],"and":[20,70,113,121,127,155,168,180,193],"edge":[21,29,68],"boundary":[22,136,154,191],"correction":[23,169],"is":[24,32,48,75,86,148],"proposed.":[25],"Firstly,":[26],"new":[28,67],"detection":[30],"function":[31,81],"presented":[33],"with":[34,173],"help":[36],"of":[37,82,164],"classic":[39],"structure":[40],"tensor":[41],"theory.":[42],"Secondly,":[43],"initial":[45],"mask":[47],"automatically":[49],"by":[51,171],"an":[52,71],"improved":[53,84],"active":[54,145],"contour":[55,146],"which":[57,92],"combines":[58],"global":[60,99],"intensity":[61,64],"information,":[62,65,69],"local":[63],"adaptive":[72],"weight.":[73],"It":[74],"worth":[76],"noting":[77],"objective":[80],"converted":[87],"convex":[90],"model,":[91],"makes":[93],"proposed":[95,166],"minimum.":[100],"Then,":[101],"central":[103],"airway":[104],"was":[105],"excluded":[106],"according":[107],"spatial":[110],"context":[111],"messages":[112],"position":[115],"relationship":[116],"between":[117],"every":[118],"segmented":[119],"rib.":[123],"Thirdly,":[124],"mesh":[126],"fractal":[129],"theory":[130],"are":[131],"used":[132],"detect":[134],"surrounds":[138],"juxtapleural":[140,157],"nodule.":[141],"Finally,":[142],"geometric":[144],"employed":[149],"correct":[151,188],"detected":[153],"reinclude":[156],"nodules.":[158],"We":[159],"also":[160],"evaluated":[161],"performance":[163],"segmentation":[167],"comparing":[172],"their":[174],"popular":[175],"counterparts.":[176],"Efficient":[177],"computing":[178],"capability":[179],"robustness":[181],"property":[182],"prove":[183],"our":[185],"can":[187],"reliably":[192],"reproducibly.":[194]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}