{"id":"https://openalex.org/W2329749360","doi":"https://doi.org/10.1109/embc.2014.6944672","title":"Automatic segmentation of leg bones by using active contours","display_name":"Automatic segmentation of leg bones by using active contours","publication_year":2014,"publication_date":"2014-08-01","ids":{"openalex":"https://openalex.org/W2329749360","doi":"https://doi.org/10.1109/embc.2014.6944672","mag":"2329749360","pmid":"https://pubmed.ncbi.nlm.nih.gov/25571040"},"language":"en","primary_location":{"id":"doi:10.1109/embc.2014.6944672","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc.2014.6944672","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5100417561","display_name":"Sun\u2010Hee Kim","orcid":null},"institutions":[{"id":"https://openalex.org/I58716616","display_name":"Korea Institute of Science and Technology","ror":"https://ror.org/05kzfa883","country_code":"KR","type":"facility","lineage":["https://openalex.org/I27494661","https://openalex.org/I2801339556","https://openalex.org/I2801339556","https://openalex.org/I4210144908","https://openalex.org/I4387152098","https://openalex.org/I4387152098","https://openalex.org/I58716616"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Sunhee Kim","raw_affiliation_strings":["Center for Bionics, Korea Institute of Science and Technology, Seoul, Korea"],"affiliations":[{"raw_affiliation_string":"Center for Bionics, Korea Institute of Science and Technology, Seoul, Korea","institution_ids":["https://openalex.org/I58716616"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021167506","display_name":"Young Jun Kim","orcid":"https://orcid.org/0000-0003-2605-0922"},"institutions":[{"id":"https://openalex.org/I58716616","display_name":"Korea Institute of Science and Technology","ror":"https://ror.org/05kzfa883","country_code":"KR","type":"facility","lineage":["https://openalex.org/I27494661","https://openalex.org/I2801339556","https://openalex.org/I2801339556","https://openalex.org/I4210144908","https://openalex.org/I4387152098","https://openalex.org/I4387152098","https://openalex.org/I58716616"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Youngjun Kim","raw_affiliation_strings":["Center for Bionics, Korea Institute of Science and Technology, Seoul, Korea"],"affiliations":[{"raw_affiliation_string":"Center for Bionics, Korea Institute of Science and Technology, Seoul, Korea","institution_ids":["https://openalex.org/I58716616"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069513364","display_name":"Sehyung Park","orcid":null},"institutions":[{"id":"https://openalex.org/I58716616","display_name":"Korea Institute of Science and Technology","ror":"https://ror.org/05kzfa883","country_code":"KR","type":"facility","lineage":["https://openalex.org/I27494661","https://openalex.org/I2801339556","https://openalex.org/I2801339556","https://openalex.org/I4210144908","https://openalex.org/I4387152098","https://openalex.org/I4387152098","https://openalex.org/I58716616"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sehyung Park","raw_affiliation_strings":["Center for Bionics, Korea Institute of Science and Technology, Seoul, Korea"],"affiliations":[{"raw_affiliation_string":"Center for Bionics, Korea Institute of Science and Technology, Seoul, Korea","institution_ids":["https://openalex.org/I58716616"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030942625","display_name":"Deukhee Lee","orcid":"https://orcid.org/0000-0001-7340-897X"},"institutions":[{"id":"https://openalex.org/I58716616","display_name":"Korea Institute of Science and Technology","ror":"https://ror.org/05kzfa883","country_code":"KR","type":"facility","lineage":["https://openalex.org/I27494661","https://openalex.org/I2801339556","https://openalex.org/I2801339556","https://openalex.org/I4210144908","https://openalex.org/I4387152098","https://openalex.org/I4387152098","https://openalex.org/I58716616"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Deukhee Lee","raw_affiliation_strings":["Center for Bionics, Korea Institute of Science and Technology, Seoul, Korea"],"affiliations":[{"raw_affiliation_string":"Center for Bionics, Korea Institute of Science and Technology, Seoul, Korea","institution_ids":["https://openalex.org/I58716616"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100417561"],"corresponding_institution_ids":["https://openalex.org/I58716616"],"apc_list":null,"apc_paid":null,"fwci":1.4632,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.86437148,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"21","issue":null,"first_page":"4695","last_page":"4698"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9994000196456909,"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":0.9994000196456909,"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/T12874","display_name":"Digital Imaging for Blood Diseases","score":0.9980999827384949,"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/T10862","display_name":"AI in cancer detection","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/active-contour-model","display_name":"Active contour model","score":0.7433137893676758},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7417793869972229},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6819955110549927},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6803860664367676},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.6778262853622437},{"id":"https://openalex.org/keywords/level-set","display_name":"Level set (data structures)","score":0.656954288482666},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.6076135635375977},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6060192584991455},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.511966347694397},{"id":"https://openalex.org/keywords/computed-tomography","display_name":"Computed tomography","score":0.4579308331012726},{"id":"https://openalex.org/keywords/active-appearance-model","display_name":"Active appearance model","score":0.4393538236618042},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4376091957092285},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.4206472337245941},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4113108515739441},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40160393714904785},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.39481398463249207}],"concepts":[{"id":"https://openalex.org/C112353826","wikidata":"https://www.wikidata.org/wiki/Q127313","display_name":"Active contour model","level":4,"score":0.7433137893676758},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7417793869972229},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6819955110549927},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6803860664367676},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.6778262853622437},{"id":"https://openalex.org/C153008295","wikidata":"https://www.wikidata.org/wiki/Q6535093","display_name":"Level set (data structures)","level":2,"score":0.656954288482666},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6076135635375977},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6060192584991455},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.511966347694397},{"id":"https://openalex.org/C544519230","wikidata":"https://www.wikidata.org/wiki/Q32566","display_name":"Computed tomography","level":2,"score":0.4579308331012726},{"id":"https://openalex.org/C83248878","wikidata":"https://www.wikidata.org/wiki/Q344000","display_name":"Active appearance model","level":3,"score":0.4393538236618042},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4376091957092285},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.4206472337245941},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4113108515739441},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40160393714904785},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.39481398463249207},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"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/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","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":"D007867","descriptor_name":"Leg Bones","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D007867","descriptor_name":"Leg Bones","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D007867","descriptor_name":"Leg Bones","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/embc.2014.6944672","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc.2014.6944672","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society","raw_type":"proceedings-article"},{"id":"pmid:25571040","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/25571040","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":"Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1976135066","https://openalex.org/W1991113069","https://openalex.org/W2009767800","https://openalex.org/W2112891016","https://openalex.org/W2115720090","https://openalex.org/W2116040950","https://openalex.org/W2139478903","https://openalex.org/W2149717766","https://openalex.org/W2157082243","https://openalex.org/W2167354555","https://openalex.org/W6681782406"],"related_works":["https://openalex.org/W2368150111","https://openalex.org/W2115886240","https://openalex.org/W2125739208","https://openalex.org/W1990273919","https://openalex.org/W2098360446","https://openalex.org/W2299318636","https://openalex.org/W1516772332","https://openalex.org/W2888165508","https://openalex.org/W2168406752","https://openalex.org/W3023152879"],"abstract_inverted_index":{"In":[0],"this":[1,56],"paper,":[2],"we":[3],"present":[4],"a":[5,23,92,101,111],"new":[6],"active":[7],"contours":[8],"model":[9,32,57],"to":[10],"segment":[11],"human":[12,66],"leg":[13,67],"bones":[14],"in":[15,62,134],"computed":[16,120],"tomography":[17,121],"images":[18,122],"that":[19],"is":[20,58,106],"based":[21,113],"on":[22],"variable-weighted":[24],"combination":[25],"of":[26,55,73,91,130],"local":[27],"and":[28,41,44,77,126],"global":[29],"intensity.":[30],"This":[31],"can":[33],"split":[34],"an":[35,88],"object":[36],"surrounded":[37],"by":[38,109],"both":[39],"weak":[40],"strong":[42],"boundaries,":[43],"also":[45],"distinguish":[46],"very":[47,84],"adjacent":[48],"objects":[49,76],"with":[50,119],"those":[51],"boundaries.":[52],"The":[53],"ability":[54],"required":[59],"for":[60],"segmentation":[61,115],"medical":[63],"images,":[64],"e.g.,":[65],"bones,":[68],"which":[69],"are":[70,83],"usually":[71],"composed":[72],"highly":[74],"inhomogeneous":[75],"where":[78],"the":[79,128,131],"distances":[80],"among":[81],"organs":[82],"close.":[85],"We":[86,117],"developed":[87],"evolution":[89],"equation":[90],"level":[93,98],"set":[94,99],"function":[95],"whose":[96],"zero":[97],"represents":[100],"contour.":[102],"An":[103],"initial":[104],"contour":[105],"automatically":[107],"obtained":[108],"applying":[110],"histogram":[112],"multiphase":[114],"method.":[116],"experimented":[118],"from":[123],"three":[124],"patients,":[125],"demonstrate":[127],"efficiency":[129],"proposed":[132],"method":[133],"experimental":[135],"results.":[136]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
