{"id":"https://openalex.org/W2052824967","doi":"https://doi.org/10.4304/jmm.5.3.208-215","title":"Gray Cerebrovascular Image Skeleton Extraction Algorithm Using Level Set Model","display_name":"Gray Cerebrovascular Image Skeleton Extraction Algorithm Using Level Set Model","publication_year":2010,"publication_date":"2010-06-01","ids":{"openalex":"https://openalex.org/W2052824967","doi":"https://doi.org/10.4304/jmm.5.3.208-215","mag":"2052824967"},"language":"en","primary_location":{"id":"doi:10.4304/jmm.5.3.208-215","is_oa":false,"landing_page_url":"https://doi.org/10.4304/jmm.5.3.208-215","pdf_url":null,"source":{"id":"https://openalex.org/S16006927","display_name":"Journal of Multimedia","issn_l":"1796-2048","issn":["1796-2048"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318660","host_organization_name":"Academy Publisher","host_organization_lineage":["https://openalex.org/P4310318660"],"host_organization_lineage_names":["Academy Publisher"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Multimedia","raw_type":"journal-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/A5058654086","display_name":"Jian Wu","orcid":"https://orcid.org/0000-0001-9933-7364"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jian Wu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100334985","display_name":"Guangming Zhang","orcid":"https://orcid.org/0000-0002-2351-2661"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Guang-ming Zhang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101968583","display_name":"Jie Xia","orcid":"https://orcid.org/0000-0002-6242-0006"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jie Xia","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5100602193","display_name":"Zhiming Cui","orcid":"https://orcid.org/0000-0002-6915-6834"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhi-ming Cui","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3174,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.59749844,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"5","issue":"3","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9952999949455261,"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":0.9952999949455261,"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":0.9753000140190125,"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/T14510","display_name":"Medical Imaging and Analysis","score":0.9573000073432922,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6715904474258423},{"id":"https://openalex.org/keywords/skeleton","display_name":"Skeleton (computer programming)","score":0.642406165599823},{"id":"https://openalex.org/keywords/gray","display_name":"Gray (unit)","score":0.5900928974151611},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5597659945487976},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.477123498916626},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.44624608755111694},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4087026119232178},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.40777575969696045},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.08837389945983887}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6715904474258423},{"id":"https://openalex.org/C18969341","wikidata":"https://www.wikidata.org/wiki/Q1169129","display_name":"Skeleton (computer programming)","level":2,"score":0.642406165599823},{"id":"https://openalex.org/C166275286","wikidata":"https://www.wikidata.org/wiki/Q190095","display_name":"Gray (unit)","level":2,"score":0.5900928974151611},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5597659945487976},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.477123498916626},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.44624608755111694},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4087026119232178},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.40777575969696045},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.08837389945983887},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.4304/jmm.5.3.208-215","is_oa":false,"landing_page_url":"https://doi.org/10.4304/jmm.5.3.208-215","pdf_url":null,"source":{"id":"https://openalex.org/S16006927","display_name":"Journal of Multimedia","issn_l":"1796-2048","issn":["1796-2048"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318660","host_organization_name":"Academy Publisher","host_organization_lineage":["https://openalex.org/P4310318660"],"host_organization_lineage_names":["Academy Publisher"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Multimedia","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.47999998927116394,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1569930776","https://openalex.org/W2000023163","https://openalex.org/W2062558938","https://openalex.org/W2107455488","https://openalex.org/W2121919987","https://openalex.org/W2160106931","https://openalex.org/W2165826219"],"related_works":["https://openalex.org/W2808615211","https://openalex.org/W4250628736","https://openalex.org/W4246259471","https://openalex.org/W4239226046","https://openalex.org/W4246457037","https://openalex.org/W4242705089","https://openalex.org/W2049142306","https://openalex.org/W659309325","https://openalex.org/W1989714207","https://openalex.org/W4254289682"],"abstract_inverted_index":{"The":[0,80],"ambiguity":[1],"and":[2,39,65,149,190],"complexity":[3],"of":[4,95,111,135,153],"medical":[5],"cerebrovascular":[8,47],"i":[11],"mage":[13],"makes":[16],"the":[17,29,89,109,131,145,156,166,188],"skeleton":[18,22,51,112,138,157,167],"gained":[19],"by":[20,185],"conventional":[21],"algorithm":[23,55,141],"discontinuous,":[24],"which":[25,160],"is":[26,195],"sensitive":[27],"at":[28],"weak":[30],"edges,":[31],"with":[32],"poor":[33],"robust":[34],"ness":[36],"too":[40],"many":[41],"burrs.":[42],"This":[43,140],"paper":[44],"proposes":[45],"a":[46],"image":[48],"extraction":[54,134,168],"based":[56],"on":[57],"Level":[58],"Set":[59],"model,":[60],"using":[61],"Euclidean":[62],"distance":[63],"field":[64],"improv":[68],"ed":[70],"gradient":[71],"vector":[72],"flow":[73],"to":[74],"obtain":[75,94],"two":[76],"different":[77],"energy":[78,82,124],"functions.":[79],"first":[81],"function":[83,125],"control":[84,126],"s":[86,101,128],"topological":[98],"node":[99],"for":[106],"beginning":[110],"curve":[113],".":[115,170],"T":[120],"he":[122],"second":[123],"surface.":[139],"avoids":[142],"locating":[148],"classifying":[150],"connection":[158],"points":[159],"guide":[163],"B":[175],"ecause":[177],"all":[178],"its":[179],"parameters":[180],"are":[181],"gotten":[184],"analysis":[189],"reasoning,":[191],"no":[192],"artificial":[193],"interference":[194],"needed.":[196]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
