{"id":"https://openalex.org/W3110274389","doi":"https://doi.org/10.1109/jbhi.2020.3042069","title":"Attention-Guided Deep Neural Network With Multi-Scale Feature Fusion for Liver Vessel Segmentation","display_name":"Attention-Guided Deep Neural Network With Multi-Scale Feature Fusion for Liver Vessel Segmentation","publication_year":2020,"publication_date":"2020-12-02","ids":{"openalex":"https://openalex.org/W3110274389","doi":"https://doi.org/10.1109/jbhi.2020.3042069","mag":"3110274389","pmid":"https://pubmed.ncbi.nlm.nih.gov/33264097"},"language":"en","primary_location":{"id":"doi:10.1109/jbhi.2020.3042069","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2020.3042069","pdf_url":null,"source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"is_oa":false,"is_in_doaj":false,"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 Journal of Biomedical and Health Informatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5081607584","display_name":"Qingsen Yan","orcid":"https://orcid.org/0000-0003-1010-3540"},"institutions":[{"id":"https://openalex.org/I5681781","display_name":"The University of Adelaide","ror":"https://ror.org/00892tw58","country_code":"AU","type":"education","lineage":["https://openalex.org/I5681781"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Qingsen Yan","raw_affiliation_strings":["School of Computer Science, The University of Adelaide, Adelaide, SA, Australia"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, The University of Adelaide, Adelaide, SA, Australia","institution_ids":["https://openalex.org/I5681781"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100764698","display_name":"Bo Wang","orcid":"https://orcid.org/0000-0002-5029-4102"},"institutions":[{"id":"https://openalex.org/I4210119028","display_name":"Beijing Anzhen Hospital","ror":"https://ror.org/02h2j1586","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210119028"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Wang","raw_affiliation_strings":["Beijing Jingzhen Medical Technology Ltd, Beijing, China","State Key Laboratory of Precision Measurement Technology, and Instruments, Tsinghua University (THU), Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Jingzhen Medical Technology Ltd, Beijing, China","institution_ids":["https://openalex.org/I4210119028"]},{"raw_affiliation_string":"State Key Laboratory of Precision Measurement Technology, and Instruments, Tsinghua University (THU), Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100695082","display_name":"Wei Zhang","orcid":"https://orcid.org/0000-0002-6682-9335"},"institutions":[{"id":"https://openalex.org/I4210119028","display_name":"Beijing Anzhen Hospital","ror":"https://ror.org/02h2j1586","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210119028"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Zhang","raw_affiliation_strings":["Beijing Jingzhen Medical Technology Ltd, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Jingzhen Medical Technology Ltd, Beijing, China","institution_ids":["https://openalex.org/I4210119028"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006894386","display_name":"Chuan Luo","orcid":"https://orcid.org/0000-0001-5028-1064"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chuan Luo","raw_affiliation_strings":["State Key Laboratory of Precision Measurement Technology, and Instruments, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Precision Measurement Technology, and Instruments, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083556808","display_name":"Wei Xu","orcid":"https://orcid.org/0000-0002-1670-5174"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Xu","raw_affiliation_strings":["Institute for Interdisciplinary Information Sciences, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute for Interdisciplinary Information Sciences, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078096177","display_name":"Zhengqing Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210119028","display_name":"Beijing Anzhen Hospital","ror":"https://ror.org/02h2j1586","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210119028"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhengqing Xu","raw_affiliation_strings":["Beijing Jingzhen Medical Technology Ltd, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Jingzhen Medical Technology Ltd, Beijing, China","institution_ids":["https://openalex.org/I4210119028"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028235866","display_name":"Yanning Zhang","orcid":"https://orcid.org/0000-0002-2977-8057"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanning Zhang","raw_affiliation_strings":["School of Computer Science, Northwestern Polytechnical University, Xi\u2019an, Shaanxi, China","School of Computer Science, Northwestern Polytechnical University, Xi'an, Shaanxi, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Northwestern Polytechnical University, Xi\u2019an, Shaanxi, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"School of Computer Science, Northwestern Polytechnical University, Xi'an, Shaanxi, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033588812","display_name":"Qinfeng Shi","orcid":"https://orcid.org/0000-0002-9126-2107"},"institutions":[{"id":"https://openalex.org/I5681781","display_name":"The University of Adelaide","ror":"https://ror.org/00892tw58","country_code":"AU","type":"education","lineage":["https://openalex.org/I5681781"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Qinfeng Shi","raw_affiliation_strings":["School of Computer Science, The University of Adelaide, Adelaide, SA, Australia"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, The University of Adelaide, Adelaide, SA, Australia","institution_ids":["https://openalex.org/I5681781"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100425294","display_name":"Liang Zhang","orcid":"https://orcid.org/0000-0003-4331-5830"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang Zhang","raw_affiliation_strings":["School of Computer Science, and Technology, Xidian University, Xi\u2019an, China","School of Computer Science, and Technology, Xidian University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, and Technology, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Computer Science, and Technology, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041300353","display_name":"Zheng You","orcid":"https://orcid.org/0000-0002-3941-1371"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zheng You","raw_affiliation_strings":["State Key Laboratory of Precision Measurement Technology, and Instruments, Tsinghua University (THU), Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Precision Measurement Technology, and Instruments, Tsinghua University (THU), Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":10,"corresponding_author_ids":["https://openalex.org/A5081607584"],"corresponding_institution_ids":["https://openalex.org/I5681781"],"apc_list":null,"apc_paid":null,"fwci":6.7724,"has_fulltext":false,"cited_by_count":131,"citation_normalized_percentile":{"value":0.97678708,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"25","issue":"7","first_page":"2629","last_page":"2642"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9969000220298767,"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"}},"topics":[{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9969000220298767,"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/T11438","display_name":"Retinal Imaging and Analysis","score":0.9958999752998352,"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":0.9901999831199646,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7829298973083496},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7456238269805908},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6582462787628174},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5278632044792175},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.48303088545799255},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.47384244203567505},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.47167855501174927},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.46100184321403503},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4377145767211914},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4340672194957733},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4280340075492859}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7829298973083496},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7456238269805908},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6582462787628174},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5278632044792175},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.48303088545799255},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.47384244203567505},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.47167855501174927},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.46100184321403503},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4377145767211914},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4340672194957733},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4280340075492859},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D001288","descriptor_name":"Attention","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001288","descriptor_name":"Attention","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001288","descriptor_name":"Attention","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008099","descriptor_name":"Liver","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D008099","descriptor_name":"Liver","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D008099","descriptor_name":"Liver","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D018450","descriptor_name":"Disease Progression","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D018450","descriptor_name":"Disease Progression","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D018450","descriptor_name":"Disease Progression","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":3,"locations":[{"id":"doi:10.1109/jbhi.2020.3042069","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2020.3042069","pdf_url":null,"source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"is_oa":false,"is_in_doaj":false,"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 Journal of Biomedical and Health Informatics","raw_type":"journal-article"},{"id":"pmid:33264097","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33264097","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE journal of biomedical and health informatics","raw_type":null},{"id":"pmh:oai:digital.library.adelaide.edu.au:2440/131720","is_oa":false,"landing_page_url":"http://hdl.handle.net/2440/131720","pdf_url":null,"source":{"id":"https://openalex.org/S4306401835","display_name":"Adelaide Research & Scholarship (AR&S) (University of Adelaide)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I5681781","host_organization_name":"The University of Adelaide","host_organization_lineage":["https://openalex.org/I5681781"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://dx.doi.org/10.1109/jbhi.2020.3042069","raw_type":"Journal article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4568926294","display_name":null,"funder_award_id":"U19B2037","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"},{"id":"https://openalex.org/F4320322927","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":83,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1526189567","https://openalex.org/W1667869507","https://openalex.org/W1677182931","https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W1967951269","https://openalex.org/W1986211833","https://openalex.org/W1997337116","https://openalex.org/W2001338066","https://openalex.org/W2002088038","https://openalex.org/W2002756732","https://openalex.org/W2005361647","https://openalex.org/W2009501481","https://openalex.org/W2020496139","https://openalex.org/W2020917837","https://openalex.org/W2032377318","https://openalex.org/W2045227075","https://openalex.org/W2069309666","https://openalex.org/W2096301059","https://openalex.org/W2102605133","https://openalex.org/W2113576511","https://openalex.org/W2145105092","https://openalex.org/W2151157785","https://openalex.org/W2156355922","https://openalex.org/W2162140684","https://openalex.org/W2163605009","https://openalex.org/W2327793514","https://openalex.org/W2464708700","https://openalex.org/W2592929672","https://openalex.org/W2596114263","https://openalex.org/W2613718673","https://openalex.org/W2756873427","https://openalex.org/W2763233973","https://openalex.org/W2792124446","https://openalex.org/W2798791651","https://openalex.org/W2884436604","https://openalex.org/W2888011474","https://openalex.org/W2888358068","https://openalex.org/W2891155035","https://openalex.org/W2900872212","https://openalex.org/W2903193781","https://openalex.org/W2922141058","https://openalex.org/W2928165649","https://openalex.org/W2943580940","https://openalex.org/W2947448622","https://openalex.org/W2947686507","https://openalex.org/W2955058313","https://openalex.org/W2962914239","https://openalex.org/W2963351448","https://openalex.org/W2963446712","https://openalex.org/W2963706010","https://openalex.org/W2963727650","https://openalex.org/W2963728414","https://openalex.org/W2963776035","https://openalex.org/W2964098128","https://openalex.org/W2964296630","https://openalex.org/W2970108562","https://openalex.org/W2980059675","https://openalex.org/W2980111715","https://openalex.org/W2980185997","https://openalex.org/W2999009161","https://openalex.org/W3000604436","https://openalex.org/W3004401353","https://openalex.org/W3006487162","https://openalex.org/W3016656576","https://openalex.org/W3017482598","https://openalex.org/W3027877453","https://openalex.org/W3035719652","https://openalex.org/W3080658161","https://openalex.org/W3101333263","https://openalex.org/W3101414204","https://openalex.org/W3102469298","https://openalex.org/W4288278456","https://openalex.org/W6620707391","https://openalex.org/W6639824700","https://openalex.org/W6683214161","https://openalex.org/W6684191040","https://openalex.org/W6734928266","https://openalex.org/W6756556245","https://openalex.org/W6763594197","https://openalex.org/W6766151896","https://openalex.org/W6772354126"],"related_works":["https://openalex.org/W4375867731","https://openalex.org/W4390516098","https://openalex.org/W2181948922","https://openalex.org/W2384362569","https://openalex.org/W2142795561","https://openalex.org/W4205302943","https://openalex.org/W2561132942","https://openalex.org/W2611989081","https://openalex.org/W3155418658","https://openalex.org/W1522196789"],"abstract_inverted_index":{"Liver":[0],"vessel":[1,46,105,187,248],"segmentation":[2,53,86,249],"is":[3,36,177],"fast":[4],"becoming":[5],"a":[6,55,98,193,254],"key":[7],"instrument":[8],"in":[9],"the":[10,50,60,81,115,119,132,184,213,216,240,262,265],"diagnosis":[11],"and":[12,63,87,208,231],"surgical":[13],"planning":[14],"of":[15,32,52,66,80,118,178,205,215,256,264],"liver":[16,21,45,67,104,120,233,247],"diseases.":[17],"In":[18,157],"clinical":[19],"practice,":[20],"vessels":[22],"are":[23,83],"normally":[24],"manual":[25],"annotated":[26,209],"by":[27,140,166],"clinicians":[28],"on":[29,148,246],"each":[30],"slice":[31],"CT":[33,206],"images,":[34],"which":[35,109,176,203],"extremely":[37],"laborious.":[38],"Several":[39],"deep":[40,100],"learning":[41],"methods":[42,70,245],"exist":[43],"for":[44,85,103,181],"segmentation,":[47,106],"however,":[48],"promoting":[49],"performance":[51],"remains":[54],"major":[56,230],"challenge":[57],"due":[58],"to":[59,113,129,153,228],"large":[61],"variations":[62],"complex":[64],"structure":[65,117],"vessels.":[68,210,234],"Previous":[69],"mainly":[71],"using":[72],"existing":[73],"UNet":[74],"architecture,":[75],"but":[76],"not":[77],"all":[78],"features":[79,135,138],"encoder":[82],"useful":[84,133],"some":[88],"even":[89],"cause":[90],"interferences.":[91],"To":[92,211],"overcome":[93],"this":[94],"problem,":[95],"we":[96,123,159,191,221,252],"propose":[97,223],"novel":[99],"neural":[101],"network":[102],"called":[107],"LVSNet,":[108],"employs":[110],"special":[111],"designs":[112],"obtain":[114,154],"accurate":[116],"vessel.":[121],"Specifically,":[122],"design":[124],"Attention-Guided":[125],"Concatenation":[126],"(AGC)":[127],"module":[128,146],"adaptively":[130],"select":[131],"context":[134],"from":[136],"low-level":[137],"guided":[139],"high-level":[141],"features.":[142],"The":[143],"proposed":[144,241],"AGC":[145],"focuses":[147],"capturing":[149],"rich":[150],"complemented":[151],"information":[152],"more":[155],"details.":[156],"addition,":[158],"introduce":[160],"an":[161,224],"innovative":[162],"multi-scale":[163],"fusion":[164],"block":[165],"constructing":[167],"hierarchical":[168],"residual-like":[169],"connections":[170],"within":[171],"one":[172],"single":[173],"residual":[174],"block,":[175],"great":[179],"importance":[180],"effectively":[182],"linking":[183],"local":[185],"blood":[186],"fragments":[188],"together.":[189],"Furthermore,":[190],"construct":[192],"new":[194],"dataset":[195],"containing":[196],"40":[197],"thin":[198],"thickness":[199],"cases":[200],"(0.625":[201],"mm)":[202],"consist":[204],"volumes":[207],"evaluate":[212],"effectiveness":[214],"method":[217,227],"with":[218],"minor":[219,232],"vessels,":[220],"also":[222],"automatic":[225],"stratification":[226],"split":[229],"Extensive":[235],"experimental":[236],"results":[237],"demonstrate":[238],"that":[239,259],"LVSNet":[242],"outperforms":[243],"previous":[244],"datasets.":[250],"Additionally,":[251],"conduct":[253],"series":[255],"ablation":[257],"studies":[258],"comprehensively":[260],"support":[261],"superiority":[263],"underlying":[266],"concepts.":[267]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":32},{"year":2024,"cited_by_count":25},{"year":2023,"cited_by_count":34},{"year":2022,"cited_by_count":24},{"year":2021,"cited_by_count":11}],"updated_date":"2026-03-31T07:56:22.981413","created_date":"2025-10-10T00:00:00"}
