{"id":"https://openalex.org/W2085113925","doi":"https://doi.org/10.1117/12.2006745","title":"A method for automated anatomical labeling of abdominal veins extracted from 3D CT images","display_name":"A method for automated anatomical labeling of abdominal veins extracted from 3D CT images","publication_year":2013,"publication_date":"2013-03-13","ids":{"openalex":"https://openalex.org/W2085113925","doi":"https://doi.org/10.1117/12.2006745","mag":"2085113925"},"language":"en","primary_location":{"id":"doi:10.1117/12.2006745","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2006745","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","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/A5101054045","display_name":"Tetsuro Matsuzaki","orcid":null},"institutions":[{"id":"https://openalex.org/I60134161","display_name":"Nagoya University","ror":"https://ror.org/04chrp450","country_code":"JP","type":"education","lineage":["https://openalex.org/I60134161"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Tetsuro Matsuzaki","raw_affiliation_strings":["Nagoya Univ. (Japan)","[Nagoya University, Japan]"],"affiliations":[{"raw_affiliation_string":"Nagoya Univ. (Japan)","institution_ids":["https://openalex.org/I60134161"]},{"raw_affiliation_string":"[Nagoya University, Japan]","institution_ids":["https://openalex.org/I60134161"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074920808","display_name":"Masahiro Oda","orcid":"https://orcid.org/0000-0001-7714-422X"},"institutions":[{"id":"https://openalex.org/I60134161","display_name":"Nagoya University","ror":"https://ror.org/04chrp450","country_code":"JP","type":"education","lineage":["https://openalex.org/I60134161"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masahiro Oda","raw_affiliation_strings":["Nagoya Univ. (Japan)","[Nagoya University, Japan]"],"affiliations":[{"raw_affiliation_string":"Nagoya Univ. (Japan)","institution_ids":["https://openalex.org/I60134161"]},{"raw_affiliation_string":"[Nagoya University, Japan]","institution_ids":["https://openalex.org/I60134161"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004959911","display_name":"Takayuki Kitasaka","orcid":"https://orcid.org/0000-0003-1648-1999"},"institutions":[{"id":"https://openalex.org/I190508380","display_name":"Aichi Institute of Technology","ror":"https://ror.org/02qsepw74","country_code":"JP","type":"education","lineage":["https://openalex.org/I190508380"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takayuki Kitasaka","raw_affiliation_strings":["Aichi Institute of Technology (Japan)","Aichi Inst. of Technol., Japan#TAB#"],"affiliations":[{"raw_affiliation_string":"Aichi Institute of Technology (Japan)","institution_ids":["https://openalex.org/I190508380"]},{"raw_affiliation_string":"Aichi Inst. of Technol., Japan#TAB#","institution_ids":["https://openalex.org/I190508380"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054846833","display_name":"Yuichiro Hayashi","orcid":"https://orcid.org/0000-0001-5241-8669"},"institutions":[{"id":"https://openalex.org/I60134161","display_name":"Nagoya University","ror":"https://ror.org/04chrp450","country_code":"JP","type":"education","lineage":["https://openalex.org/I60134161"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yuichiro Hayashi","raw_affiliation_strings":["Nagoya Univ. (Japan)","[Nagoya University, Japan]"],"affiliations":[{"raw_affiliation_string":"Nagoya Univ. (Japan)","institution_ids":["https://openalex.org/I60134161"]},{"raw_affiliation_string":"[Nagoya University, Japan]","institution_ids":["https://openalex.org/I60134161"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030352004","display_name":"Kazunaru Misawa","orcid":null},"institutions":[{"id":"https://openalex.org/I4210133851","display_name":"Aichi Cancer Center","ror":"https://ror.org/03kfmm080","country_code":"JP","type":"healthcare","lineage":["https://openalex.org/I4210133851"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kazunaru Misawa","raw_affiliation_strings":["Aichi Cancer Ctr. Hospital (Japan)"],"affiliations":[{"raw_affiliation_string":"Aichi Cancer Ctr. Hospital (Japan)","institution_ids":["https://openalex.org/I4210133851"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032527419","display_name":"Kensaku Mori","orcid":"https://orcid.org/0000-0002-0100-4797"},"institutions":[{"id":"https://openalex.org/I60134161","display_name":"Nagoya University","ror":"https://ror.org/04chrp450","country_code":"JP","type":"education","lineage":["https://openalex.org/I60134161"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kensaku Mori","raw_affiliation_strings":["Nagoya Univ. (Japan)","[Nagoya University, Japan]"],"affiliations":[{"raw_affiliation_string":"Nagoya Univ. (Japan)","institution_ids":["https://openalex.org/I60134161"]},{"raw_affiliation_string":"[Nagoya University, Japan]","institution_ids":["https://openalex.org/I60134161"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5101054045"],"corresponding_institution_ids":["https://openalex.org/I60134161"],"apc_list":null,"apc_paid":null,"fwci":0.2722,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.61770251,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"8669","issue":null,"first_page":"86691Y","last_page":"86691Y"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9714999794960022,"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":0.9714999794960022,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.5475673079490662},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4998135566711426},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4946434199810028},{"id":"https://openalex.org/keywords/tree-structure","display_name":"Tree structure","score":0.4672683775424957},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.44769302010536194},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37638381123542786},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.35125717520713806},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.332381933927536},{"id":"https://openalex.org/keywords/anatomy","display_name":"Anatomy","score":0.3211114704608917},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21952977776527405},{"id":"https://openalex.org/keywords/binary-tree","display_name":"Binary tree","score":0.1409306824207306},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.10261496901512146}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5475673079490662},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4998135566711426},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4946434199810028},{"id":"https://openalex.org/C163797641","wikidata":"https://www.wikidata.org/wiki/Q2067937","display_name":"Tree structure","level":3,"score":0.4672683775424957},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.44769302010536194},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37638381123542786},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.35125717520713806},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.332381933927536},{"id":"https://openalex.org/C105702510","wikidata":"https://www.wikidata.org/wiki/Q514","display_name":"Anatomy","level":1,"score":0.3211114704608917},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21952977776527405},{"id":"https://openalex.org/C197855036","wikidata":"https://www.wikidata.org/wiki/Q380172","display_name":"Binary tree","level":2,"score":0.1409306824207306},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.10261496901512146},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2006745","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2006745","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320315724","display_name":"Kayamori Foundation of Informational Science Advancement","ror":null},{"id":"https://openalex.org/F4320320912","display_name":"Ministry of Education, Culture, Sports, Science and Technology","ror":"https://ror.org/048rj2z13"},{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2071459461","https://openalex.org/W2093885745","https://openalex.org/W2351266481","https://openalex.org/W2132547887","https://openalex.org/W2516987005","https://openalex.org/W2907786475","https://openalex.org/W2963447120","https://openalex.org/W4289082820","https://openalex.org/W2092152400","https://openalex.org/W2963196945"],"abstract_inverted_index":{"In":[0,160],"abdominal":[1,10,43,52,167],"surgery,":[2],"understanding":[3,28],"blood":[4,11,30],"vessel":[5,31,114,126],"structure":[6,136],"is":[7,48,65,119,150],"important":[8],"because":[9],"vessels":[12],"have":[13,74],"large":[14],"individual":[15],"differences":[16],"among":[17],"patients.":[18],"Computers":[19],"must":[20],"be":[21],"used":[22,120],"to":[23,50,89,157],"support":[24],"surgeons":[25],"and":[26,78,152,176,182],"their":[27],"of":[29,38,42,62,93,124,130,146,166],"structures.":[32],"This":[33],"paper":[34],"presents":[35],"a":[36,57,68,75,102],"method":[37],"automated":[39],"anatomical":[40,87,148,155],"labeling":[41,88],"veins.":[44],"A":[45],"thinning":[46],"process":[47,64],"applied":[49,85],"the":[51,63,81,122,125,131,134,142,154,158,170,173,177],"vein":[53],"regions":[54],"extracted":[55],"from":[56],"CT":[58,168],"volume.":[59],"The":[60,91,128],"result":[61],"expressed":[66],"as":[67,121],"tree":[69,135],"structure.":[70],"Since":[71],"portal":[72,82],"veins":[73,95],"characteristic":[76],"shape":[77],"position":[79],"in":[80,133],"system,":[83],"we":[84],"rule-based":[86],"them.":[90],"names":[92,129],"other":[94],"are":[96,110,137],"assigned":[97],"by":[98,101,139],"classifiers":[99],"trained":[100],"machine":[103],"learning":[104],"technique,":[105],"where":[106],"several":[107],"likelihood":[108,123,145],"functions":[109],"constructed":[111],"for":[112,141],"each":[113],"name.":[115,127],"Their":[116],"weighted":[117],"sum":[118],"branches":[132],"labeled":[138],"searching":[140],"branch":[143],"whose":[144],"an":[147,161],"name":[149,156],"maximum":[151],"assigning":[153],"branch.":[159],"experiment":[162],"using":[163],"50":[164],"cases":[165],"volumes,":[169],"recall":[171],"rate,":[172,175],"precision":[174],"F-measure":[178],"were":[179],"87.5,":[180],"93.1,":[181],"90.2%,":[183],"respectively.":[184]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}