{"id":"https://openalex.org/W3011388387","doi":"https://doi.org/10.1117/12.2551252","title":"Robust hepatic vessels segmentation model based on noisy dataset","display_name":"Robust hepatic vessels segmentation model based on noisy dataset","publication_year":2020,"publication_date":"2020-03-16","ids":{"openalex":"https://openalex.org/W3011388387","doi":"https://doi.org/10.1117/12.2551252","mag":"3011388387"},"language":"en","primary_location":{"id":"doi:10.1117/12.2551252","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2551252","pdf_url":null,"source":{"id":"https://openalex.org/S4306519512","display_name":"Medical Imaging 2020: Computer-Aided Diagnosis","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2020: Computer-Aided Diagnosis","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/A5100418866","display_name":"Li Liu","orcid":"https://orcid.org/0000-0002-9121-5124"},"institutions":[{"id":"https://openalex.org/I4210156165","display_name":"Lenovo (China)","ror":"https://ror.org/04srd9d93","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210156165"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Li Liu","raw_affiliation_strings":["Lenovo (China)"],"affiliations":[{"raw_affiliation_string":"Lenovo (China)","institution_ids":["https://openalex.org/I4210156165"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101106695","display_name":"Jiang Tian","orcid":null},"institutions":[{"id":"https://openalex.org/I4210156165","display_name":"Lenovo (China)","ror":"https://ror.org/04srd9d93","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210156165"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiang Tian","raw_affiliation_strings":["Lenovo (China)"],"affiliations":[{"raw_affiliation_string":"Lenovo (China)","institution_ids":["https://openalex.org/I4210156165"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101411299","display_name":"Cheng Zhong","orcid":"https://orcid.org/0000-0002-6886-7319"},"institutions":[{"id":"https://openalex.org/I4210156165","display_name":"Lenovo (China)","ror":"https://ror.org/04srd9d93","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210156165"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cheng Zhong","raw_affiliation_strings":["Lenovo (China)"],"affiliations":[{"raw_affiliation_string":"Lenovo (China)","institution_ids":["https://openalex.org/I4210156165"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101873354","display_name":"Zhongchao Shi","orcid":"https://orcid.org/0000-0002-5216-3827"},"institutions":[{"id":"https://openalex.org/I4210156165","display_name":"Lenovo (China)","ror":"https://ror.org/04srd9d93","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210156165"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhongchao Shi","raw_affiliation_strings":["Lenovo (China)"],"affiliations":[{"raw_affiliation_string":"Lenovo (China)","institution_ids":["https://openalex.org/I4210156165"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100947652","display_name":"Feiyu Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210156165","display_name":"Lenovo (China)","ror":"https://ror.org/04srd9d93","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210156165"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feiyu Xu","raw_affiliation_strings":["Lenovo (China)"],"affiliations":[{"raw_affiliation_string":"Lenovo (China)","institution_ids":["https://openalex.org/I4210156165"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100418866"],"corresponding_institution_ids":["https://openalex.org/I4210156165"],"apc_list":null,"apc_paid":null,"fwci":0.3472,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.53897633,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"20","last_page":"20"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14510","display_name":"Medical Imaging and Analysis","score":0.977400004863739,"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/T14510","display_name":"Medical Imaging and Analysis","score":0.977400004863739,"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/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9668999910354614,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9585999846458435,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.8123036623001099},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7081148028373718},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7008056640625},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.563510000705719},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.5260153412818909},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5070278644561768},{"id":"https://openalex.org/keywords/inferior-vena-cava","display_name":"Inferior vena cava","score":0.48278772830963135},{"id":"https://openalex.org/keywords/completeness","display_name":"Completeness (order theory)","score":0.47475841641426086},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4701017737388611},{"id":"https://openalex.org/keywords/hepatic-veins","display_name":"Hepatic veins","score":0.46308714151382446},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4554235339164734},{"id":"https://openalex.org/keywords/portal-vein","display_name":"Portal vein","score":0.4289025366306305},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4117586612701416},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.35807591676712036},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.2762748599052429},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.23040136694908142},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.13433390855789185}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.8123036623001099},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7081148028373718},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7008056640625},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.563510000705719},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.5260153412818909},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5070278644561768},{"id":"https://openalex.org/C2910216633","wikidata":"https://www.wikidata.org/wiki/Q745438","display_name":"Inferior vena cava","level":2,"score":0.48278772830963135},{"id":"https://openalex.org/C17231256","wikidata":"https://www.wikidata.org/wiki/Q5156540","display_name":"Completeness (order theory)","level":2,"score":0.47475841641426086},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4701017737388611},{"id":"https://openalex.org/C2780703679","wikidata":"https://www.wikidata.org/wiki/Q1578686","display_name":"Hepatic veins","level":3,"score":0.46308714151382446},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4554235339164734},{"id":"https://openalex.org/C2779033008","wikidata":"https://www.wikidata.org/wiki/Q464543","display_name":"Portal vein","level":2,"score":0.4289025366306305},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4117586612701416},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.35807591676712036},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.2762748599052429},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.23040136694908142},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.13433390855789185},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"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:10.1117/12.2551252","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2551252","pdf_url":null,"source":{"id":"https://openalex.org/S4306519512","display_name":"Medical Imaging 2020: Computer-Aided Diagnosis","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2020: Computer-Aided Diagnosis","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":0,"referenced_works":[],"related_works":["https://openalex.org/W1490757641","https://openalex.org/W4385379572","https://openalex.org/W2889031134","https://openalex.org/W2068885219","https://openalex.org/W3086531138","https://openalex.org/W2327807171","https://openalex.org/W2356837536","https://openalex.org/W2410637724","https://openalex.org/W2472071236","https://openalex.org/W2352677269"],"abstract_inverted_index":{"Automatic":[0],"hepatic":[1,35,54,68,118,128],"vessel":[2,55,69,119,129,145],"segmentation":[3,70,108],"from":[4],"computed":[5],"tomography":[6],"(CT)":[7],"images":[8],"is":[9,25],"essential":[10],"in":[11,105],"computer-assisted":[12],"liver":[13,102],"surgery.":[14],"However,":[15],"because":[16],"of":[17,34,49,117],"the":[18,29,47,59,74,115,144],"error-prone":[19],"and":[20,38,82,86,103,142],"time-consuming":[21],"manual":[22],"annotation,":[23],"it":[24,88],"impractical":[26],"to":[27,89,101,113],"obtain":[28],"fully":[30],"correct":[31,84],"training":[32],"labels":[33,81],"vein":[36,42],"(HV)":[37],"highly":[39],"branched":[40],"portal":[41],"(PV),":[43],"which":[44,122],"largely":[45],"restricts":[46],"development":[48],"deep":[50,90],"learning":[51],"methods":[52,109],"on":[53,125],"segmentation.":[56],"To":[57],"reduce":[58],"noise":[60,132],"label":[61],"interference,":[62,133],"this":[63],"paper":[64],"builds":[65],"a":[66,126],"robust":[67],"model":[71,137],"via":[72],"analyzing":[73],"probability":[75],"distribution":[76],"relationship":[77],"between":[78],"noisy":[79],"annotation":[80],"unobserved":[83],"ones,":[85],"apply":[87],"neural":[91],"networks":[92],"(DNNs).":[93],"Meanwhile,":[94],"for":[95],"inferior":[96],"vena":[97],"cava":[98],"(IVC)":[99],"close":[100],"PV":[104],"extrahepatic":[106],"area,":[107],"are":[110,123],"also":[111],"represented":[112],"enhance":[114],"completeness":[116],"structure.":[120],"Experiments,":[121],"conducted":[124],"public":[127],"dataset":[130],"with":[131],"indicates":[134],"that":[135],"our":[136],"can":[138],"decrease":[139],"misclassified":[140],"regions":[141],"increase":[143],"recognition":[146],"probability,":[147],"simultaneously.":[148]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3}],"updated_date":"2026-03-23T07:41:27.035349","created_date":"2025-10-10T00:00:00"}