{"id":"https://openalex.org/W2069125993","doi":"https://doi.org/10.1117/12.2042973","title":"Robust vessel detection and segmentation in ultrasound images by a data-driven approach","display_name":"Robust vessel detection and segmentation in ultrasound images by a data-driven approach","publication_year":2014,"publication_date":"2014-03-21","ids":{"openalex":"https://openalex.org/W2069125993","doi":"https://doi.org/10.1117/12.2042973","mag":"2069125993"},"language":"en","primary_location":{"id":"doi:10.1117/12.2042973","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2042973","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":"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/A5020083340","display_name":"Ping Guo","orcid":"https://orcid.org/0000-0002-7122-1084"},"institutions":[{"id":"https://openalex.org/I4210155230","display_name":"Samsung (China)","ror":"https://ror.org/04yt00889","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250650973","https://openalex.org/I4210155230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ping Guo","raw_affiliation_strings":["Samsung Advanced Institute of Technology (China)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Samsung Advanced Institute of Technology (China)","institution_ids":["https://openalex.org/I4210155230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100709541","display_name":"Qiang Wang","orcid":"https://orcid.org/0000-0001-5632-4408"},"institutions":[{"id":"https://openalex.org/I4210155230","display_name":"Samsung (China)","ror":"https://ror.org/04yt00889","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250650973","https://openalex.org/I4210155230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiang Wang","raw_affiliation_strings":["Samsung Advanced Institute of Technology (China)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Samsung Advanced Institute of Technology (China)","institution_ids":["https://openalex.org/I4210155230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100695218","display_name":"Xiaotao Wang","orcid":"https://orcid.org/0000-0002-0186-3225"},"institutions":[{"id":"https://openalex.org/I4210155230","display_name":"Samsung (China)","ror":"https://ror.org/04yt00889","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250650973","https://openalex.org/I4210155230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaotao Wang","raw_affiliation_strings":["Samsung Advanced Institute of Technology (China)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Samsung Advanced Institute of Technology (China)","institution_ids":["https://openalex.org/I4210155230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101011962","display_name":"Zhihui Hao","orcid":null},"institutions":[{"id":"https://openalex.org/I4210155230","display_name":"Samsung (China)","ror":"https://ror.org/04yt00889","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250650973","https://openalex.org/I4210155230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhihui Hao","raw_affiliation_strings":["Samsung Advanced Institute of Technology (China)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Samsung Advanced Institute of Technology (China)","institution_ids":["https://openalex.org/I4210155230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102964036","display_name":"Kuanhong Xu","orcid":"https://orcid.org/0000-0002-5336-2246"},"institutions":[{"id":"https://openalex.org/I4210155230","display_name":"Samsung (China)","ror":"https://ror.org/04yt00889","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250650973","https://openalex.org/I4210155230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kuanhong Xu","raw_affiliation_strings":["Samsung Advanced Institute of Technology (China)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Samsung Advanced Institute of Technology (China)","institution_ids":["https://openalex.org/I4210155230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100764066","display_name":"Haibing Ren","orcid":"https://orcid.org/0009-0002-5751-7062"},"institutions":[{"id":"https://openalex.org/I4210155230","display_name":"Samsung (China)","ror":"https://ror.org/04yt00889","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250650973","https://openalex.org/I4210155230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haibing Ren","raw_affiliation_strings":["Samsung Advanced Institute of Technology (China)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Samsung Advanced Institute of Technology (China)","institution_ids":["https://openalex.org/I4210155230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016849422","display_name":"Jung Bae Kim","orcid":null},"institutions":[{"id":"https://openalex.org/I2250650973","display_name":"Samsung (South Korea)","ror":"https://ror.org/04w3jy968","country_code":"KR","type":"company","lineage":["https://openalex.org/I2250650973"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jung Bae Kim","raw_affiliation_strings":["Samsung Advanced Institute of Technology (Korea, Republic of)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Samsung Advanced Institute of Technology (Korea, Republic of)","institution_ids":["https://openalex.org/I2250650973"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030680899","display_name":"Youngkyoo Hwang","orcid":null},"institutions":[{"id":"https://openalex.org/I2250650973","display_name":"Samsung (South Korea)","ror":"https://ror.org/04w3jy968","country_code":"KR","type":"company","lineage":["https://openalex.org/I2250650973"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Youngkyoo Hwang","raw_affiliation_strings":["Samsung Advanced Institute of Technology (Korea, Republic of)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Samsung Advanced Institute of Technology (Korea, Republic of)","institution_ids":["https://openalex.org/I2250650973"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11438","display_name":"Retinal Imaging and Analysis","score":0.9983999729156494,"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"}},"topics":[{"id":"https://openalex.org/T11438","display_name":"Retinal Imaging and Analysis","score":0.9983999729156494,"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"}},{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9954000115394592,"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":0.9843999743461609,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/hessian-matrix","display_name":"Hessian matrix","score":0.8159622550010681},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7803936004638672},{"id":"https://openalex.org/keywords/conditional-random-field","display_name":"Conditional random field","score":0.748237133026123},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7263534069061279},{"id":"https://openalex.org/keywords/thresholding","display_name":"Thresholding","score":0.6507508158683777},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6333918571472168},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5664223432540894},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.5496807098388672},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5459200739860535},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.47033342719078064},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4314602017402649},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3634624183177948},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14317914843559265}],"concepts":[{"id":"https://openalex.org/C203616005","wikidata":"https://www.wikidata.org/wiki/Q620495","display_name":"Hessian matrix","level":2,"score":0.8159622550010681},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7803936004638672},{"id":"https://openalex.org/C152565575","wikidata":"https://www.wikidata.org/wiki/Q1124538","display_name":"Conditional random field","level":2,"score":0.748237133026123},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7263534069061279},{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.6507508158683777},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6333918571472168},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5664223432540894},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.5496807098388672},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5459200739860535},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.47033342719078064},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4314602017402649},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3634624183177948},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14317914843559265},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2042973","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2042973","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/14","display_name":"Life below water","score":0.6100000143051147}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W50483400","https://openalex.org/W123327359","https://openalex.org/W273955616","https://openalex.org/W1480380503","https://openalex.org/W1643353583","https://openalex.org/W1800133816","https://openalex.org/W1974954013","https://openalex.org/W2039051707","https://openalex.org/W2073578022","https://openalex.org/W2086106167","https://openalex.org/W2108313375","https://openalex.org/W2116040950","https://openalex.org/W2127707449","https://openalex.org/W2127717018","https://openalex.org/W2129534965","https://openalex.org/W2130250107","https://openalex.org/W2147237076","https://openalex.org/W2148466289","https://openalex.org/W2156098294","https://openalex.org/W2536105417","https://openalex.org/W4231469676","https://openalex.org/W6602152016","https://openalex.org/W6605044142","https://openalex.org/W6637005611","https://openalex.org/W6638545138","https://openalex.org/W6676326974","https://openalex.org/W6678459014","https://openalex.org/W6679175010","https://openalex.org/W6679367408","https://openalex.org/W6681944332","https://openalex.org/W6729309205"],"related_works":["https://openalex.org/W3006655138","https://openalex.org/W1968965685","https://openalex.org/W2012792772","https://openalex.org/W2356573839","https://openalex.org/W2009028679","https://openalex.org/W2357424838","https://openalex.org/W2356903262","https://openalex.org/W2327601824","https://openalex.org/W4237142086","https://openalex.org/W2161102362"],"abstract_inverted_index":{"This":[0,156],"paper":[1,129],"presents":[2],"a":[3,41,56,83,92,133,169],"learning":[4],"based":[5,136,175],"vessel":[6,35,45,84,100,151],"detection":[7,152,179],"and":[8,25,31,53,76,120,138,147,153,184],"segmentation":[9],"method":[10,95,126,161,176],"in":[11,127],"real-patient":[12],"ultrasound":[13],"(US)":[14],"liver":[15,110,122],"images.":[16,123],"We":[17],"aim":[18],"at":[19],"detecting":[20],"multiple":[21],"shaped":[22],"vessels":[23,28,181],"robustly":[24],"automatically,":[26],"including":[27],"with":[29,48,112,132,182],"weak":[30,183],"ambiguous":[32,185],"boundaries.":[33,101,186],"Firstly,":[34],"candidate":[36],"regions":[37],"are":[38,51,64,74],"detected":[39],"by":[40,66,87,144],"data-driven":[42],"approach.":[43],"Multi-channel":[44],"enhancement":[46],"maps":[47],"complement":[49],"performances":[50],"generated":[52],"aggregated":[54],"under":[55],"Conditional":[57],"Random":[58],"Field":[59],"(CRF)":[60],"framework.":[61],"Vessel":[62],"candidates":[63],"obtained":[65],"thresholding":[67],"the":[68,77,139,173,178],"saliency":[69],"map.":[70],"Secondly,":[71],"regional":[72],"features":[73],"extracted":[75],"probability":[78],"of":[79,180],"each":[80],"region":[81],"being":[82],"is":[85,96,130,142,162],"modeled":[86],"random":[88],"forest":[89],"regression.":[90],"Finally,":[91],"fast":[93],"levelset":[94],"developed":[97],"to":[98,165],"refine":[99],"Experiments":[102],"have":[103],"been":[104],"carried":[105],"out":[106],"on":[107],"an":[108],"US":[109],"dataset":[111,116],"98":[113],"patients.":[114],"The":[115,124],"contains":[117],"both":[118],"normal":[119],"abnormal":[121],"proposed":[125],"this":[128],"compared":[131],"traditional":[134],"Hessian":[135,174],"method,":[137],"average":[140],"precision":[141],"promoted":[143],"56":[145],"percents":[146,149],"7.8":[148],"for":[150,177],"classification,":[154],"respectively.":[155],"improvement":[157],"shows":[158],"that":[159],"our":[160],"more":[163],"robust":[164],"noise,":[166],"therefore":[167],"has":[168],"better":[170],"performance":[171],"than":[172]},"counts_by_year":[{"year":2023,"cited_by_count":4},{"year":2020,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}