{"id":"https://openalex.org/W4395667220","doi":"https://doi.org/10.1186/s40537-024-00904-x","title":"DFA-Net: Dual multi-scale feature aggregation network for vessel segmentation in X-ray digital subtraction angiography","display_name":"DFA-Net: Dual multi-scale feature aggregation network for vessel segmentation in X-ray digital subtraction angiography","publication_year":2024,"publication_date":"2024-04-26","ids":{"openalex":"https://openalex.org/W4395667220","doi":"https://doi.org/10.1186/s40537-024-00904-x"},"language":"en","primary_location":{"id":"doi:10.1186/s40537-024-00904-x","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-024-00904-x","pdf_url":"https://journalofbigdata.springeropen.com/counter/pdf/10.1186/s40537-024-00904-x","source":{"id":"https://openalex.org/S2737955091","display_name":"Journal Of Big Data","issn_l":"2196-1115","issn":["2196-1115"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Big Data","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://journalofbigdata.springeropen.com/counter/pdf/10.1186/s40537-024-00904-x","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5014472255","display_name":"He Deng","orcid":"https://orcid.org/0000-0002-4402-4923"},"institutions":[{"id":"https://openalex.org/I43922553","display_name":"Wuhan University of Science and Technology","ror":"https://ror.org/00e4hrk88","country_code":"CN","type":"education","lineage":["https://openalex.org/I43922553"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"He Deng","raw_affiliation_strings":["School of Computer Science and Technology, Hubei Province Key Laboratory of Systems Science in Metallurgical Process, Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System, Wuhan University of Science and Technology, Wuhan, 430081, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Hubei Province Key Laboratory of Systems Science in Metallurgical Process, Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System, Wuhan University of Science and Technology, Wuhan, 430081, China","institution_ids":["https://openalex.org/I43922553"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100847948","display_name":"Xu Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I43922553","display_name":"Wuhan University of Science and Technology","ror":"https://ror.org/00e4hrk88","country_code":"CN","type":"education","lineage":["https://openalex.org/I43922553"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xu Liu","raw_affiliation_strings":["School of Computer Science and Technology, Hubei Province Key Laboratory of Systems Science in Metallurgical Process, Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System, Wuhan University of Science and Technology, Wuhan, 430081, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Hubei Province Key Laboratory of Systems Science in Metallurgical Process, Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System, Wuhan University of Science and Technology, Wuhan, 430081, China","institution_ids":["https://openalex.org/I43922553"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111520035","display_name":"Tong Fang","orcid":null},"institutions":[{"id":"https://openalex.org/I43922553","display_name":"Wuhan University of Science and Technology","ror":"https://ror.org/00e4hrk88","country_code":"CN","type":"education","lineage":["https://openalex.org/I43922553"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tong Fang","raw_affiliation_strings":["School of Computer Science and Technology, Hubei Province Key Laboratory of Systems Science in Metallurgical Process, Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System, Wuhan University of Science and Technology, Wuhan, 430081, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Hubei Province Key Laboratory of Systems Science in Metallurgical Process, Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System, Wuhan University of Science and Technology, Wuhan, 430081, China","institution_ids":["https://openalex.org/I43922553"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109586744","display_name":"Yuqing Li","orcid":"https://orcid.org/0009-0006-9684-8867"},"institutions":[{"id":"https://openalex.org/I43922553","display_name":"Wuhan University of Science and Technology","ror":"https://ror.org/00e4hrk88","country_code":"CN","type":"education","lineage":["https://openalex.org/I43922553"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuqing Li","raw_affiliation_strings":["School of Computer Science and Technology, Hubei Province Key Laboratory of Systems Science in Metallurgical Process, Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System, Wuhan University of Science and Technology, Wuhan, 430081, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Hubei Province Key Laboratory of Systems Science in Metallurgical Process, Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System, Wuhan University of Science and Technology, Wuhan, 430081, China","institution_ids":["https://openalex.org/I43922553"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035036466","display_name":"Xiangde Min","orcid":"https://orcid.org/0000-0002-1589-6861"},"institutions":[{"id":"https://openalex.org/I4210160344","display_name":"Tongji Hospital","ror":"https://ror.org/04xy45965","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210160344"]},{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiangde Min","raw_affiliation_strings":["Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China","institution_ids":["https://openalex.org/I47720641","https://openalex.org/I4210160344"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5035036466"],"corresponding_institution_ids":["https://openalex.org/I4210160344","https://openalex.org/I47720641"],"apc_list":{"value":1060,"currency":"GBP","value_usd":1300},"apc_paid":{"value":1060,"currency":"GBP","value_usd":1300},"fwci":1.008,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.72297096,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"11","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":0.9980000257492065,"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/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":0.9980000257492065,"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/T11438","display_name":"Retinal Imaging and Analysis","score":0.9975000023841858,"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":0.9948999881744385,"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":0.8132259249687195},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.768883228302002},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6643502116203308},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5243628025054932},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4967096447944641},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.4510967433452606},{"id":"https://openalex.org/keywords/subtraction","display_name":"Subtraction","score":0.4490063786506653},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3464324474334717},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08918461203575134}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8132259249687195},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.768883228302002},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6643502116203308},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5243628025054932},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4967096447944641},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.4510967433452606},{"id":"https://openalex.org/C68060419","wikidata":"https://www.wikidata.org/wiki/Q40754","display_name":"Subtraction","level":2,"score":0.4490063786506653},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3464324474334717},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08918461203575134},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1186/s40537-024-00904-x","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-024-00904-x","pdf_url":"https://journalofbigdata.springeropen.com/counter/pdf/10.1186/s40537-024-00904-x","source":{"id":"https://openalex.org/S2737955091","display_name":"Journal Of Big Data","issn_l":"2196-1115","issn":["2196-1115"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Big Data","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:99c8da19743b4c7da9f7f8ddbf487bf8","is_oa":true,"landing_page_url":"https://doaj.org/article/99c8da19743b4c7da9f7f8ddbf487bf8","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":"Journal of Big Data, Vol 11, Iss 1, Pp 1-16 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s40537-024-00904-x","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-024-00904-x","pdf_url":"https://journalofbigdata.springeropen.com/counter/pdf/10.1186/s40537-024-00904-x","source":{"id":"https://openalex.org/S2737955091","display_name":"Journal Of Big Data","issn_l":"2196-1115","issn":["2196-1115"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Big Data","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.5699999928474426}],"awards":[{"id":"https://openalex.org/G2774053552","display_name":null,"funder_award_id":"82102028","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6108621456","display_name":null,"funder_award_id":"62071456","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6529104517","display_name":null,"funder_award_id":"2023D0502","funder_id":"https://openalex.org/F4320325431","funder_display_name":"Wuhan University of Science and Technology"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320324116","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17"},{"id":"https://openalex.org/F4320325431","display_name":"Wuhan University of Science and Technology","ror":"https://ror.org/00e4hrk88"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4395667220.pdf"},"referenced_works_count":25,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2138776277","https://openalex.org/W2143923202","https://openalex.org/W2150721269","https://openalex.org/W2194775991","https://openalex.org/W2884436604","https://openalex.org/W2897755679","https://openalex.org/W2964309882","https://openalex.org/W3015788359","https://openalex.org/W3159747129","https://openalex.org/W3161081823","https://openalex.org/W4206102576","https://openalex.org/W4207052568","https://openalex.org/W4224998640","https://openalex.org/W4281485926","https://openalex.org/W4284897204","https://openalex.org/W4308057898","https://openalex.org/W4311778824","https://openalex.org/W4313372020","https://openalex.org/W4313830518","https://openalex.org/W4372337084","https://openalex.org/W4376133102","https://openalex.org/W4386350424","https://openalex.org/W4386453722","https://openalex.org/W4387639274"],"related_works":["https://openalex.org/W2090049157","https://openalex.org/W1976835164","https://openalex.org/W2134771946","https://openalex.org/W2006407424","https://openalex.org/W189153436","https://openalex.org/W52818356","https://openalex.org/W4206782091","https://openalex.org/W2952669920","https://openalex.org/W2069592018","https://openalex.org/W2075740387"],"abstract_inverted_index":{"Abstract":[0],"Even":[1],"though":[2],"deep":[3],"learning":[4],"is":[5,47,77,106,167,178],"fascinated":[6],"in":[7,13,112,216],"fields":[8],"of":[9,21,92,154,186,238],"coronary":[10,36,109],"vessel":[11,110],"segmentation":[12,75,111,128],"X-ray":[14],"angiography":[15,115],"and":[16,28,38,63,71,95,134,156,203,226],"achieves":[17,158],"prominent":[18],"progresses,":[19],"most":[20],"those":[22,80],"models":[23],"probably":[24],"bring":[25],"high":[26,224],"false":[27,175],"missed":[29],"detections":[30],"due":[31],"to":[32,49,229],"indistinct":[33],"contrast":[34,93,120],"between":[35],"vessels":[37],"background,":[39],"especially":[40],"for":[41,108,172,183,205,235],"tiny":[42],"sub-branches.":[43],"Image":[44],"improvement":[45,94,121],"technique":[46],"able":[48],"better":[50,214],"such":[51],"contrast,":[52],"while":[53],"boosting":[54],"extraneous":[55],"information,":[56],"e.g.,":[57],"other":[58],"tissues":[59],"with":[60,180,218],"similar":[61],"intensities":[62],"noise.":[64],"If":[65],"incorporating":[66],"features":[67,144],"derived":[68],"from":[69,85,90,147],"original":[70,133],"enhanced":[72,135],"images,":[73],"the":[74,119,170,187,230],"performance":[76],"improved":[78],"because":[79],"images":[81,136,207],"comprise":[82],"complementary":[83,143],"information":[84],"different":[86,148],"contrasts.":[87],"Accordingly,":[88],"inspired":[89],"advantages":[91],"encoding-decoding":[96],"architecture,":[97],"a":[98,126,163,233],"dual":[99],"multi-scale":[100,142],"feature":[101],"aggregation":[102],"network":[103,129],"(named":[104],"DFA-Net)":[105],"introduced":[107],"digital":[113],"subtraction":[114],"(DSA).":[116],"DFA-Net":[117,196,222],"integrates":[118],"using":[122],"exponent":[123],"transformation":[124],"into":[125],"semantic":[127],"that":[130,195],"individually":[131],"accepts":[132],"as":[137],"inputs.":[138],"Through":[139],"parameter":[140],"sharing,":[141],"are":[145],"aggregated":[146],"contrasts,":[149],"which":[150,177],"strengthens":[151],"leaning":[152],"capabilities":[153],"networks,":[155],"thus":[157],"an":[159],"efficient":[160],"segmentation.":[161],"Meanwhile,":[162],"risk":[164],"cross-entropy":[165],"loss":[166,182],"enforced":[168],"on":[169],"segmentation,":[171],"availably":[173],"decreasing":[174],"negatives,":[176],"incorporated":[179],"Dice":[181],"joint":[184],"optimization":[185],"proposed":[188],"strategy":[189],"during":[190],"training.":[191],"Experimental":[192],"results":[193],"demonstrate":[194],"can":[197],"not":[198],"only":[199],"work":[200],"more":[201],"robustly":[202],"effectively":[204],"DSA":[206],"under":[208],"diverse":[209],"conditions,":[210],"but":[211],"also":[212],"achieve":[213],"performance,":[215],"comparison":[217],"state-of-the-art":[219],"methods.":[220],"Consequently,":[221],"has":[223],"fidelity":[225],"structure":[227],"similarity":[228],"reference,":[231],"providing":[232],"way":[234],"early":[236],"diagnosis":[237],"cardiovascular":[239],"diseases.":[240]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}