{"id":"https://openalex.org/W2539154683","doi":"https://doi.org/10.1109/embc.2016.7590947","title":"Adaptive Higuchi's dimension-based retinal vessel diameter measurement","display_name":"Adaptive Higuchi's dimension-based retinal vessel diameter measurement","publication_year":2016,"publication_date":"2016-08-01","ids":{"openalex":"https://openalex.org/W2539154683","doi":"https://doi.org/10.1109/embc.2016.7590947","mag":"2539154683","pmid":"https://pubmed.ncbi.nlm.nih.gov/28268566"},"language":"en","primary_location":{"id":"doi:10.1109/embc.2016.7590947","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc.2016.7590947","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://figshare.com/articles/conference_contribution/Adaptive_Higuchi_s_dimension-based_retinal_vessel_diameter_measurement/27396570","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5015173931","display_name":"Behzad Aliahmad","orcid":"https://orcid.org/0000-0002-5671-4913"},"institutions":[{"id":"https://openalex.org/I82951845","display_name":"RMIT University","ror":"https://ror.org/04ttjf776","country_code":"AU","type":"education","lineage":["https://openalex.org/I82951845"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Behzad Aliahmad","raw_affiliation_strings":["School of Electrical and Computer Engineering, RMIT University, Melbourne, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, RMIT University, Melbourne, Australia","institution_ids":["https://openalex.org/I82951845"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100328491","display_name":"Dinesh Kumar","orcid":"https://orcid.org/0000-0003-3602-4023"},"institutions":[{"id":"https://openalex.org/I82951845","display_name":"RMIT University","ror":"https://ror.org/04ttjf776","country_code":"AU","type":"education","lineage":["https://openalex.org/I82951845"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Dinesh K. Kumar","raw_affiliation_strings":["School of Electrical and Computer Engineering, RMIT University, Melbourne, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, RMIT University, Melbourne, Australia","institution_ids":["https://openalex.org/I82951845"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I82951845"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"2016","issue":null,"first_page":"1308","last_page":"1311"},"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/T10250","display_name":"Glaucoma and retinal disorders","score":0.9923999905586243,"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":0.9907000064849854,"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/subpixel-rendering","display_name":"Subpixel rendering","score":0.8321300745010376},{"id":"https://openalex.org/keywords/fractal-dimension","display_name":"Fractal dimension","score":0.7000498175621033},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.6999754905700684},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6608492136001587},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6389918923377991},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.544335663318634},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4942586421966553},{"id":"https://openalex.org/keywords/fundus","display_name":"Fundus (uterus)","score":0.45338308811187744},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.42417556047439575},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4131908714771271},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4067975580692291},{"id":"https://openalex.org/keywords/fractal","display_name":"Fractal","score":0.284242182970047},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.26197725534439087},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21126660704612732}],"concepts":[{"id":"https://openalex.org/C68516990","wikidata":"https://www.wikidata.org/wiki/Q452912","display_name":"Subpixel rendering","level":3,"score":0.8321300745010376},{"id":"https://openalex.org/C26546657","wikidata":"https://www.wikidata.org/wiki/Q1412452","display_name":"Fractal dimension","level":3,"score":0.7000498175621033},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.6999754905700684},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6608492136001587},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6389918923377991},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.544335663318634},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4942586421966553},{"id":"https://openalex.org/C2776391266","wikidata":"https://www.wikidata.org/wiki/Q9612","display_name":"Fundus (uterus)","level":2,"score":0.45338308811187744},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.42417556047439575},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4131908714771271},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4067975580692291},{"id":"https://openalex.org/C40636538","wikidata":"https://www.wikidata.org/wiki/Q81392","display_name":"Fractal","level":2,"score":0.284242182970047},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.26197725534439087},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21126660704612732},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C118487528","wikidata":"https://www.wikidata.org/wiki/Q161437","display_name":"Ophthalmology","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0}],"mesh":[{"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":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008962","descriptor_name":"Models, Theoretical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008962","descriptor_name":"Models, Theoretical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008962","descriptor_name":"Models, Theoretical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D010781","descriptor_name":"Photography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D010781","descriptor_name":"Photography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D010781","descriptor_name":"Photography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012171","descriptor_name":"Retinal Vessels","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012171","descriptor_name":"Retinal Vessels","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012171","descriptor_name":"Retinal Vessels","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D017709","descriptor_name":"Fractals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D017709","descriptor_name":"Fractals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D017709","descriptor_name":"Fractals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":4,"locations":[{"id":"doi:10.1109/embc.2016.7590947","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc.2016.7590947","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)","raw_type":"proceedings-article"},{"id":"pmid:28268566","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/28268566","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},{"id":"pmh:oai:alma.61RMIT_INST:11247175740001341","is_oa":false,"landing_page_url":"https://doi.org/10.1109/EMBC.2016.7590947","pdf_url":null,"source":{"id":"https://openalex.org/S4306402074","display_name":"RMIT Research Repository (RMIT University Library)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I82951845","host_organization_name":"RMIT University","host_organization_lineage":["https://openalex.org/I82951845"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"pmh:oai:figshare.com:article/27396570","is_oa":true,"landing_page_url":"https://figshare.com/articles/conference_contribution/Adaptive_Higuchi_s_dimension-based_retinal_vessel_diameter_measurement/27396570","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference contribution"}],"best_oa_location":{"id":"pmh:oai:figshare.com:article/27396570","is_oa":true,"landing_page_url":"https://figshare.com/articles/conference_contribution/Adaptive_Higuchi_s_dimension-based_retinal_vessel_diameter_measurement/27396570","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference contribution"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1159807360","https://openalex.org/W1991822469","https://openalex.org/W1994233698","https://openalex.org/W2060870646","https://openalex.org/W2096552918","https://openalex.org/W2108764134","https://openalex.org/W2119486327","https://openalex.org/W2125660481","https://openalex.org/W2127302541","https://openalex.org/W2151083488","https://openalex.org/W2152263083","https://openalex.org/W2155122478","https://openalex.org/W2163344010","https://openalex.org/W2170536743","https://openalex.org/W2171459511","https://openalex.org/W6627563537"],"related_works":["https://openalex.org/W2369528593","https://openalex.org/W2385629811","https://openalex.org/W2638735979","https://openalex.org/W2111510641","https://openalex.org/W2386795888","https://openalex.org/W1968995436","https://openalex.org/W2382389562","https://openalex.org/W2054875742","https://openalex.org/W2056216430","https://openalex.org/W1522196789"],"abstract_inverted_index":{"This":[0,38,109],"paper":[1],"proposes":[2],"the":[3,11,23,26,30,35,48,67,79,99,123,138,148],"use":[4],"of":[5,13,29,47,66,69,137],"an":[6],"adaptive":[7],"model":[8,59,95,110,142],"to":[9,34],"measure":[10],"width":[12,150],"retinal":[14],"vessels":[15,49],"in":[16],"fundus":[17],"photographs.":[18],"It":[19],"is":[20,32,52,60,143],"based":[21,56],"on":[22],"hypothesis":[24],"that":[25],"Higuchi's":[27,89,102],"dimension":[28,91],"cross-section":[31,81],"proportional":[33],"vessel":[36,68,80,104,124,149],"diameter.":[37],"approach":[39],"does":[40,155],"not":[41,156],"require":[42,157],"image":[43,65],"segmentation":[44],"and":[45,50,72,86,106,120,154],"binarization":[46],"therefore":[51],"suitable":[53],"for":[54,122,126],"machine":[55],"measurements.":[57],"The":[58,129,141],"developed":[61],"using":[62,88,98,114],"a":[63,76,132],"synthetic":[64],"known":[70],"diameter":[71,105,125],"added":[73],"noise.":[74],"As":[75],"first":[77],"step,":[78],"profiles":[82],"were":[83],"manually":[84],"obtained":[85],"analyzed":[87],"fractal":[90],"method.":[92],"A":[93],"3D":[94],"was":[96,111],"formed":[97],"relationship":[100],"between":[101],"dimension,":[103],"noise":[107,145],"variance.":[108],"then":[112],"evaluated":[113],"expert":[115],"annotated":[116],"REVIEW":[117],"public":[118],"database":[119],"solved":[121],"performance":[127],"evaluation.":[128],"result":[130],"showed":[131],"good":[133],"agreement":[134],"with":[135,151],"state":[136],"art":[139],"techniques.":[140],"background":[144],"tolerant,":[146],"estimates":[147],"subpixel":[152],"precision":[153],"manual":[158],"intervention.":[159]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":4}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
