{"id":"https://openalex.org/W2979670618","doi":"https://doi.org/10.1109/embc.2019.8856398","title":"Adrenal Tumor Vessels Segmentation Using Convolutional Neural Network in Computed Tomography Angiography","display_name":"Adrenal Tumor Vessels Segmentation Using Convolutional Neural Network in Computed Tomography Angiography","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2979670618","doi":"https://doi.org/10.1109/embc.2019.8856398","mag":"2979670618","pmid":"https://pubmed.ncbi.nlm.nih.gov/31946063"},"language":"en","primary_location":{"id":"doi:10.1109/embc.2019.8856398","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc.2019.8856398","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)","raw_type":"proceedings-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/A5017699605","display_name":"Wangyuan Zhao","orcid":"https://orcid.org/0000-0002-6610-4828"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wangyuan Zhao","raw_affiliation_strings":["School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084444490","display_name":"Hongchao He","orcid":"https://orcid.org/0000-0003-4225-1142"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]},{"id":"https://openalex.org/I2801556517","display_name":"Ruijin Hospital","ror":"https://ror.org/01hv94n30","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I2801556517"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongchao He","raw_affiliation_strings":["Ruijin Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ruijin Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I2801556517","https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058685565","display_name":"Jun Zhao","orcid":"https://orcid.org/0000-0002-3539-2249"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Zhao","raw_affiliation_strings":["School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100671671","display_name":"Jianqi Sun","orcid":"https://orcid.org/0000-0001-6444-6894"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianqi Sun","raw_affiliation_strings":["School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5272,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.6994493,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":"148","issue":null,"first_page":"1006","last_page":"1009"},"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":0.9977999925613403,"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":0.9977999925613403,"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/T14510","display_name":"Medical Imaging and Analysis","score":0.9954000115394592,"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/T10862","display_name":"AI in cancer detection","score":0.9886000156402588,"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/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6947870254516602},{"id":"https://openalex.org/keywords/digital-subtraction-angiography","display_name":"Digital subtraction angiography","score":0.6597002148628235},{"id":"https://openalex.org/keywords/intersection","display_name":"Intersection (aeronautics)","score":0.5192711353302002},{"id":"https://openalex.org/keywords/angiography","display_name":"Angiography","score":0.5033687949180603},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.4999520778656006},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49143922328948975},{"id":"https://openalex.org/keywords/dissection","display_name":"Dissection (medical)","score":0.4859870374202728},{"id":"https://openalex.org/keywords/computed-tomography","display_name":"Computed tomography","score":0.4619714319705963},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.45750877261161804},{"id":"https://openalex.org/keywords/subtraction","display_name":"Subtraction","score":0.45034027099609375},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4498155415058136},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4364812970161438},{"id":"https://openalex.org/keywords/computed-tomography-angiography","display_name":"Computed tomography angiography","score":0.43238240480422974},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4317231774330139},{"id":"https://openalex.org/keywords/s\u00f8rensen\u2013dice-coefficient","display_name":"S\u00f8rensen\u2013Dice coefficient","score":0.41386184096336365},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.4036327600479126},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.31124937534332275},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.09600642323493958},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08747655153274536},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.07951322197914124}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6947870254516602},{"id":"https://openalex.org/C2778286760","wikidata":"https://www.wikidata.org/wiki/Q1224954","display_name":"Digital subtraction angiography","level":3,"score":0.6597002148628235},{"id":"https://openalex.org/C64543145","wikidata":"https://www.wikidata.org/wiki/Q162942","display_name":"Intersection (aeronautics)","level":2,"score":0.5192711353302002},{"id":"https://openalex.org/C2780643987","wikidata":"https://www.wikidata.org/wiki/Q468414","display_name":"Angiography","level":2,"score":0.5033687949180603},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.4999520778656006},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49143922328948975},{"id":"https://openalex.org/C2775862295","wikidata":"https://www.wikidata.org/wiki/Q2660911","display_name":"Dissection (medical)","level":2,"score":0.4859870374202728},{"id":"https://openalex.org/C544519230","wikidata":"https://www.wikidata.org/wiki/Q32566","display_name":"Computed tomography","level":2,"score":0.4619714319705963},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.45750877261161804},{"id":"https://openalex.org/C68060419","wikidata":"https://www.wikidata.org/wiki/Q40754","display_name":"Subtraction","level":2,"score":0.45034027099609375},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4498155415058136},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4364812970161438},{"id":"https://openalex.org/C2781347138","wikidata":"https://www.wikidata.org/wiki/Q1024492","display_name":"Computed tomography angiography","level":3,"score":0.43238240480422974},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4317231774330139},{"id":"https://openalex.org/C163892561","wikidata":"https://www.wikidata.org/wiki/Q2613728","display_name":"S\u00f8rensen\u2013Dice coefficient","level":4,"score":0.41386184096336365},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.4036327600479126},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.31124937534332275},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.09600642323493958},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08747655153274536},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.07951322197914124},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D000072226","descriptor_name":"Computed Tomography Angiography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000072226","descriptor_name":"Computed Tomography Angiography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000072226","descriptor_name":"Computed Tomography Angiography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000310","descriptor_name":"Adrenal Gland Neoplasms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000310","descriptor_name":"Adrenal Gland Neoplasms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000310","descriptor_name":"Adrenal Gland Neoplasms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"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":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","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":false},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/embc.2019.8856398","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc.2019.8856398","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)","raw_type":"proceedings-article"},{"id":"pmid:31946063","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/31946063","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":"Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.7200000286102295,"display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1578555538","https://openalex.org/W1713031663","https://openalex.org/W1901129140","https://openalex.org/W1970864306","https://openalex.org/W1975118837","https://openalex.org/W1975427627","https://openalex.org/W1999261144","https://openalex.org/W2000883062","https://openalex.org/W2024935037","https://openalex.org/W2061912104","https://openalex.org/W2074080630","https://openalex.org/W2127890285","https://openalex.org/W2138713254","https://openalex.org/W2163822168","https://openalex.org/W2415045691","https://openalex.org/W2464708700","https://openalex.org/W2898952695","https://openalex.org/W2899350386","https://openalex.org/W2899384475","https://openalex.org/W2962914239","https://openalex.org/W6639824700","https://openalex.org/W6716112521"],"related_works":["https://openalex.org/W1992278035","https://openalex.org/W4200510783","https://openalex.org/W4391250048","https://openalex.org/W4313044406","https://openalex.org/W4399099642","https://openalex.org/W4206010360","https://openalex.org/W2562145731","https://openalex.org/W3110400269","https://openalex.org/W1998329224","https://openalex.org/W2392504898"],"abstract_inverted_index":{"The":[0,70,91],"adrenal":[1,61],"glands":[2,6],"are":[3,10,33,43],"important":[4],"endocrine":[5],"in":[7,11,31,64,93],"humans.":[8],"They":[9],"complex":[12],"environments":[13],"with":[14,39,85],"thin":[15],"vessels":[16,63],"around":[17],"them.":[18],"It's":[19],"meaningful":[20],"to":[21,36,58],"get":[22],"the":[23,60,86,99],"accurate":[24],"dissection":[25],"before":[26],"surgery.":[27],"However,":[28],"images":[29],"used":[30,53],"hospitals":[32],"now":[34],"unable":[35],"help":[37],"doctors":[38],"many":[40],"surgeries,":[41],"which":[42],"produced":[44],"by":[45,74],"digital":[46],"subtraction":[47],"angiography.":[48],"In":[49],"this":[50,94],"study,":[51],"we":[52],"a":[54],"3D":[55,65],"U-Net":[56],"model":[57,71,95],"segment":[59],"tumor":[62],"computed":[66],"tomography":[67],"angiography":[68],"slices.":[69],"was":[72],"evaluated":[73],"dice":[75],"similarity":[76],"coefficient":[77],"(DSC)":[78],"and":[79,98],"mean":[80],"intersection":[81],"over":[82],"union":[83],"(MIoU)":[84],"manually":[87],"labeled":[88],"ground":[89],"truth.":[90],"DSC":[92],"is":[96,101],"94.69%":[97],"MIoU":[100],"90.22%.":[102]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
