{"id":"https://openalex.org/W2891894562","doi":"https://doi.org/10.1109/access.2018.2867859","title":"Pulmonary Vessel Segmentation via Stage-Wise Convolutional Networks With Orientation-Based Region Growing Optimization","display_name":"Pulmonary Vessel Segmentation via Stage-Wise Convolutional Networks With Orientation-Based Region Growing Optimization","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2891894562","doi":"https://doi.org/10.1109/access.2018.2867859","mag":"2891894562"},"language":"en","primary_location":{"id":"doi:10.1109/access.2018.2867859","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2867859","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2018.2867859","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103034363","display_name":"Yajun Xu","orcid":"https://orcid.org/0000-0001-9496-7607"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yajun Xu","raw_affiliation_strings":["National Engineering Laboratory for Information Security Technologies, Institute of Information Engineering, School of Cyber Security, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-9496-7607","affiliations":[{"raw_affiliation_string":"National Engineering Laboratory for Information Security Technologies, Institute of Information Engineering, School of Cyber Security, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210156404","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023341829","display_name":"Zhendong Mao","orcid":"https://orcid.org/0000-0001-5739-8126"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhendong Mao","raw_affiliation_strings":["National Engineering Laboratory for Information Security Technologies, Institute of Information Engineering, School of Cyber Security, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Engineering Laboratory for Information Security Technologies, Institute of Information Engineering, School of Cyber Security, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210156404","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100386379","display_name":"Chunxiao Liu","orcid":"https://orcid.org/0000-0002-6217-4482"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunxiao Liu","raw_affiliation_strings":["National Engineering Laboratory for Information Security Technologies, Institute of Information Engineering, School of Cyber Security, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Engineering Laboratory for Information Security Technologies, Institute of Information Engineering, School of Cyber Security, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210156404","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100372368","display_name":"Bin Wang","orcid":"https://orcid.org/0000-0002-5176-9202"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Wang","raw_affiliation_strings":["National Engineering Laboratory for Information Security Technologies, Institute of Information Engineering, School of Cyber Security, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Engineering Laboratory for Information Security Technologies, Institute of Information Engineering, School of Cyber Security, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210156404","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5103034363"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210156404"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.4675,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.83299625,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"6","issue":null,"first_page":"71296","last_page":"71305"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10202","display_name":"Lung Cancer Diagnosis and Treatment","score":0.9904000163078308,"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"}},"topics":[{"id":"https://openalex.org/T10202","display_name":"Lung Cancer Diagnosis and Treatment","score":0.9904000163078308,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9878000020980835,"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9661999940872192,"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/discriminative-model","display_name":"Discriminative model","score":0.8755751848220825},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.788732647895813},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7108394503593445},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7107475399971008},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7085171937942505},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6254941821098328},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5417256355285645},{"id":"https://openalex.org/keywords/orientation","display_name":"Orientation (vector space)","score":0.510805606842041},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.4475044012069702},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4439700245857239},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07951411604881287}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.8755751848220825},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.788732647895813},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7108394503593445},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7107475399971008},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7085171937942505},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6254941821098328},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5417256355285645},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.510805606842041},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.4475044012069702},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4439700245857239},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07951411604881287},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2018.2867859","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2867859","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:5682059317f147e78acfff07fc404b95","is_oa":true,"landing_page_url":"https://doaj.org/article/5682059317f147e78acfff07fc404b95","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 6, Pp 71296-71305 (2018)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2018.2867859","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2867859","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.75}],"awards":[{"id":"https://openalex.org/G5629344590","display_name":null,"funder_award_id":"61502477","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1536680647","https://openalex.org/W1901129140","https://openalex.org/W2030395830","https://openalex.org/W2048190628","https://openalex.org/W2060762784","https://openalex.org/W2066621060","https://openalex.org/W2070461514","https://openalex.org/W2072058667","https://openalex.org/W2096579040","https://openalex.org/W2126656384","https://openalex.org/W2194775991","https://openalex.org/W2333102131","https://openalex.org/W2395611524","https://openalex.org/W2565639579","https://openalex.org/W2569088469","https://openalex.org/W2963150697","https://openalex.org/W6620707391","https://openalex.org/W6639824700","https://openalex.org/W6678846808","https://openalex.org/W6702435863"],"related_works":["https://openalex.org/W2185902295","https://openalex.org/W2103507220","https://openalex.org/W3144569342","https://openalex.org/W2945274617","https://openalex.org/W4313052709","https://openalex.org/W4205800335","https://openalex.org/W2055202857","https://openalex.org/W2022929107","https://openalex.org/W80586315","https://openalex.org/W2758994127"],"abstract_inverted_index":{"For":[0],"large-scale":[1],"medical":[2],"images,":[3],"automatic":[4],"pulmonary":[5,16,73,105,147,192],"vessel":[6,27,94,133,152,193],"segmentation":[7,86,95,102,134,194],"is":[8,83,91],"a":[9,77,121],"fundamental":[10],"and":[11,88,119],"essential":[12],"research":[13],"for":[14,125,146],"various":[15],"disease":[17],"diagnoses.":[18],"Most":[19],"existing":[20],"approaches":[21],"have":[22],"made":[23],"much":[24],"progress":[25],"in":[26,76,176,191],"segmentation,":[28],"but":[29],"the":[30,37,44,84,92,100,109,131,164,167,172,183,188,197,200],"accuracy":[31],"still":[32],"remains":[33],"unsatisfactory":[34],"due":[35],"to":[36,68,113,141],"absence":[38],"of":[39,72,174,199],"discriminative":[40,70],"features":[41,71],"extracted":[42],"from":[43,166],"images.":[45],"To":[46],"address":[47],"this":[48],"problem,":[49],"we":[50,156],"propose":[51,158],"novel":[52],"stage-wise":[53,64],"convolutional":[54,65,110,139],"networks":[55,66,112,140],"followed":[56],"by":[57],"an":[58,159],"orientation-based":[59],"region":[60],"growing":[61],"method.":[62],"The":[63],"aim":[67],"learn":[69,143],"vessels":[74,175],"automatically":[75],"stage-by-stage":[78],"manner,":[79],"where":[80],"stage":[81,89,98,129],"I":[82],"lung":[85,101],"module":[87,103,135,161,169],"II":[90],"main":[93,132],"module.":[96],"In":[97,128,154],"I,":[99],"extracts":[104],"regions":[106],"based":[107,170],"on":[108,171],"neural":[111],"preprocess":[114],"computed":[115],"tomography":[116],"(CT)":[117],"scans":[118],"provides":[120],"good":[122],"initial":[123],"value":[124],"subsequent":[126],"work.":[127],"II,":[130],"exploits":[136],"refined":[137],"fully":[138],"hierarchically":[142],"rich":[144],"representations":[145],"vessels,":[148],"which":[149],"enables":[150],"accurate":[151],"segmentation.":[153],"addition,":[155],"further":[157],"optimization":[160],"that":[162,182],"refines":[163],"results":[165],"previous":[168],"orientation":[173],"3D":[177],"space.":[178],"Extensive":[179],"experiments":[180],"demonstrate":[181],"proposed":[184],"method":[185],"has":[186],"achieved":[187],"best":[189],"performance":[190],"compared":[195],"with":[196],"state":[198],"arts.":[201]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}
