{"id":"https://openalex.org/W4292387426","doi":"https://doi.org/10.1109/tcyb.2022.3194099","title":"Global Transformer and Dual Local Attention Network via Deep-Shallow Hierarchical Feature Fusion for Retinal Vessel Segmentation","display_name":"Global Transformer and Dual Local Attention Network via Deep-Shallow Hierarchical Feature Fusion for Retinal Vessel Segmentation","publication_year":2022,"publication_date":"2022-08-19","ids":{"openalex":"https://openalex.org/W4292387426","doi":"https://doi.org/10.1109/tcyb.2022.3194099","pmid":"https://pubmed.ncbi.nlm.nih.gov/35984806"},"language":"en","primary_location":{"id":"doi:10.1109/tcyb.2022.3194099","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2022.3194099","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"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 Transactions on Cybernetics","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/A5100421442","display_name":"Yang Li","orcid":"https://orcid.org/0000-0002-1751-1742"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Li","raw_affiliation_strings":["School of Automation Sciences and Electrical Engineering, Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-1751-1742","affiliations":[{"raw_affiliation_string":"School of Automation Sciences and Electrical Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100333644","display_name":"Yue Zhang","orcid":"https://orcid.org/0000-0001-6733-5014"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yue Zhang","raw_affiliation_strings":["School of Automation Sciences and Electrical Engineering, Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-6733-5014","affiliations":[{"raw_affiliation_string":"School of Automation Sciences and Electrical Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076174605","display_name":"Jingyu Liu","orcid":"https://orcid.org/0000-0002-1646-637X"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing-Yu Liu","raw_affiliation_strings":["School of Automation Sciences and Electrical Engineering, Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-1646-637X","affiliations":[{"raw_affiliation_string":"School of Automation Sciences and Electrical Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100381671","display_name":"Kang Wang","orcid":"https://orcid.org/0000-0002-9707-9354"},"institutions":[{"id":"https://openalex.org/I4210147433","display_name":"Beijing Friendship Hospital","ror":"https://ror.org/053qy4437","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210147433"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kang Wang","raw_affiliation_strings":["Department of Ophthalmology, Beijing Friendship Hospital, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Ophthalmology, Beijing Friendship Hospital, Beijing, China","institution_ids":["https://openalex.org/I4210147433"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100323912","display_name":"Kai Zhang","orcid":"https://orcid.org/0000-0001-9054-288X"},"institutions":[{"id":"https://openalex.org/I4210158318","display_name":"Second Affiliated Hospital of Zhejiang University","ror":"https://ror.org/059cjpv64","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210158318"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kai Zhang","raw_affiliation_strings":["Second Affiliated Hospital of Medical College, Zhejiang University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Second Affiliated Hospital of Medical College, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I4210158318"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101554244","display_name":"Gensheng Zhang","orcid":"https://orcid.org/0000-0001-9298-3961"},"institutions":[{"id":"https://openalex.org/I4210158318","display_name":"Second Affiliated Hospital of Zhejiang University","ror":"https://ror.org/059cjpv64","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210158318"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gen-Sheng Zhang","raw_affiliation_strings":["Second Affiliated Hospital of Medical College, Zhejiang University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Second Affiliated Hospital of Medical College, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I4210158318"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022342592","display_name":"Xiaofeng Liao","orcid":"https://orcid.org/0000-0002-3566-8161"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao-Feng Liao","raw_affiliation_strings":["College of Computer Science, Chongqing University, Chongqing, China"],"raw_orcid":"https://orcid.org/0000-0002-3566-8161","affiliations":[{"raw_affiliation_string":"College of Computer Science, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100436460","display_name":"Guang Yang","orcid":"https://orcid.org/0000-0001-7344-7733"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Guang Yang","raw_affiliation_strings":["Imperial College London, National Heart and Lung Institute, London, U.K"],"raw_orcid":"https://orcid.org/0000-0001-7344-7733","affiliations":[{"raw_affiliation_string":"Imperial College London, National Heart and Lung Institute, London, U.K","institution_ids":["https://openalex.org/I47508984"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":14.3265,"has_fulltext":false,"cited_by_count":133,"citation_normalized_percentile":{"value":0.99531202,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"53","issue":"9","first_page":"5826","last_page":"5839"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11438","display_name":"Retinal Imaging and Analysis","score":1.0,"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/T11438","display_name":"Retinal Imaging and Analysis","score":1.0,"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/T12599","display_name":"Retinal and Optic Conditions","score":0.9936000108718872,"subfield":{"id":"https://openalex.org/subfields/2731","display_name":"Ophthalmology"},"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/T12874","display_name":"Digital Imaging for Blood Diseases","score":0.9900000095367432,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7473239898681641},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6889605522155762},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6563657522201538},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5557189583778381},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.46766936779022217},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.45848438143730164},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.41382110118865967}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7473239898681641},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6889605522155762},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6563657522201538},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5557189583778381},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.46766936779022217},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.45848438143730164},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.41382110118865967},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","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":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":"D012171","descriptor_name":"Retinal Vessels","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D012171","descriptor_name":"Retinal Vessels","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D012171","descriptor_name":"Retinal Vessels","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D012171","descriptor_name":"Retinal Vessels","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D012660","descriptor_name":"Semantics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012660","descriptor_name":"Semantics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012660","descriptor_name":"Semantics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012660","descriptor_name":"Semantics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":3,"locations":[{"id":"doi:10.1109/tcyb.2022.3194099","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2022.3194099","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"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 Transactions on Cybernetics","raw_type":"journal-article"},{"id":"pmid:35984806","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/35984806","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 transactions on cybernetics","raw_type":null},{"id":"pmh:oai:spiral.imperial.ac.uk:10044/1/98442","is_oa":false,"landing_page_url":"http://hdl.handle.net/10044/1/98442","pdf_url":null,"source":{"id":"https://openalex.org/S4306401396","display_name":"Spiral (Imperial College London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I47508984","host_organization_name":"Imperial College London","host_organization_lineage":["https://openalex.org/I47508984"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"5839","raw_type":"Journal Article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1342822775","display_name":"Rapid analysis of regional myocardial strain from accelerated velocity-encoded MRI data acquisition for early diagnosis of cardiac disease. ,","funder_award_id":"TG/18/5/34111","funder_id":"https://openalex.org/F4320319992","funder_display_name":"British Heart Foundation"},{"id":"https://openalex.org/G2060262717","display_name":"Combined compressed sensing and super-resolution for 3D late enhancement imaging improves scar segmentation and quantification in atrial fibrillation","funder_award_id":"PG/16/78/32402","funder_id":"https://openalex.org/F4320319992","funder_display_name":"British Heart Foundation"},{"id":"https://openalex.org/G207202694","display_name":null,"funder_award_id":"MC_PC_21013","funder_id":"https://openalex.org/F4320334626","funder_display_name":"Medical Research Council"},{"id":"https://openalex.org/G3404568052","display_name":null,"funder_award_id":"4172037","funder_id":"https://openalex.org/F4320322919","funder_display_name":"Natural Science Foundation of Beijing Municipality"},{"id":"https://openalex.org/G345367523","display_name":"Fully Automatic Segmentation and Assessment of Atrial Scars for Atrial Fibrillation Patients\nUsing LGE MRI","funder_award_id":"MC_PC_21013","funder_id":"https://openalex.org/F4320334626","funder_display_name":"Medical Research Council"},{"id":"https://openalex.org/G5019161965","display_name":null,"funder_award_id":"101005122","funder_id":"https://openalex.org/F4320334678","funder_display_name":"European Research Council"},{"id":"https://openalex.org/G5886206401","display_name":null,"funder_award_id":"L182015","funder_id":"https://openalex.org/F4320322919","funder_display_name":"Natural Science Foundation of Beijing Municipality"},{"id":"https://openalex.org/G7188656628","display_name":null,"funder_award_id":"U1809209","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7986630670","display_name":null,"funder_award_id":"952172","funder_id":"https://openalex.org/F4320332999","funder_display_name":"Horizon 2020 Framework Programme"},{"id":"https://openalex.org/G8133980618","display_name":"\u795e\u7ecf\u5143\u950b\u7535\u4f4d\u7684\u591a\u5c0f\u6ce2\u52a8\u6001\u5efa\u6a21\u4e0e\u7a81\u89e6\u53ef\u5851\u6027\u673a\u7406\u7814\u7a76","funder_award_id":"61671042","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8966987018","display_name":null,"funder_award_id":"61403016","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320319992","display_name":"British Heart Foundation","ror":"https://ror.org/02wdwnk04"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322919","display_name":"Natural Science Foundation of Beijing Municipality","ror":null},{"id":"https://openalex.org/F4320332999","display_name":"Horizon 2020 Framework Programme","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320334626","display_name":"Medical Research Council","ror":"https://ror.org/03x94j517"},{"id":"https://openalex.org/F4320334678","display_name":"European Research Council","ror":"https://ror.org/0472cxd90"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":63,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1990750573","https://openalex.org/W2033723371","https://openalex.org/W2039548105","https://openalex.org/W2071356085","https://openalex.org/W2091585872","https://openalex.org/W2100756624","https://openalex.org/W2145305441","https://openalex.org/W2150769593","https://openalex.org/W2166524747","https://openalex.org/W2168932490","https://openalex.org/W2170092083","https://openalex.org/W2792110043","https://openalex.org/W2798122215","https://openalex.org/W2802388893","https://openalex.org/W2804236617","https://openalex.org/W2805735218","https://openalex.org/W2888493720","https://openalex.org/W2898910301","https://openalex.org/W2900790612","https://openalex.org/W2901480059","https://openalex.org/W2921406441","https://openalex.org/W2941942490","https://openalex.org/W2946039882","https://openalex.org/W2955058313","https://openalex.org/W2962850830","https://openalex.org/W2963263347","https://openalex.org/W2971614929","https://openalex.org/W2979605896","https://openalex.org/W2980185997","https://openalex.org/W2980524126","https://openalex.org/W2982364173","https://openalex.org/W2996290406","https://openalex.org/W3001467249","https://openalex.org/W3007878073","https://openalex.org/W3010373058","https://openalex.org/W3013198566","https://openalex.org/W3013766724","https://openalex.org/W3025177399","https://openalex.org/W3036827192","https://openalex.org/W3047385447","https://openalex.org/W3089633940","https://openalex.org/W3089677589","https://openalex.org/W3095462372","https://openalex.org/W3110274389","https://openalex.org/W3148874463","https://openalex.org/W3161200432","https://openalex.org/W3169847394","https://openalex.org/W3174708193","https://openalex.org/W3197787446","https://openalex.org/W3201808689","https://openalex.org/W4205213185","https://openalex.org/W4205868820","https://openalex.org/W4212852978","https://openalex.org/W4220953127","https://openalex.org/W4225361503","https://openalex.org/W4226322639","https://openalex.org/W4226385270","https://openalex.org/W4385245566","https://openalex.org/W6639824700","https://openalex.org/W6726497184","https://openalex.org/W6739901393","https://openalex.org/W6750469568"],"related_works":["https://openalex.org/W4375867731","https://openalex.org/W2611989081","https://openalex.org/W2731899572","https://openalex.org/W4230611425","https://openalex.org/W4294635752","https://openalex.org/W4304166257","https://openalex.org/W4383066092","https://openalex.org/W3215138031","https://openalex.org/W4379231730","https://openalex.org/W2804383999"],"abstract_inverted_index":{"Clinically,":[0],"retinal":[1,89],"vessel":[2,132],"segmentation":[3,46,107,140],"is":[4,80,112,127,151],"a":[5,54,143],"significant":[6],"step":[7],"in":[8,38,43,87,105,138,157,160,174],"the":[9,19,33,44,74,78,84,88,94,100,106,135,139,155,161,169,175,182,200,207,210,220],"diagnosis":[10],"of":[11,21,102,171,177,209,216,222],"fundus":[12,39,187],"diseases.":[13],"However,":[14],"recent":[15],"methods":[16,202],"generally":[17],"neglect":[18],"difference":[20],"semantic":[22],"information":[23,86,173],"between":[24,97],"deep":[25,162],"and":[26,35,58,124,203],"shallow":[27],"features,":[28],"which":[29,91,111,166],"fail":[30],"to":[31,72,82,129,153],"capture":[32],"global":[34,55,85],"local":[36,60,131],"characterizations":[37],"images":[40,218],"simultaneously,":[41],"resulting":[42],"limited":[45],"performance":[47,198],"for":[48],"fine":[49],"vessels.":[50],"In":[51],"this":[52],"article,":[53],"transformer":[56],"(GT)":[57],"dual":[59],"attention":[61],"(DLA)":[62],"network":[63],"via":[64],"deep-shallow":[65,145],"hierarchical":[66,146],"feature":[67,147,178],"fusion":[68,148],"(GT-DLA-dsHFF)":[69],"are":[70],"investigated":[71],"solve":[73],"above":[75],"limitations.":[76],"First,":[77],"GT":[79],"developed":[81],"integrate":[83],"image,":[90],"effectively":[92],"captures":[93],"long-distance":[95],"dependence":[96],"pixels,":[98],"alleviating":[99],"discontinuity":[101],"blood":[103],"vessels":[104],"results.":[108],"Second,":[109],"DLA,":[110],"constructed":[113],"using":[114],"dilated":[115],"convolutions":[116],"with":[117],"varied":[118],"dilation":[119],"rates,":[120],"unsupervised":[121],"edge":[122,136],"detection,":[123],"squeeze-excitation":[125],"block,":[126],"proposed":[128,211,224],"extract":[130],"information,":[133],"consolidating":[134],"details":[137],"result.":[141],"Finally,":[142],"novel":[144],"(dsHFF)":[149],"algorithm":[150],"studied":[152],"fuse":[154],"features":[156],"different":[158],"scales":[159],"learning":[163],"framework,":[164],"respectively,":[165],"can":[167],"mitigate":[168],"attenuation":[170],"valid":[172],"process":[176],"fusion.":[179],"We":[180],"verified":[181],"GT-DLA-dsHFF":[183,195],"on":[184,231],"four":[185],"typical":[186],"image":[188],"datasets.":[189],"The":[190],"experimental":[191],"results":[192,215],"demonstrate":[193],"our":[194,223],"achieves":[196],"superior":[197],"against":[199],"current":[201],"detailed":[204],"discussions":[205],"verify":[206],"efficacy":[208],"three":[212],"modules.":[213],"Segmentation":[214],"diseased":[217],"show":[219],"robustness":[221],"GT-DLA-dsHFF.":[225],"Implementation":[226],"codes":[227],"will":[228],"be":[229],"available":[230],"https://github.com/YangLibuaa/GT-DLA-dsHFF.":[232]},"counts_by_year":[{"year":2026,"cited_by_count":23},{"year":2025,"cited_by_count":49},{"year":2024,"cited_by_count":41},{"year":2023,"cited_by_count":20}],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2025-10-10T00:00:00"}
