{"id":"https://openalex.org/W2969570001","doi":"https://doi.org/10.1109/siu.2019.8806559","title":"Extraction of Liver Vascular Tree from Contrast Enhanced Computed Tomography Acquisitions","display_name":"Extraction of Liver Vascular Tree from Contrast Enhanced Computed Tomography Acquisitions","publication_year":2019,"publication_date":"2019-04-01","ids":{"openalex":"https://openalex.org/W2969570001","doi":"https://doi.org/10.1109/siu.2019.8806559","mag":"2969570001"},"language":"en","primary_location":{"id":"doi:10.1109/siu.2019.8806559","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu.2019.8806559","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 27th Signal Processing and Communications Applications Conference (SIU)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5097242805","display_name":"Parv\u0131n Huseynova","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Parv\u0131n Huseynova","raw_affiliation_strings":["Dokuz Eyl&#x00FC;l &#x00DC;niversitesi, &#x0130;zmir, T&#x00DC;RK&#x0130;YE"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dokuz Eyl&#x00FC;l &#x00DC;niversitesi, &#x0130;zmir, T&#x00DC;RK&#x0130;YE","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023527328","display_name":"Naciye Sinem Gezer","orcid":"https://orcid.org/0000-0002-0868-4545"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Naciye Sinem Gezer","raw_affiliation_strings":["Dokuz Eyl&#x00FC;l &#x00DC;niversitesi, &#x0130;zmir, T&#x00DC;RK&#x0130;YE"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dokuz Eyl&#x00FC;l &#x00DC;niversitesi, &#x0130;zmir, T&#x00DC;RK&#x0130;YE","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071792338","display_name":"M. Alper Selver","orcid":"https://orcid.org/0000-0002-8445-0388"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"M. Alper Selver","raw_affiliation_strings":["Dokuz Eyl&#x00FC;l &#x00DC;niversitesi, &#x0130;zmir, T&#x00DC;RK&#x0130;YE"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dokuz Eyl&#x00FC;l &#x00DC;niversitesi, &#x0130;zmir, T&#x00DC;RK&#x0130;YE","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12386","display_name":"Advanced X-ray and CT Imaging","score":0.992900013923645,"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"}},"topics":[{"id":"https://openalex.org/T12386","display_name":"Advanced X-ray and CT Imaging","score":0.992900013923645,"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"}},{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.991599977016449,"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/T12067","display_name":"Renal and Vascular Pathologies","score":0.9860000014305115,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"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/tree","display_name":"Tree (set theory)","score":0.6581302285194397},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5935688018798828},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.554823100566864},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.5543411374092102},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5491086840629578},{"id":"https://openalex.org/keywords/computed-tomography","display_name":"Computed tomography","score":0.4841064214706421},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4663822650909424},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4470484256744385},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.4177047312259674},{"id":"https://openalex.org/keywords/computed-tomography-angiography","display_name":"Computed tomography angiography","score":0.4128059148788452},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3741283714771271},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.35616692900657654},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3302115201950073},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08933800458908081}],"concepts":[{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.6581302285194397},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5935688018798828},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.554823100566864},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.5543411374092102},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5491086840629578},{"id":"https://openalex.org/C544519230","wikidata":"https://www.wikidata.org/wiki/Q32566","display_name":"Computed tomography","level":2,"score":0.4841064214706421},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4663822650909424},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4470484256744385},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.4177047312259674},{"id":"https://openalex.org/C2781347138","wikidata":"https://www.wikidata.org/wiki/Q1024492","display_name":"Computed tomography angiography","level":3,"score":0.4128059148788452},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3741283714771271},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.35616692900657654},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3302115201950073},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08933800458908081},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/siu.2019.8806559","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu.2019.8806559","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 27th Signal Processing and Communications Applications Conference (SIU)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1991857328","https://openalex.org/W2026616100","https://openalex.org/W2084831515","https://openalex.org/W2101891472","https://openalex.org/W2129534965","https://openalex.org/W2133059825","https://openalex.org/W2149161756","https://openalex.org/W2334170987","https://openalex.org/W2345194886"],"related_works":["https://openalex.org/W1991857328","https://openalex.org/W2759354940","https://openalex.org/W2049997835","https://openalex.org/W1995859465","https://openalex.org/W2137325278","https://openalex.org/W2746232387","https://openalex.org/W2752904219","https://openalex.org/W2880967507","https://openalex.org/W3214271465","https://openalex.org/W3000108223","https://openalex.org/W2103480193","https://openalex.org/W2147756293","https://openalex.org/W2789779128","https://openalex.org/W1991521296","https://openalex.org/W2393627830","https://openalex.org/W2011662647","https://openalex.org/W2009963773","https://openalex.org/W2543376834","https://openalex.org/W1992203022","https://openalex.org/W2793846756"],"abstract_inverted_index":{"Extraction":[0],"of":[1,5,44,68,87,101,114],"liver":[2,8,31,45],"vascular":[3,52,90],"tree":[4,53,91],"the":[6,36,66,88],"donor":[7],"from":[9],"abdominal":[10],"computer":[11],"tomography":[12],"angiography":[13],"(CTA)":[14],"images":[15],"is":[16],"an":[17],"important":[18],"step":[19],"that":[20],"needs":[21],"to":[22,35],"be":[23],"performed":[24,110],"before":[25],"surgical":[26],"operation":[27],"for":[28,55,73],"living":[29],"donated":[30],"transplantations.":[32],"However,":[33],"due":[34],"low":[37],"contrast":[38],"between":[39],"vessels":[40],"and":[41,50,77,94,107],"other":[42],"tissues":[43],"caused":[46],"by":[47,111],"various":[48],"reasons,":[49],"varying":[51],"structures":[54],"each":[56],"patient":[57],"makes":[58],"this":[59,64,81],"process":[60,67,82],"highly":[61],"challenging.":[62],"In":[63],"paper,":[65],"creating":[69],"ground":[70],"truth":[71],"data":[72],"20":[74],"CTA":[75],"datasets":[76],"encountered":[78],"challenges":[79],"during":[80],"are":[83,97],"described.":[84],"Moreover":[85],"some":[86],"well-established":[89],"segmentation":[92],"methods":[93],"their":[95],"performances":[96],"analyzed":[98],"in":[99],"terms":[100],"quantitative":[102],"metrics":[103],"such":[104],"as":[105],"Dice":[106],"qualitative":[108],"analysis":[109,113],"3D":[112],"a":[115],"radiologist.":[116]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
