{"id":"https://openalex.org/W4362663465","doi":"https://doi.org/10.1117/12.2653850","title":"Towards a relation extractor U-shaped network for accurate pulmonary vessel segmentation in CT images","display_name":"Towards a relation extractor U-shaped network for accurate pulmonary vessel segmentation in CT images","publication_year":2023,"publication_date":"2023-04-06","ids":{"openalex":"https://openalex.org/W4362663465","doi":"https://doi.org/10.1117/12.2653850"},"language":"en","primary_location":{"id":"doi:10.1117/12.2653850","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1117/12.2653850","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2023: 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/A5011093746","display_name":"Jiabao Jin","orcid":null},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jiabao Jin","raw_affiliation_strings":["Xiamen Univ. (China)"],"affiliations":[{"raw_affiliation_string":"Xiamen Univ. (China)","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100324098","display_name":"Yu Wu","orcid":"https://orcid.org/0000-0002-1680-8253"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Wu","raw_affiliation_strings":["Xiamen Univ. (China)"],"affiliations":[{"raw_affiliation_string":"Xiamen Univ. (China)","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012506390","display_name":"Gang Ding","orcid":null},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gang Ding","raw_affiliation_strings":["Xiamen Univ. (China)"],"affiliations":[{"raw_affiliation_string":"Xiamen Univ. (China)","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012233067","display_name":"Ying Ma","orcid":"https://orcid.org/0000-0001-7090-322X"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ying Ma","raw_affiliation_strings":["Xiamen Univ. (China)"],"affiliations":[{"raw_affiliation_string":"Xiamen Univ. (China)","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102426266","display_name":"Huiqing Zeng","orcid":null},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui-Qing Zeng","raw_affiliation_strings":["Xiamen Univ. (China)"],"affiliations":[{"raw_affiliation_string":"Xiamen Univ. (China)","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049162666","display_name":"Sunkui Ke","orcid":null},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sunkui Ke","raw_affiliation_strings":["Xiamen Univ. (China)"],"affiliations":[{"raw_affiliation_string":"Xiamen Univ. (China)","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101647995","display_name":"Xiangxing Chen","orcid":"https://orcid.org/0000-0002-5448-0850"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangxing Chen","raw_affiliation_strings":["Xiamen Univ. (China)"],"affiliations":[{"raw_affiliation_string":"Xiamen Univ. (China)","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100609813","display_name":"Miao Wang","orcid":"https://orcid.org/0000-0002-6354-7324"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Miao Wang","raw_affiliation_strings":["Xiamen Univ. (China)"],"affiliations":[{"raw_affiliation_string":"Xiamen Univ. (China)","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082244615","display_name":"Yinran Chen","orcid":"https://orcid.org/0000-0001-8062-1859"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yinran Chen","raw_affiliation_strings":["Xiamen Univ. (China)"],"affiliations":[{"raw_affiliation_string":"Xiamen Univ. (China)","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100426934","display_name":"Xi\u00f3ngbi\u0101o Lu\u00f3","orcid":"https://orcid.org/0000-0002-5238-489X"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiongbiao Luo","raw_affiliation_strings":["Xiamen Univ. (China)"],"affiliations":[{"raw_affiliation_string":"Xiamen Univ. (China)","institution_ids":["https://openalex.org/I191208505"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":10,"corresponding_author_ids":["https://openalex.org/A5011093746"],"corresponding_institution_ids":["https://openalex.org/I191208505"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.14055056,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"75","last_page":"75"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9954000115394592,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9954000115394592,"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/T10202","display_name":"Lung Cancer Diagnosis and Treatment","score":0.9848999977111816,"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"}},{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9179999828338623,"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":0.6749522686004639},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.605539858341217},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6016132235527039},{"id":"https://openalex.org/keywords/s\u00f8rensen\u2013dice-coefficient","display_name":"S\u00f8rensen\u2013Dice coefficient","score":0.5956730842590332},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5305008888244629},{"id":"https://openalex.org/keywords/dice","display_name":"Dice","score":0.47686561942100525},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.46697139739990234},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.4624837040901184},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41127297282218933},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.38108372688293457},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.3245570659637451},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15813928842544556},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.1407650113105774},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11308449506759644},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10743346810340881}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6749522686004639},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.605539858341217},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6016132235527039},{"id":"https://openalex.org/C163892561","wikidata":"https://www.wikidata.org/wiki/Q2613728","display_name":"S\u00f8rensen\u2013Dice coefficient","level":4,"score":0.5956730842590332},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5305008888244629},{"id":"https://openalex.org/C22029948","wikidata":"https://www.wikidata.org/wiki/Q45089","display_name":"Dice","level":2,"score":0.47686561942100525},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.46697139739990234},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.4624837040901184},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41127297282218933},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.38108372688293457},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.3245570659637451},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15813928842544556},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.1407650113105774},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11308449506759644},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10743346810340881},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2653850","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1117/12.2653850","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2023: Computer-Aided Diagnosis","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.6700000166893005}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4389060404","https://openalex.org/W2973136608","https://openalex.org/W3012828488","https://openalex.org/W4286233748","https://openalex.org/W2890372105","https://openalex.org/W4254054209","https://openalex.org/W4385633891","https://openalex.org/W3197954266","https://openalex.org/W2036390026","https://openalex.org/W4389009345"],"abstract_inverted_index":{"Pulmonary":[0],"vessel":[1,28],"segmentation":[2,29],"from":[3],"CT":[4],"images":[5],"is":[6,30],"essential":[7],"to":[8,78,95,134],"diagnosis":[9],"and":[10,19,37,49,63,88,102,132,136],"treatment":[11,17],"of":[12,33,82,104],"lung":[13,50],"diseases,":[14],"particularly":[15],"in":[16,66,74,84,91],"planning":[18],"clinical":[20],"outcome":[21],"evaluation.":[22],"The":[23],"main":[24],"challenge":[25],"for":[26],"pulmonary":[27],"complicated":[31],"structures":[32],"the":[34,46,75,92,105,119,128],"vascular":[35,106],"trees":[36],"their":[38],"similar":[39],"intensity":[40],"values":[41],"with":[42,118],"other":[43],"tissues":[44],"like":[45],"tracheal":[47],"wall":[48],"nodules.":[51],"This":[52],"paper":[53],"presents":[54],"a":[55,85],"novel":[56],"relation":[57],"extractor":[58],"U-shaped":[59],"network":[60],"combining":[61],"convolution":[62,73],"self-attention":[64,90],"mechanism":[65],"an":[67],"encoder-decoder":[68],"mode.":[69],"Particularly,":[70],"we":[71],"employ":[72],"shallow":[76],"layers":[77,94],"extract":[79],"local":[80],"information":[81],"vessels":[83],"short":[86],"range":[87],"apply":[89],"deep":[93],"capture":[96],"long-range":[97],"contextual":[98],"relationship":[99],"between":[100],"ancestors":[101],"descendants":[103],"tree.":[107],"We":[108],"evaluate":[109],"our":[110,124],"proposed":[111],"method":[112,125],"on":[113],"50":[114],"computer":[115],"tomography":[116],"volumes,":[117],"experimental":[120],"results":[121],"showing":[122],"that":[123],"can":[126],"improve":[127],"average":[129],"coefficient":[130],"dice":[131],"recall":[133],"85.60":[135],"86.04":[137],"respectively.":[138]},"counts_by_year":[],"updated_date":"2025-12-21T23:12:01.093139","created_date":"2025-10-10T00:00:00"}