{"id":"https://openalex.org/W4416366487","doi":"https://doi.org/10.1109/jbhi.2025.3634356","title":"Dual-Field Microvascular Segmentation: Hemodynamically-Consistent Attention Learning for Retinal Vasculature Mapping","display_name":"Dual-Field Microvascular Segmentation: Hemodynamically-Consistent Attention Learning for Retinal Vasculature Mapping","publication_year":2025,"publication_date":"2025-11-19","ids":{"openalex":"https://openalex.org/W4416366487","doi":"https://doi.org/10.1109/jbhi.2025.3634356","pmid":"https://pubmed.ncbi.nlm.nih.gov/41259169"},"language":"en","primary_location":{"id":"doi:10.1109/jbhi.2025.3634356","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2025.3634356","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/A5102901822","display_name":"Jingling Zhang","orcid":"https://orcid.org/0009-0006-6555-5201"},"institutions":[{"id":"https://openalex.org/I6469544","display_name":"City University of Macau","ror":"https://ror.org/04gpd4q15","country_code":"MO","type":"education","lineage":["https://openalex.org/I6469544"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Jingling Zhang","raw_affiliation_strings":["Institute of Data Science, City University of Macau, Macau, China"],"raw_orcid":"https://orcid.org/0009-0007-8701-7567","affiliations":[{"raw_affiliation_string":"Institute of Data Science, City University of Macau, Macau, China","institution_ids":["https://openalex.org/I6469544"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003371899","display_name":"Xiangfei Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]},{"id":"https://openalex.org/I6469544","display_name":"City University of Macau","ror":"https://ror.org/04gpd4q15","country_code":"MO","type":"education","lineage":["https://openalex.org/I6469544"]}],"countries":["CN","MO"],"is_corresponding":false,"raw_author_name":"Xiangfei Liu","raw_affiliation_strings":["Institute of Data Science, City University of Macau, Macau, China","Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong, China"],"raw_orcid":"https://orcid.org/0009-0001-6956-9815","affiliations":[{"raw_affiliation_string":"Institute of Data Science, City University of Macau, Macau, China","institution_ids":["https://openalex.org/I6469544"]},{"raw_affiliation_string":"Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040621140","display_name":"Shuting Zheng","orcid":null},"institutions":[{"id":"https://openalex.org/I64449678","display_name":"Putian University","ror":"https://ror.org/00jmsxk74","country_code":"CN","type":"education","lineage":["https://openalex.org/I64449678"]},{"id":"https://openalex.org/I6469544","display_name":"City University of Macau","ror":"https://ror.org/04gpd4q15","country_code":"MO","type":"education","lineage":["https://openalex.org/I6469544"]}],"countries":["CN","MO"],"is_corresponding":false,"raw_author_name":"Shuting Zheng","raw_affiliation_strings":["Institute of Data Science, City University of Macau, Macau, China","New Engineering Industry College, Putian University, Putian, Fujian Province, China"],"raw_orcid":"https://orcid.org/0009-0003-6620-9632","affiliations":[{"raw_affiliation_string":"Institute of Data Science, City University of Macau, Macau, China","institution_ids":["https://openalex.org/I6469544"]},{"raw_affiliation_string":"New Engineering Industry College, Putian University, Putian, Fujian Province, China","institution_ids":["https://openalex.org/I64449678"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115596895","display_name":"Wen Zhang","orcid":"https://orcid.org/0009-0008-1519-4692"},"institutions":[{"id":"https://openalex.org/I63772739","display_name":"Florida Atlantic University","ror":"https://ror.org/05p8w6387","country_code":"US","type":"education","lineage":["https://openalex.org/I63772739"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wen Zhang","raw_affiliation_strings":["Charles E. Schmidt College of Science, Florida Atlantic University, Boca Raton, FL, USA","Charles E. Schmidt College of Science, Florida Atlantic University, Boca Raton, USA"],"raw_orcid":"https://orcid.org/0000-0001-7370-4306","affiliations":[{"raw_affiliation_string":"Charles E. Schmidt College of Science, Florida Atlantic University, Boca Raton, FL, USA","institution_ids":["https://openalex.org/I63772739"]},{"raw_affiliation_string":"Charles E. Schmidt College of Science, Florida Atlantic University, Boca Raton, USA","institution_ids":["https://openalex.org/I63772739"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100370031","display_name":"Jia Gu","orcid":"https://orcid.org/0000-0002-0642-3966"},"institutions":[{"id":"https://openalex.org/I6469544","display_name":"City University of Macau","ror":"https://ror.org/04gpd4q15","country_code":"MO","type":"education","lineage":["https://openalex.org/I6469544"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Jia Gu","raw_affiliation_strings":["Institute of Data Science, City University of Macau, Macau, China"],"raw_orcid":"https://orcid.org/0000-0001-7498-9892","affiliations":[{"raw_affiliation_string":"Institute of Data Science, City University of Macau, Macau, China","institution_ids":["https://openalex.org/I6469544"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.39420646,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"30","issue":"6","first_page":"5142","last_page":"5155"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11438","display_name":"Retinal Imaging and Analysis","score":0.9362999796867371,"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":0.9362999796867371,"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/T10170","display_name":"Retinal Diseases and Treatments","score":0.010700000450015068,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.007400000002235174,"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/segmentation","display_name":"Segmentation","score":0.5734999775886536},{"id":"https://openalex.org/keywords/retinal","display_name":"Retinal","score":0.4921000003814697},{"id":"https://openalex.org/keywords/limiting","display_name":"Limiting","score":0.412200003862381},{"id":"https://openalex.org/keywords/diabetic-retinopathy","display_name":"Diabetic retinopathy","score":0.3921999931335449},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.37279999256134033},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3580000102519989},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.32030001282691956}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7829999923706055},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5734999775886536},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5641000270843506},{"id":"https://openalex.org/C2780827179","wikidata":"https://www.wikidata.org/wiki/Q422001","display_name":"Retinal","level":2,"score":0.4921000003814697},{"id":"https://openalex.org/C188198153","wikidata":"https://www.wikidata.org/wiki/Q1613840","display_name":"Limiting","level":2,"score":0.412200003862381},{"id":"https://openalex.org/C2779829184","wikidata":"https://www.wikidata.org/wiki/Q631361","display_name":"Diabetic retinopathy","level":3,"score":0.3921999931335449},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.37279999256134033},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3625999987125397},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3580000102519989},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.32030001282691956},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.30140000581741333},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.3005000054836273},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.2962999939918518},{"id":"https://openalex.org/C2778818243","wikidata":"https://www.wikidata.org/wiki/Q899552","display_name":"Optical coherence tomography","level":2,"score":0.29010000824928284},{"id":"https://openalex.org/C126057942","wikidata":"https://www.wikidata.org/wiki/Q35158","display_name":"Stereoscopy","level":2,"score":0.2694999873638153},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.26739999651908875},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.2653999924659729}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006439","descriptor_name":"Hemodynamics","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, 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":"Q000502","qualifier_name":"physiology","is_major_topic":true},{"descriptor_ui":"D055806","descriptor_name":"Microvessels","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1109/jbhi.2025.3634356","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2025.3634356","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:41259169","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/41259169","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}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7333045877","display_name":null,"funder_award_id":"2022SZ3001ptxy03","funder_id":"https://openalex.org/F4320325924","funder_display_name":"Putian Science and Technology Bureau"}],"funders":[{"id":"https://openalex.org/F4320325924","display_name":"Putian Science and Technology Bureau","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Accurate":[0],"retinal":[1,160,204,231],"Microvascular":[2],"segmentation":[3,46],"demands":[4],"a":[5,43,81,119,142,225],"balanced":[6],"combination":[7],"of":[8,94,99,105,156,182,190],"anatomical":[9],"fidelity":[10],"and":[11,27,33,59,103,115,132,162,178,207,232],"hemodynamic":[12],"relevance.":[13],"However,":[14],"existing":[15],"methods":[16],"fall":[17],"short":[18],"in":[19,159,193],"preserving":[20,65],"critical":[21],"structures":[22],"such":[23],"as":[24],"capillary":[25,191],"junctions":[26],"bifurcations,":[28],"thus":[29],"limiting":[30],"clinical":[31],"applications":[32],"causing":[34],"fragmentation.":[35],"To":[36,151],"address":[37,152],"these":[38],"limitations,":[39],"we":[40,136,164],"propose":[41,137,165],"DFMS-Net,":[42],"novel":[44],"dual-field":[45],"framework":[47],"that":[48,127,169,214],"synergistically":[49],"integrates":[50],"geometric-field":[51],"modeling-achieved":[52],"through":[53,197],"the":[54,71,153,180],"Spatial":[55],"Pathway":[56],"Extractor":[57],"(SPE)":[58],"Transformer-based":[60],"Topology":[61],"Interaction":[62],"(TTI)":[63],"for":[64,77,147,228],"structural":[66,157],"continuity-and":[67],"functional-field":[68],"optimization-realized":[69],"by":[70],"Semantic":[72],"Attention":[73,85,146],"Amplification":[74],"(SAA)":[75],"module":[76,90],"enhancing":[78],"semantic":[79],"visibility-via":[80],"unified":[82,120],"Dual-Field":[83],"Hemodynamic":[84],"(DFHA)":[86],"mechanism.":[87],"This":[88],"core":[89],"enables":[91],"joint":[92],"enhancement":[93],"vessel":[95,148],"continuity,":[96],"accurate":[97,131],"resolution":[98],"complex":[100],"branching":[101],"patterns,":[102],"recovery":[104],"low-contrast":[106],"capillaries,":[107],"all":[108],"under":[109],"physiological":[110],"guidance.":[111],"By":[112],"co-optimizing":[113],"geometric":[114],"functional":[116],"cues":[117],"within":[118],"attention":[121],"learning":[122],"paradigm,":[123],"DFMS-Net":[124,215],"produces":[125],"segmentations":[126],"are":[128],"both":[129,230],"morphologically":[130],"hemodynamically":[133],"plausible.":[134],"Furthermore,":[135],"two":[138],"specialized":[139],"variants":[140],"using":[141],"streamlined":[143,167],"Double":[144],"SPE":[145],"continuity":[149],"refinement.":[150],"directionality-dependent":[154],"nature":[155],"damage":[158],"ischemia":[161],"glaucoma,":[163],"Variant-1-a":[166],"architecture":[168],"emphasizes":[170],"dual-stage":[171],"directional":[172],"refinement":[173],"to":[174],"enhance":[175],"trajectory":[176],"coherence":[177],"improve":[179],"detection":[181],"topological":[183],"disruptions,":[184],"while":[185],"Variant-2":[186],"supports":[187],"high-resolution":[188],"analysis":[189],"dropout":[192],"early":[194],"diabetic":[195],"retinopathy":[196],"detailed":[198],"microvascular":[199],"recovery.":[200],"Extensive":[201],"experiments":[202],"on":[203],"(DRIVE,":[205],"STARE)":[206],"coronary":[208],"angiography":[209],"(DCA1,":[210],"CHUAC)":[211],"datasets":[212],"demonstrate":[213],"achieves":[216],"state-of-the-art":[217],"performance.":[218],"Meanwhile,":[219],"its":[220],"strong":[221],"generalization":[222],"capability":[223],"offers":[224],"promising":[226],"foundation":[227],"diagnosing":[229],"cardiovascular":[233],"diseases.":[234],"The":[235],"code":[236],"will":[237],"be":[238],"available":[239],"at":[240],"https://github.com/699zjl/DFMS-Net-new.":[241]},"counts_by_year":[],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-11-19T00:00:00"}
