{"id":"https://openalex.org/W2051067533","doi":"https://doi.org/10.1109/bmei.2012.6512895","title":"3D medical image segmentation based on active contour model","display_name":"3D medical image segmentation based on active contour model","publication_year":2012,"publication_date":"2012-10-01","ids":{"openalex":"https://openalex.org/W2051067533","doi":"https://doi.org/10.1109/bmei.2012.6512895","mag":"2051067533"},"language":"en","primary_location":{"id":"doi:10.1109/bmei.2012.6512895","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bmei.2012.6512895","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 5th International Conference on BioMedical Engineering and Informatics","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/A5100328859","display_name":"Shuai Zhang","orcid":"https://orcid.org/0000-0002-0801-8139"},"institutions":[{"id":"https://openalex.org/I80143920","display_name":"Shandong University of Science and Technology","ror":"https://ror.org/04gtjhw98","country_code":"CN","type":"education","lineage":["https://openalex.org/I80143920"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhang Shuai","raw_affiliation_strings":["College of Information Science and Engineering, Shandong University of Science and Technology, Qingdao, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Shandong University of Science and Technology, Qingdao, China","institution_ids":["https://openalex.org/I80143920"]}]},{"author_position":"last","author":{"id":null,"display_name":"Peng Yanjun","orcid":null},"institutions":[{"id":"https://openalex.org/I80143920","display_name":"Shandong University of Science and Technology","ror":"https://ror.org/04gtjhw98","country_code":"CN","type":"education","lineage":["https://openalex.org/I80143920"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Yanjun","raw_affiliation_strings":["College of Information Science and Engineering, Shandong University of Science and Technology, Qingdao, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Shandong University of Science and Technology, Qingdao, China","institution_ids":["https://openalex.org/I80143920"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100328859"],"corresponding_institution_ids":["https://openalex.org/I80143920"],"apc_list":null,"apc_paid":null,"fwci":0.2776,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.58110255,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"98","last_page":"102"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9994999766349792,"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":0.9994999766349792,"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9944000244140625,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9883999824523926,"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/active-contour-model","display_name":"Active contour model","score":0.825778603553772},{"id":"https://openalex.org/keywords/centroid","display_name":"Centroid","score":0.7175506949424744},{"id":"https://openalex.org/keywords/displacement","display_name":"Displacement (psychology)","score":0.6269205808639526},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6201733350753784},{"id":"https://openalex.org/keywords/initialization","display_name":"Initialization","score":0.5988573431968689},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5489178895950317},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4798528552055359},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.46885260939598083},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4639005661010742},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.45432084798812866},{"id":"https://openalex.org/keywords/contour-line","display_name":"Contour line","score":0.4462048411369324},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.42202818393707275},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.3649943768978119},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3352736830711365},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23992696404457092},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.09311899542808533},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.07118842005729675}],"concepts":[{"id":"https://openalex.org/C112353826","wikidata":"https://www.wikidata.org/wiki/Q127313","display_name":"Active contour model","level":4,"score":0.825778603553772},{"id":"https://openalex.org/C146599234","wikidata":"https://www.wikidata.org/wiki/Q511093","display_name":"Centroid","level":2,"score":0.7175506949424744},{"id":"https://openalex.org/C107551265","wikidata":"https://www.wikidata.org/wiki/Q1458245","display_name":"Displacement (psychology)","level":2,"score":0.6269205808639526},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6201733350753784},{"id":"https://openalex.org/C114466953","wikidata":"https://www.wikidata.org/wiki/Q6034165","display_name":"Initialization","level":2,"score":0.5988573431968689},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5489178895950317},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4798528552055359},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.46885260939598083},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4639005661010742},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.45432084798812866},{"id":"https://openalex.org/C86069527","wikidata":"https://www.wikidata.org/wiki/Q6653802","display_name":"Contour line","level":2,"score":0.4462048411369324},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.42202818393707275},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.3649943768978119},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3352736830711365},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23992696404457092},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.09311899542808533},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.07118842005729675},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bmei.2012.6512895","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bmei.2012.6512895","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 5th International Conference on BioMedical Engineering and Informatics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.49000000953674316}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1990214628","https://openalex.org/W2041586829","https://openalex.org/W2043647324","https://openalex.org/W2086921140","https://openalex.org/W2099692740","https://openalex.org/W2104095591","https://openalex.org/W2106507900","https://openalex.org/W2142722911","https://openalex.org/W2145803225","https://openalex.org/W2171459511","https://openalex.org/W3211330693"],"related_works":["https://openalex.org/W3204184292","https://openalex.org/W3176564347","https://openalex.org/W1985458517","https://openalex.org/W2355833770","https://openalex.org/W3031039437","https://openalex.org/W4387877362","https://openalex.org/W4385595302","https://openalex.org/W2351917300","https://openalex.org/W2375013257","https://openalex.org/W2947322168"],"abstract_inverted_index":{"Contour":[0],"initialization":[1,113],"is":[2,76],"a":[3],"big":[4],"problem":[5,114],"of":[6,14,39,59,64,70,86,89,98,115],"the":[7,11,15,32,36,40,57,60,65,68,80,84,87,90,101,105,111,116],"active":[8,118],"contours.":[9],"Using":[10],"continuous":[12,49],"features":[13],"three-dimensional":[16],"medical":[17],"image,":[18],"this":[19],"paper":[20],"proposes":[21],"an":[22],"initial":[23,106],"contour":[24,112,119],"prediction":[25,97],"model.":[26],"There":[27],"are":[28],"some":[29],"changes":[30,47,99],"in":[31,35,67,100],"boundary":[33],"contours":[34],"adjacent":[37],"images":[38],"same":[41],"object":[42],"and":[43,51,54,62,83],"we":[44,108],"attribute":[45],"these":[46],"to":[48,78],"translation":[50],"similar":[52],"deformation,":[53],"quantify":[55],"into":[56],"displacement":[58,63,82,85],"centroid":[61,81],"point":[66],"direction":[69],"Normal.":[71],"The":[72],"curve":[73],"fitting":[74],"method":[75],"used":[77],"predict":[79],"points":[88],"contours,":[91],"which":[92],"can":[93],"provide":[94],"more":[95],"accurate":[96],"contour.":[102],"By":[103],"predicting":[104],"contour,":[107],"have":[109],"solved":[110],"parametric":[117],"with":[120],"external":[121],"force":[122],"using":[123],"vector":[124],"field":[125],"convolution.":[126]},"counts_by_year":[{"year":2015,"cited_by_count":1}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}