{"id":"https://openalex.org/W1983156434","doi":"https://doi.org/10.1109/icassp.2010.5495144","title":"Automated localization of macula-fovea area on retina images using blood vessel network topology","display_name":"Automated localization of macula-fovea area on retina images using blood vessel network topology","publication_year":2010,"publication_date":"2010-01-01","ids":{"openalex":"https://openalex.org/W1983156434","doi":"https://doi.org/10.1109/icassp.2010.5495144","mag":"1983156434"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2010.5495144","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2010.5495144","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Acoustics, Speech and Signal Processing","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"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/A5065506001","display_name":"Huajun Ying","orcid":null},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Huajun Ying","raw_affiliation_strings":["Department of Computer Science, Texas A and M University, TX, USA","Department of Computer Science, Texas A&M University, College Station, USA 77843-3112#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Texas A and M University, TX, USA","institution_ids":["https://openalex.org/I91045830"]},{"raw_affiliation_string":"Department of Computer Science, Texas A&M University, College Station, USA 77843-3112#TAB#","institution_ids":["https://openalex.org/I91045830"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024732465","display_name":"Jyh\u2010Charn Liu","orcid":"https://orcid.org/0000-0003-1330-5092"},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jyh-Charn Liu","raw_affiliation_strings":["Department of Computer Science, Texas A and M University, TX, USA","Department of Computer Science, Texas A&M University, College Station, USA 77843-3112#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Texas A and M University, TX, USA","institution_ids":["https://openalex.org/I91045830"]},{"raw_affiliation_string":"Department of Computer Science, Texas A&M University, College Station, USA 77843-3112#TAB#","institution_ids":["https://openalex.org/I91045830"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I91045830"],"apc_list":null,"apc_paid":null,"fwci":5.4616,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.96097955,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":88,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"650","last_page":"653"},"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/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"}},{"id":"https://openalex.org/T10170","display_name":"Retinal Diseases and Treatments","score":0.986299991607666,"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/retina","display_name":"Retina","score":0.8773385882377625},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7243221402168274},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5599779486656189},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5574825406074524},{"id":"https://openalex.org/keywords/retinal","display_name":"Retinal","score":0.5060943961143494},{"id":"https://openalex.org/keywords/fovea-centralis","display_name":"Fovea centralis","score":0.4851192235946655},{"id":"https://openalex.org/keywords/field-of-view","display_name":"Field of view","score":0.48268556594848633},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.4823319613933563},{"id":"https://openalex.org/keywords/network-topology","display_name":"Network topology","score":0.428725004196167},{"id":"https://openalex.org/keywords/foveal","display_name":"Foveal","score":0.3067987561225891},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.20883020758628845},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.18848541378974915},{"id":"https://openalex.org/keywords/ophthalmology","display_name":"Ophthalmology","score":0.16042637825012207},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1576557755470276},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.13294842839241028}],"concepts":[{"id":"https://openalex.org/C2777093970","wikidata":"https://www.wikidata.org/wiki/Q169342","display_name":"Retina","level":2,"score":0.8773385882377625},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7243221402168274},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5599779486656189},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5574825406074524},{"id":"https://openalex.org/C2780827179","wikidata":"https://www.wikidata.org/wiki/Q422001","display_name":"Retinal","level":2,"score":0.5060943961143494},{"id":"https://openalex.org/C2779736970","wikidata":"https://www.wikidata.org/wiki/Q865103","display_name":"Fovea centralis","level":4,"score":0.4851192235946655},{"id":"https://openalex.org/C150627866","wikidata":"https://www.wikidata.org/wiki/Q1076893","display_name":"Field of view","level":2,"score":0.48268556594848633},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.4823319613933563},{"id":"https://openalex.org/C199845137","wikidata":"https://www.wikidata.org/wiki/Q145490","display_name":"Network topology","level":2,"score":0.428725004196167},{"id":"https://openalex.org/C30181142","wikidata":"https://www.wikidata.org/wiki/Q865103","display_name":"Foveal","level":3,"score":0.3067987561225891},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.20883020758628845},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.18848541378974915},{"id":"https://openalex.org/C118487528","wikidata":"https://www.wikidata.org/wiki/Q161437","display_name":"Ophthalmology","level":1,"score":0.16042637825012207},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1576557755470276},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.13294842839241028},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icassp.2010.5495144","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2010.5495144","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Acoustics, Speech and Signal Processing","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.1014.5658","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.1014.5658","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.mirlab.org/conference_papers/International_Conference/ICASSP%202010/pdfs/0000650.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.6499999761581421}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1969176779","https://openalex.org/W1985117567","https://openalex.org/W2026755784","https://openalex.org/W2033589392","https://openalex.org/W2056842831","https://openalex.org/W2065856652","https://openalex.org/W2115298507","https://openalex.org/W2123303981","https://openalex.org/W2154388365","https://openalex.org/W2167881544","https://openalex.org/W6656952569"],"related_works":["https://openalex.org/W1981269488","https://openalex.org/W2056898486","https://openalex.org/W2001855698","https://openalex.org/W1969819364","https://openalex.org/W3200592945","https://openalex.org/W4210535776","https://openalex.org/W4200023798","https://openalex.org/W2038662626","https://openalex.org/W1982841155","https://openalex.org/W2094935827"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,42],"propose":[4],"a":[5],"simple":[6],"yet":[7],"robust":[8],"unsupervised":[9],"algorithm":[10,125],"for":[11],"automated":[12],"localization":[13],"of":[14,26,55,75,78,93],"macula-fovea":[15,28,72,112],"area":[16,29,113],"on":[17,30,51,114,128],"retina":[18,31,45,115,133],"images.":[19],"The":[20,124],"small":[21],"sizes":[22],"and":[23,59,61,121,131,136],"weak":[24],"contrast":[25],"the":[27,44,65,71,76,89,94,111],"images":[32,116],"make":[33],"it":[34,38,63],"unreliable":[35],"to":[36,69],"detect":[37],"directly.":[39],"As":[40],"such,":[41],"extract":[43],"blood":[46,56,96],"vessel":[47,57,97],"network":[48],"topology":[49,92],"based":[50],"local":[52],"energy":[53],"function":[54],"widths":[58],"densities":[60],"use":[62],"as":[64,82,84],"main":[66],"image":[67,134],"cue":[68],"position":[70],"area.":[73],"Regardless":[74],"severity":[77],"most":[79],"retinal":[80,95],"diseases":[81],"well":[83],"variations":[85],"in":[86],"field":[87,119],"clarity,":[88],"high":[90],"level":[91],"flows":[98],"remains":[99],"fairly":[100],"predictable.":[101],"Compared":[102],"with":[103,117],"conventional":[104],"algorithms,":[105],"our":[106],"method":[107],"can":[108],"effectively":[109],"localize":[110],"inadequate":[118],"clarity":[120],"diseased":[122],"conditions.":[123],"is":[126],"tested":[127],"both":[129],"STARE":[130],"DRIVE":[132],"databases":[135],"gained":[137],"satisfactory":[138],"detection":[139],"results.":[140]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":4},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":4}],"updated_date":"2026-08-26T07:47:46.906454","created_date":"2025-10-10T00:00:00"}