{"id":"https://openalex.org/W4410639023","doi":"https://doi.org/10.1109/tnnls.2025.3560082","title":"RSF-Conv: Rotation-and-Scale Equivariant Fourier Parameterized Convolution for Retinal Vessel Segmentation","display_name":"RSF-Conv: Rotation-and-Scale Equivariant Fourier Parameterized Convolution for Retinal Vessel Segmentation","publication_year":2025,"publication_date":"2025-05-23","ids":{"openalex":"https://openalex.org/W4410639023","doi":"https://doi.org/10.1109/tnnls.2025.3560082","pmid":"https://pubmed.ncbi.nlm.nih.gov/40408203"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2025.3560082","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2025.3560082","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","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/A5087978322","display_name":"Zihong Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zihong Sun","raw_affiliation_strings":["School of Mathematics and Statistics and the Ministry of Education Key Laboratory of Intelligent Networks and Network Security, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, Shaanxi, China"],"raw_orcid":"https://orcid.org/0009-0008-0554-2761","affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics and the Ministry of Education Key Laboratory of Intelligent Networks and Network Security, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, Shaanxi, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100370943","display_name":"Hong Wang","orcid":"https://orcid.org/0000-0002-6520-7681"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hong Wang","raw_affiliation_strings":["School of Life Science and Technology, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0000-0002-6520-7681","affiliations":[{"raw_affiliation_string":"School of Life Science and Technology, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101698775","display_name":"Qi Xie","orcid":"https://orcid.org/0000-0003-0864-5623"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qi Xie","raw_affiliation_strings":["School of Mathematics and Statistics and the Ministry of Education Key Laboratory of Intelligent Networks and Network Security, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, Shaanxi, China"],"raw_orcid":"https://orcid.org/0000-0003-0864-5623","affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics and the Ministry of Education Key Laboratory of Intelligent Networks and Network Security, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, Shaanxi, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051649145","display_name":"Yefeng Zheng","orcid":"https://orcid.org/0000-0003-2195-2847"},"institutions":[{"id":"https://openalex.org/I3133055985","display_name":"Westlake University","ror":"https://ror.org/05hfa4n20","country_code":"CN","type":"education","lineage":["https://openalex.org/I3133055985"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yefeng Zheng","raw_affiliation_strings":["Medical Artificial Intelligence Laboratory, West Lake University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-2195-2847","affiliations":[{"raw_affiliation_string":"Medical Artificial Intelligence Laboratory, West Lake University, Hangzhou, China","institution_ids":["https://openalex.org/I3133055985"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091017287","display_name":"Deyu Meng","orcid":"https://orcid.org/0000-0002-1294-8283"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Deyu Meng","raw_affiliation_strings":["School of Mathematics and Statistics and the Ministry of Education Key Laboratory of Intelligent Networks and Network Security, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, Shaanxi, China"],"raw_orcid":"https://orcid.org/0000-0002-1294-8283","affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics and the Ministry of Education Key Laboratory of Intelligent Networks and Network Security, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, Shaanxi, China","institution_ids":["https://openalex.org/I87445476"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.9976,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.9411367,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"36","issue":"9","first_page":"16549","last_page":"16563"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11438","display_name":"Retinal Imaging and Analysis","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9746999740600586,"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/T10250","display_name":"Glaucoma and retinal disorders","score":0.9713000059127808,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.6186429858207703},{"id":"https://openalex.org/keywords/equivariant-map","display_name":"Equivariant map","score":0.5774390697479248},{"id":"https://openalex.org/keywords/rotation","display_name":"Rotation (mathematics)","score":0.5710002779960632},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5543639659881592},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5283566117286682},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5026431083679199},{"id":"https://openalex.org/keywords/fourier-transform","display_name":"Fourier transform","score":0.4650697708129883},{"id":"https://openalex.org/keywords/parameterized-complexity","display_name":"Parameterized complexity","score":0.4444183111190796},{"id":"https://openalex.org/keywords/convolution-theorem","display_name":"Convolution theorem","score":0.413078248500824},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.31655287742614746},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.29690325260162354},{"id":"https://openalex.org/keywords/fourier-analysis","display_name":"Fourier analysis","score":0.2695583701133728},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.26023781299591064},{"id":"https://openalex.org/keywords/pure-mathematics","display_name":"Pure mathematics","score":0.23941656947135925},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.22741740942001343},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.22614046931266785},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.1636265218257904},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.12261077761650085}],"concepts":[{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.6186429858207703},{"id":"https://openalex.org/C171036898","wikidata":"https://www.wikidata.org/wiki/Q256355","display_name":"Equivariant map","level":2,"score":0.5774390697479248},{"id":"https://openalex.org/C74050887","wikidata":"https://www.wikidata.org/wiki/Q848368","display_name":"Rotation (mathematics)","level":2,"score":0.5710002779960632},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5543639659881592},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5283566117286682},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5026431083679199},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.4650697708129883},{"id":"https://openalex.org/C165464430","wikidata":"https://www.wikidata.org/wiki/Q1570441","display_name":"Parameterized complexity","level":2,"score":0.4444183111190796},{"id":"https://openalex.org/C79587385","wikidata":"https://www.wikidata.org/wiki/Q2638931","display_name":"Convolution theorem","level":5,"score":0.413078248500824},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31655287742614746},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.29690325260162354},{"id":"https://openalex.org/C203024314","wikidata":"https://www.wikidata.org/wiki/Q1365258","display_name":"Fourier analysis","level":3,"score":0.2695583701133728},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.26023781299591064},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.23941656947135925},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.22741740942001343},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.22614046931266785},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1636265218257904},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.12261077761650085},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.0},{"id":"https://openalex.org/C76563020","wikidata":"https://www.wikidata.org/wiki/Q4817582","display_name":"Fractional Fourier transform","level":4,"score":0.0}],"mesh":[{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000098415","descriptor_name":"Convolutional Neural Networks","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000098415","descriptor_name":"Convolutional Neural Networks","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":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005583","descriptor_name":"Fourier Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005583","descriptor_name":"Fourier Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D005583","descriptor_name":"Fourier Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D005583","descriptor_name":"Fourier Analysis","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":"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":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","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":"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":"Q000033","qualifier_name":"anatomy & histology","is_major_topic":true},{"descriptor_ui":"D012171","descriptor_name":"Retinal Vessels","qualifier_ui":"Q000033","qualifier_name":"anatomy & histology","is_major_topic":true},{"descriptor_ui":"D012399","descriptor_name":"Rotation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012399","descriptor_name":"Rotation","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":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2025.3560082","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2025.3560082","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:40408203","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/40408203","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 neural networks and learning systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4178513135","display_name":null,"funder_award_id":"62206214","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5817505303","display_name":null,"funder_award_id":"62272375","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2033723371","https://openalex.org/W2100756624","https://openalex.org/W2105685332","https://openalex.org/W2115806697","https://openalex.org/W2145305441","https://openalex.org/W2150769593","https://openalex.org/W2166524747","https://openalex.org/W2170092083","https://openalex.org/W2270168057","https://openalex.org/W2327793514","https://openalex.org/W2618530766","https://openalex.org/W2620722267","https://openalex.org/W2760880057","https://openalex.org/W2766736793","https://openalex.org/W2769152880","https://openalex.org/W2921406441","https://openalex.org/W2979430722","https://openalex.org/W2980185997","https://openalex.org/W2980524126","https://openalex.org/W2996290406","https://openalex.org/W3013766724","https://openalex.org/W3031923721","https://openalex.org/W3096127685","https://openalex.org/W3148874463","https://openalex.org/W3163640608","https://openalex.org/W3168404665","https://openalex.org/W3169228979","https://openalex.org/W3169847394","https://openalex.org/W3187297415","https://openalex.org/W3204497690","https://openalex.org/W4212852978","https://openalex.org/W4220953127","https://openalex.org/W4283828743","https://openalex.org/W4312568229","https://openalex.org/W4312815172","https://openalex.org/W4318141642","https://openalex.org/W4321232185","https://openalex.org/W4386092948"],"related_works":["https://openalex.org/W4363675452","https://openalex.org/W2293685972","https://openalex.org/W2899125270","https://openalex.org/W2165363605","https://openalex.org/W1997262258","https://openalex.org/W4392383417","https://openalex.org/W4290189506","https://openalex.org/W4236917868","https://openalex.org/W2267589039","https://openalex.org/W4224987185"],"abstract_inverted_index":{"Retinal":[0],"vessel":[1,50,84],"segmentation":[2,85],"is":[3,17,217],"of":[4,11,32,112,166,188],"great":[5,46],"clinical":[6,171,181,212],"significance":[7,172],"for":[8,82,173],"the":[9,24,29,33,53,88,110,118,163,174,186],"diagnosis":[10],"many":[12],"eye-related":[13],"diseases,":[14],"but":[15,145],"it":[16],"still":[18],"a":[19,57,74,93,104,154],"formidable":[20],"challenge":[21],"due":[22],"to":[23,66,200],"intricate":[25],"vascular":[26],"morphology.":[27],"With":[28],"skillful":[30],"characterization":[31],"translation":[34],"symmetry":[35],"existing":[36,101],"in":[37,48,62,103,122,180],"retinal":[38,49,63,83,201],"vessels,":[39,64],"convolutional":[40],"neural":[41],"networks":[42,102],"(CNNs)":[43],"have":[44,139],"achieved":[45],"success":[47],"segmentation.":[51],"However,":[52],"rotation-and-scale":[54,75],"symmetry,":[55],"as":[56,208],"more":[58,147],"widespread":[59],"image":[60],"prior":[61],"fails":[65],"be":[67,98],"characterized":[68],"by":[69,153],"CNNs.":[70],"Therefore,":[71],"we":[72,116,190],"propose":[73],"equivariant":[76],"Fourier":[77],"parameterized":[78],"convolution":[79,120],"(RSF-Conv)":[80],"specifically":[81],"and":[86,126,130,177,196,204],"provide":[87],"corresponding":[89],"equivariance":[90],"analysis.":[91],"As":[92],"general":[94],"module,":[95],"RSF-Conv":[96,167,193,197],"can":[97],"integrated":[99],"into":[100],"plug-and-play":[105],"manner":[106],"while":[107],"significantly":[108],"reducing":[109],"number":[111],"parameters.":[113],"For":[114],"instance,":[115],"replace":[117],"traditional":[119],"filters":[121],"U-Net,":[123],"Iter-Net,":[124],"DE-DCGCN-EE,":[125],"FR-UNet,":[127],"with":[128],"RSF-Convs,":[129],"faithfully":[131],"conduct":[132],"comprehensive":[133],"experiments.":[134],"RSF-Conv-enhanced":[135],"methods":[136,152],"not":[137],"only":[138],"slight":[140],"advantages":[141],"under":[142,157],"in-domain":[143],"evaluation":[144],"also,":[146],"importantly,":[148],"outperform":[149],"all":[150],"comparison":[151],"significant":[155],"margin":[156],"out-of-domain":[158],"evaluation.":[159],"It":[160],"indicates":[161],"that":[162],"remarkable":[164],"generalization":[165],"holds":[168],"greater":[169],"practical":[170],"prevalent":[175],"cross-device":[176],"cross-hospital":[178],"challenges":[179],"practice.":[182],"To":[183],"comprehensively":[184],"demonstrate":[185],"effectiveness":[187],"RSF-Conv,":[189],"also":[191],"apply":[192],"+":[194,198],"U-Net":[195],"Iter-Net":[199],"artery/vein":[202],"classification":[203],"achieve":[205],"promising":[206],"performance":[207],"well,":[209],"indicating":[210],"its":[211],"application":[213],"potential.":[214],"The":[215],"code":[216],"available":[218],"at":[219],"https://github.com/szhc0gk/RSF-Conv.":[220]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":3}],"updated_date":"2026-08-08T01:25:22.217667","created_date":"2025-10-10T00:00:00"}
