{"id":"https://openalex.org/W2064816085","doi":"https://doi.org/10.1109/icdsp.2013.6622734","title":"Assessing the accuracy of macula detection methods in retinal images","display_name":"Assessing the accuracy of macula detection methods in retinal images","publication_year":2013,"publication_date":"2013-07-01","ids":{"openalex":"https://openalex.org/W2064816085","doi":"https://doi.org/10.1109/icdsp.2013.6622734","mag":"2064816085"},"language":"en","primary_location":{"id":"doi:10.1109/icdsp.2013.6622734","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdsp.2013.6622734","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 18th International Conference on Digital Signal Processing (DSP)","raw_type":"proceedings-article"},"type":"article","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/A5005236232","display_name":"Rodrigo Veras","orcid":"https://orcid.org/0000-0001-8180-4032"},"institutions":[{"id":"https://openalex.org/I3121799822","display_name":"Universidade Federal do Piau\u00ed","ror":"https://ror.org/00kwnx126","country_code":"BR","type":"education","lineage":["https://openalex.org/I3121799822"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Rodrigo Veras","raw_affiliation_strings":["Departamento de Computa\u00e7\u00e3o, Universidade Federal do Piau\u00ed, Teresina, Piaui, Brazil","Dept. de Comput., Univ. Fed. do Piaui (UFPI), Teresina, Brazil"],"affiliations":[{"raw_affiliation_string":"Departamento de Computa\u00e7\u00e3o, Universidade Federal do Piau\u00ed, Teresina, Piaui, Brazil","institution_ids":["https://openalex.org/I3121799822"]},{"raw_affiliation_string":"Dept. de Comput., Univ. Fed. do Piaui (UFPI), Teresina, Brazil","institution_ids":["https://openalex.org/I3121799822"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102823032","display_name":"F.N.S. Medeiros","orcid":"https://orcid.org/0000-0002-4143-1486"},"institutions":[{"id":"https://openalex.org/I243754102","display_name":"Universidade Federal do Cear\u00e1","ror":"https://ror.org/03srtnf24","country_code":"BR","type":"education","lineage":["https://openalex.org/I243754102"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Fatima Medeiros","raw_affiliation_strings":["Departamento de Engenharia de Teleinform\u00e1tica, Universidade Federal do Cear\u00e1, Fortaleza, Ceara, Brazil","Dept. de Eng. de Teleinformatica, Univ. Fed. do Ceara - UFC, Fortaleza, Brazil"],"affiliations":[{"raw_affiliation_string":"Departamento de Engenharia de Teleinform\u00e1tica, Universidade Federal do Cear\u00e1, Fortaleza, Ceara, Brazil","institution_ids":["https://openalex.org/I243754102"]},{"raw_affiliation_string":"Dept. de Eng. de Teleinformatica, Univ. Fed. do Ceara - UFC, Fortaleza, Brazil","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028793428","display_name":"Romuere Silva","orcid":"https://orcid.org/0000-0002-7163-7469"},"institutions":[{"id":"https://openalex.org/I3121799822","display_name":"Universidade Federal do Piau\u00ed","ror":"https://ror.org/00kwnx126","country_code":"BR","type":"education","lineage":["https://openalex.org/I3121799822"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Romuere Silva","raw_affiliation_strings":["Departamento de Computa\u00e7\u00e3o, Universidade Federal do Piau\u00ed, Teresina, Piaui, Brazil","Dept. de Comput., Univ. Fed. do Piaui (UFPI), Teresina, Brazil"],"affiliations":[{"raw_affiliation_string":"Departamento de Computa\u00e7\u00e3o, Universidade Federal do Piau\u00ed, Teresina, Piaui, Brazil","institution_ids":["https://openalex.org/I3121799822"]},{"raw_affiliation_string":"Dept. de Comput., Univ. Fed. do Piaui (UFPI), Teresina, Brazil","institution_ids":["https://openalex.org/I3121799822"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050276927","display_name":"Daniela Ushizima","orcid":"https://orcid.org/0000-0002-7363-9468"},"institutions":[{"id":"https://openalex.org/I148283060","display_name":"Lawrence Berkeley National Laboratory","ror":"https://ror.org/02jbv0t02","country_code":"US","type":"facility","lineage":["https://openalex.org/I1330989302","https://openalex.org/I148283060","https://openalex.org/I39565521"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Daniela Ushizima","raw_affiliation_strings":["Computational Research Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA","Comput. Res. Div., Lawrence Berkeley Nat. Lab. - LNBL, Berkeley, CA, USA"],"affiliations":[{"raw_affiliation_string":"Computational Research Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA","institution_ids":["https://openalex.org/I148283060"]},{"raw_affiliation_string":"Comput. Res. Div., Lawrence Berkeley Nat. Lab. - LNBL, Berkeley, CA, USA","institution_ids":["https://openalex.org/I148283060"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5005236232"],"corresponding_institution_ids":["https://openalex.org/I3121799822"],"apc_list":null,"apc_paid":null,"fwci":0.7744,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.74205925,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"2","issue":null,"first_page":"1","last_page":"6"},"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":0.9901999831199646,"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/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/computer-science","display_name":"Computer science","score":0.7972179651260376},{"id":"https://openalex.org/keywords/fundus","display_name":"Fundus (uterus)","score":0.6202375888824463},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5311388373374939},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4761804938316345},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.42581623792648315},{"id":"https://openalex.org/keywords/retinal","display_name":"Retinal","score":0.4162508249282837},{"id":"https://openalex.org/keywords/grading","display_name":"Grading (engineering)","score":0.4132280945777893},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34405505657196045},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.28878021240234375},{"id":"https://openalex.org/keywords/ophthalmology","display_name":"Ophthalmology","score":0.21459528803825378},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.18776467442512512}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7972179651260376},{"id":"https://openalex.org/C2776391266","wikidata":"https://www.wikidata.org/wiki/Q9612","display_name":"Fundus (uterus)","level":2,"score":0.6202375888824463},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5311388373374939},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4761804938316345},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.42581623792648315},{"id":"https://openalex.org/C2780827179","wikidata":"https://www.wikidata.org/wiki/Q422001","display_name":"Retinal","level":2,"score":0.4162508249282837},{"id":"https://openalex.org/C2777286243","wikidata":"https://www.wikidata.org/wiki/Q5591926","display_name":"Grading (engineering)","level":2,"score":0.4132280945777893},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34405505657196045},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.28878021240234375},{"id":"https://openalex.org/C118487528","wikidata":"https://www.wikidata.org/wiki/Q161437","display_name":"Ophthalmology","level":1,"score":0.21459528803825378},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.18776467442512512},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C147176958","wikidata":"https://www.wikidata.org/wiki/Q77590","display_name":"Civil engineering","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icdsp.2013.6622734","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdsp.2013.6622734","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 18th International Conference on Digital Signal Processing (DSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W105245287","https://openalex.org/W1976647582","https://openalex.org/W1995023030","https://openalex.org/W2026049502","https://openalex.org/W2049729972","https://openalex.org/W2060819847","https://openalex.org/W2069543979","https://openalex.org/W2097570228","https://openalex.org/W2106742219","https://openalex.org/W2116273337","https://openalex.org/W2123303981","https://openalex.org/W2126891598","https://openalex.org/W2137923858","https://openalex.org/W2146898399","https://openalex.org/W2150769593","https://openalex.org/W2169736040","https://openalex.org/W6604329222","https://openalex.org/W6674719656","https://openalex.org/W6680099990"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W4321353415","https://openalex.org/W2745001401","https://openalex.org/W2130974462","https://openalex.org/W2028665553","https://openalex.org/W2086519370","https://openalex.org/W972276598","https://openalex.org/W2087343574","https://openalex.org/W4246352526","https://openalex.org/W2121910908"],"abstract_inverted_index":{"Fundus":[0],"images":[1],"are":[2,165],"valuable":[3],"resource":[4],"in":[5,35,67],"diagnosis":[6],"because":[7],"they":[8],"often":[9],"present":[10],"indications":[11],"about":[12],"retinal,":[13],"ophthalmic,":[14],"and":[15,23,26,182,196],"even":[16],"systemic":[17],"diseases":[18],"such":[19,184],"as":[20,159,161],"diabetes,":[21],"hypertension,":[22],"arteriosclerosis.":[24],"Processing":[25],"analysis":[27],"constitutes":[28],"a":[29,47,78,82,109,116,138,151],"relevant":[30],"task":[31],"to":[32,44,101,120,149,167,191,194],"help":[33],"specialists":[34,193],"detecting":[36],"eye":[37],"diseases.":[38],"This":[39],"paper":[40],"focuses":[41],"on":[42],"algorithms":[43,71],"detect":[45],"macula,":[46],"fundamental":[48],"structure":[49],"associated":[50],"with":[51],"the":[52,103,106,172,177,192],"macular":[53,169,198],"degeneration,":[54],"that":[55,154,164,185],"can":[56],"be":[57],"recognized":[58],"from":[59],"fundus":[60],"image.":[61],"We":[62],"notice":[63],"two":[64],"typical":[65],"ways":[66],"which":[68],"macula":[69,122,129],"detection":[70,123,130],"have":[72],"been":[73],"evaluated:":[74],"a)":[75],"one":[76,94],"uses":[77],"particular":[79],"image":[80,86],"or":[81],"single":[83],"benchmark":[84,135],"retina":[85],"database":[87],"instead":[88],"of":[89,99,108,118,140,145],"several":[90],"public":[91,134],"ones;":[92],"b)":[93],"selects":[95],"an":[96,188],"ad-hoc":[97],"set":[98,117],"metrics":[100],"perform":[102],"evaluation":[104],"for":[105],"lack":[107],"standard.":[110],"In":[111],"this":[112,146],"paper,":[113],"we":[114,126],"propose":[115],"rules":[119],"assess":[121],"algorithms,":[124,131,158],"then":[125],"compare":[127],"four":[128],"using":[132,137],"three":[133],"databases,":[136],"total":[139],"254":[141],"images.":[142],"The":[143],"contribution":[144],"work":[147],"is":[148],"devise":[150],"grading":[152],"scheme":[153],"allows":[155],"comparing":[156],"different":[157],"well":[160],"identifying":[162],"cases":[163],"likely":[166],"contain":[168],"abnormalities.":[170],"Finally,":[171],"proposed":[173],"assessment":[174],"methodology":[175],"splits":[176],"results":[178],"into":[179],"success,":[180],"satisfactory":[181],"failure,":[183],"it":[186],"provides":[187],"easier":[189],"entry":[190],"address":[195],"grade":[197],"edema":[199],"disease.":[200]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}