{"id":"https://openalex.org/W2022227810","doi":"https://doi.org/10.1117/12.2007546","title":"Blood vessel-based liver segmentation through the portal phase of a CT dataset","display_name":"Blood vessel-based liver segmentation through the portal phase of a CT dataset","publication_year":2013,"publication_date":"2013-02-26","ids":{"openalex":"https://openalex.org/W2022227810","doi":"https://doi.org/10.1117/12.2007546","mag":"2022227810"},"language":"en","primary_location":{"id":"doi:10.1117/12.2007546","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2007546","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/A5022700854","display_name":"Ahmed S. Maklad","orcid":"https://orcid.org/0000-0003-2201-7084"},"institutions":[{"id":"https://openalex.org/I922474255","display_name":"Tokushima University","ror":"https://ror.org/044vy1d05","country_code":"JP","type":"education","lineage":["https://openalex.org/I922474255"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Ahmed S. Maklad","raw_affiliation_strings":["Univ. of Tokushima (Japan)","University of Tokushima,  Japan"],"affiliations":[{"raw_affiliation_string":"Univ. of Tokushima (Japan)","institution_ids":["https://openalex.org/I922474255"]},{"raw_affiliation_string":"University of Tokushima,  Japan","institution_ids":["https://openalex.org/I922474255"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113548875","display_name":"Mikio Matsuhiro","orcid":null},"institutions":[{"id":"https://openalex.org/I922474255","display_name":"Tokushima University","ror":"https://ror.org/044vy1d05","country_code":"JP","type":"education","lineage":["https://openalex.org/I922474255"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Mikio Matsuhiro","raw_affiliation_strings":["Univ. of Tokushima (Japan)","University of Tokushima,  Japan"],"affiliations":[{"raw_affiliation_string":"Univ. of Tokushima (Japan)","institution_ids":["https://openalex.org/I922474255"]},{"raw_affiliation_string":"University of Tokushima,  Japan","institution_ids":["https://openalex.org/I922474255"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085175647","display_name":"Hidenobu Suzuki","orcid":"https://orcid.org/0000-0002-2605-1100"},"institutions":[{"id":"https://openalex.org/I922474255","display_name":"Tokushima University","ror":"https://ror.org/044vy1d05","country_code":"JP","type":"education","lineage":["https://openalex.org/I922474255"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hidenobu Suzuki","raw_affiliation_strings":["University of Tokushima,  Japan"],"affiliations":[{"raw_affiliation_string":"University of Tokushima,  Japan","institution_ids":["https://openalex.org/I922474255"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003127183","display_name":"Yoshiki Kawata","orcid":"https://orcid.org/0000-0003-0437-8740"},"institutions":[{"id":"https://openalex.org/I922474255","display_name":"Tokushima University","ror":"https://ror.org/044vy1d05","country_code":"JP","type":"education","lineage":["https://openalex.org/I922474255"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yoshiki Kawata","raw_affiliation_strings":["Univ. of Tokushima (Japan)","University of Tokushima,  Japan"],"affiliations":[{"raw_affiliation_string":"Univ. of Tokushima (Japan)","institution_ids":["https://openalex.org/I922474255"]},{"raw_affiliation_string":"University of Tokushima,  Japan","institution_ids":["https://openalex.org/I922474255"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013719582","display_name":"Noboru Niki","orcid":null},"institutions":[{"id":"https://openalex.org/I922474255","display_name":"Tokushima University","ror":"https://ror.org/044vy1d05","country_code":"JP","type":"education","lineage":["https://openalex.org/I922474255"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Noboru Niki","raw_affiliation_strings":["Univ. of Tokushima (Japan)","University of Tokushima,  Japan"],"affiliations":[{"raw_affiliation_string":"Univ. of Tokushima (Japan)","institution_ids":["https://openalex.org/I922474255"]},{"raw_affiliation_string":"University of Tokushima,  Japan","institution_ids":["https://openalex.org/I922474255"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113579195","display_name":"Noriyuki Moriyama","orcid":null},"institutions":[{"id":"https://openalex.org/I4210087348","display_name":"National Cancer Centre Japan","ror":"https://ror.org/0025ww868","country_code":"JP","type":"healthcare","lineage":["https://openalex.org/I4210087348"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Noriyuki Moriyama","raw_affiliation_strings":["National Cancer Ctr. (Japan)"],"affiliations":[{"raw_affiliation_string":"National Cancer Ctr. (Japan)","institution_ids":["https://openalex.org/I4210087348"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013815305","display_name":"Toru Utsunomiya","orcid":"https://orcid.org/0000-0002-0023-7812"},"institutions":[{"id":"https://openalex.org/I922474255","display_name":"Tokushima University","ror":"https://ror.org/044vy1d05","country_code":"JP","type":"education","lineage":["https://openalex.org/I922474255"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Toru Utsunomiya","raw_affiliation_strings":["Univ. of Tokushima (Japan)","University of Tokushima,  Japan"],"affiliations":[{"raw_affiliation_string":"Univ. of Tokushima (Japan)","institution_ids":["https://openalex.org/I922474255"]},{"raw_affiliation_string":"University of Tokushima,  Japan","institution_ids":["https://openalex.org/I922474255"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066565101","display_name":"Mitsuo Shimada","orcid":"https://orcid.org/0000-0003-1255-4783"},"institutions":[{"id":"https://openalex.org/I922474255","display_name":"Tokushima University","ror":"https://ror.org/044vy1d05","country_code":"JP","type":"education","lineage":["https://openalex.org/I922474255"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Mitsuo Shimada","raw_affiliation_strings":["Univ. of Tokushima (Japan)","University of Tokushima,  Japan"],"affiliations":[{"raw_affiliation_string":"Univ. of Tokushima (Japan)","institution_ids":["https://openalex.org/I922474255"]},{"raw_affiliation_string":"University of Tokushima,  Japan","institution_ids":["https://openalex.org/I922474255"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5022700854"],"corresponding_institution_ids":["https://openalex.org/I922474255"],"apc_list":null,"apc_paid":null,"fwci":1.3608,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.83368577,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"8670","issue":null,"first_page":"86700X","last_page":"86700X"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9915000200271606,"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":0.9915000200271606,"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":0.9872999787330627,"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"}},{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.984000027179718,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6156679391860962},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5062929391860962},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.49144303798675537},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.3885144889354706},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.387580543756485},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.33344346284866333},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33056193590164185},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2757077217102051}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6156679391860962},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5062929391860962},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.49144303798675537},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.3885144889354706},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.387580543756485},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.33344346284866333},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33056193590164185},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2757077217102051}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2007546","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2007546","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":[{"id":"https://metadata.un.org/sdg/3","score":0.7599999904632568,"display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2107628111","https://openalex.org/W2394004323","https://openalex.org/W2398764543","https://openalex.org/W2027335291","https://openalex.org/W4210328553","https://openalex.org/W1980417906","https://openalex.org/W2171903035","https://openalex.org/W2106598802","https://openalex.org/W2033914206","https://openalex.org/W2042327336"],"abstract_inverted_index":{"Blood":[0],"vessels":[1,32],"are":[2,53,72,83,98],"dispersed":[3],"throughout":[4],"the":[5,36,39,45,80,88,92,106,173,205,224],"human":[6],"body":[7],"organs":[8,110],"and":[9,55,60,70,96,108,132,144,188,193,242,244],"carry":[10],"unique":[11],"information":[12,17],"for":[13,204,234],"each":[14],"person.":[15],"This":[16,94,228],"can":[18],"be":[19],"used":[20,73,84,99],"to":[21,34,74,85,100,111,181],"delineate":[22],"organ":[23],"boundaries.":[24],"The":[25,114,177],"proposed":[26],"method":[27,178,233],"relies":[28],"on":[29,120,156,223],"abdominal":[30],"blood":[31],"(ABV)":[33],"segment":[35,87],"liver":[37,107,237],"considering":[38],"potential":[40],"presence":[41],"of":[42,48,67,79,91,124,141,217,236,239],"tumors":[43,147],"through":[44],"portal":[46],"phase":[47],"a":[49,64,102,168,231],"CT":[50],"dataset.":[51],"ABV":[52],"extracted":[54,121],"classified":[56,118],"into":[57,127],"hepatic":[58,247],"(HBV)":[59],"nonhepatic":[61],"(non-HBV)":[62],"with":[63,200,213],"small":[65],"number":[66],"interactions.":[68],"HBV":[69,82],"non-HBV":[71,97],"guide":[75],"an":[76,214],"automatic":[77],"segmentation":[78],"liver.":[81,93],"individually":[86],"core":[89,115,134,151],"region":[90,95,116,152],"construct":[101],"boundary":[103,175],"surface":[104],"between":[105],"other":[109],"separate":[112],"them.":[113],"is":[117,153,162],"based":[119,155],"posterior":[122,159],"distributions":[123],"its":[125,157],"histogram":[126],"low":[128,245],"intensity":[129,146,171,246],"tumor":[130],"(LIT)":[131],"non-LIT":[133],"regions.":[135],"Non-LIT":[136],"case":[137],"includes":[138],"normal":[139],"part":[140],"liver,":[142],"HBV,":[143],"high":[145],"if":[148],"exist.":[149],"Each":[150],"extended":[154],"corresponding":[158],"distribution.":[160],"Extension":[161],"completed":[163],"when":[164],"it":[165],"reaches":[166],"either":[167],"variation":[169],"in":[170],"or":[172],"constructed":[174],"surface.":[176],"was":[179],"applied":[180],"80":[182],"datasets":[183,199],"(30":[184],"Medical":[185],"Image":[186],"Computing":[187],"Computer":[189],"Assisted":[190],"Intervention":[191],"(MICCAI)":[192],"50":[194],"non-MICCAI":[195],"data)":[196],"including":[197],"60":[198],"tumors.":[201,248],"Our":[202],"results":[203],"MICCAI-test":[206],"data":[207],"were":[208],"evaluated":[209],"by":[210],"sliver07":[211],"[1]":[212],"overall":[215],"score":[216],"79.7,":[218],"which":[219],"ranks":[220],"seventh":[221],"best":[222],"site":[225],"(December":[226],"2013).":[227],"approach":[229],"seems":[230],"promising":[232],"extraction":[235],"volumetry":[238],"various":[240],"shapes":[241],"sizes":[243]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":2},{"year":2015,"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"}
