{"id":"https://openalex.org/W3135681668","doi":"https://doi.org/10.1109/ssd49366.2020.9364139","title":"Application of learning algorithm for Diabetic Retinopathy Diagnosis","display_name":"Application of learning algorithm for Diabetic Retinopathy Diagnosis","publication_year":2020,"publication_date":"2020-07-20","ids":{"openalex":"https://openalex.org/W3135681668","doi":"https://doi.org/10.1109/ssd49366.2020.9364139","mag":"3135681668"},"language":"en","primary_location":{"id":"doi:10.1109/ssd49366.2020.9364139","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssd49366.2020.9364139","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 17th International Multi-Conference on Systems, Signals &amp; Devices (SSD)","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/A5089902047","display_name":"Nihel Zaaboub","orcid":"https://orcid.org/0000-0002-0411-2419"},"institutions":[{"id":"https://openalex.org/I4210131288","display_name":"National Engineering School of Tunis","ror":"https://ror.org/03b1zjt31","country_code":"TN","type":"education","lineage":["https://openalex.org/I4210131288","https://openalex.org/I63596082"]},{"id":"https://openalex.org/I63596082","display_name":"Tunis El Manar University","ror":"https://ror.org/029cgt552","country_code":"TN","type":"education","lineage":["https://openalex.org/I63596082"]}],"countries":["TN"],"is_corresponding":true,"raw_author_name":"Nihel Zaaboub","raw_affiliation_strings":["National Engeneering School of Tunis (ENIT), University of Tunis El Manar"],"affiliations":[{"raw_affiliation_string":"National Engeneering School of Tunis (ENIT), University of Tunis El Manar","institution_ids":["https://openalex.org/I4210131288","https://openalex.org/I63596082"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043900706","display_name":"Ali Douik","orcid":"https://orcid.org/0000-0002-0178-501X"},"institutions":[{"id":"https://openalex.org/I8636806","display_name":"University of Sousse","ror":"https://ror.org/00dmpgj58","country_code":"TN","type":"education","lineage":["https://openalex.org/I8636806"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Ali Douik","raw_affiliation_strings":["National Engeneering School of Sousse (ENISo), University of Sousse"],"affiliations":[{"raw_affiliation_string":"National Engeneering School of Sousse (ENISo), University of Sousse","institution_ids":["https://openalex.org/I8636806"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5089902047"],"corresponding_institution_ids":["https://openalex.org/I4210131288","https://openalex.org/I63596082"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.25705085,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"1","issue":null,"first_page":"17","last_page":"21"},"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/T10170","display_name":"Retinal Diseases and Treatments","score":0.9897000193595886,"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/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9692999720573425,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.7871213555335999},{"id":"https://openalex.org/keywords/diabetic-retinopathy","display_name":"Diabetic retinopathy","score":0.7019360065460205},{"id":"https://openalex.org/keywords/blindness","display_name":"Blindness","score":0.699067234992981},{"id":"https://openalex.org/keywords/exudate","display_name":"Exudate","score":0.6170762181282043},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.5328636169433594},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5109207034111023},{"id":"https://openalex.org/keywords/ophthalmology","display_name":"Ophthalmology","score":0.47867780923843384},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4616692364215851},{"id":"https://openalex.org/keywords/retinopathy","display_name":"Retinopathy","score":0.4531630575656891},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3982588052749634},{"id":"https://openalex.org/keywords/diabetes-mellitus","display_name":"Diabetes mellitus","score":0.39372074604034424},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3928351104259491},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3727700710296631},{"id":"https://openalex.org/keywords/optometry","display_name":"Optometry","score":0.3231669068336487},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.19747227430343628}],"concepts":[{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.7871213555335999},{"id":"https://openalex.org/C2779829184","wikidata":"https://www.wikidata.org/wiki/Q631361","display_name":"Diabetic retinopathy","level":3,"score":0.7019360065460205},{"id":"https://openalex.org/C2780929884","wikidata":"https://www.wikidata.org/wiki/Q737460","display_name":"Blindness","level":2,"score":0.699067234992981},{"id":"https://openalex.org/C2778573061","wikidata":"https://www.wikidata.org/wiki/Q1139400","display_name":"Exudate","level":2,"score":0.6170762181282043},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.5328636169433594},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5109207034111023},{"id":"https://openalex.org/C118487528","wikidata":"https://www.wikidata.org/wiki/Q161437","display_name":"Ophthalmology","level":1,"score":0.47867780923843384},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4616692364215851},{"id":"https://openalex.org/C2778313320","wikidata":"https://www.wikidata.org/wiki/Q550455","display_name":"Retinopathy","level":3,"score":0.4531630575656891},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3982588052749634},{"id":"https://openalex.org/C555293320","wikidata":"https://www.wikidata.org/wiki/Q12206","display_name":"Diabetes mellitus","level":2,"score":0.39372074604034424},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3928351104259491},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3727700710296631},{"id":"https://openalex.org/C119767625","wikidata":"https://www.wikidata.org/wiki/Q618211","display_name":"Optometry","level":1,"score":0.3231669068336487},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.19747227430343628},{"id":"https://openalex.org/C134018914","wikidata":"https://www.wikidata.org/wiki/Q162606","display_name":"Endocrinology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ssd49366.2020.9364139","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssd49366.2020.9364139","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 17th International Multi-Conference on Systems, Signals &amp; Devices (SSD)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1091878006","https://openalex.org/W1548953334","https://openalex.org/W1967397740","https://openalex.org/W1992728454","https://openalex.org/W2114605070","https://openalex.org/W2118246710","https://openalex.org/W2127322315","https://openalex.org/W2135431554","https://openalex.org/W2413649709","https://openalex.org/W2520503963","https://openalex.org/W2784716683","https://openalex.org/W2898936434","https://openalex.org/W2906258544","https://openalex.org/W2911964244","https://openalex.org/W2945245106","https://openalex.org/W2994537602"],"related_works":["https://openalex.org/W4237698013","https://openalex.org/W4249730947","https://openalex.org/W2401657978","https://openalex.org/W2042797887","https://openalex.org/W3046286921","https://openalex.org/W4388065772","https://openalex.org/W2184730658","https://openalex.org/W2005103005","https://openalex.org/W4220767796","https://openalex.org/W114689906"],"abstract_inverted_index":{"One":[0],"of":[1,4,19,40,44,78,102,130,141,146,158,174],"the":[2,10,17,20,31,38,41,45,50,72,76,84,87,100,103,117,128,143,147,155,159,162],"causes":[3],"blindness":[5,79],"among":[6],"working-age":[7],"adults":[8],"is":[9,24,49,69,80,151,176],"diabetic":[11,46],"retinopathy":[12,47],"(DR).":[13],"The":[14,52,139],"DR":[15,124],"raise":[16],"damage":[18],"retina":[21],"if":[22],"it":[23],"not":[25],"early":[26],"diagnosed":[27],"and":[28,64,86,115,161,166],"treated.":[29],"In":[30],"present":[32],"paper,":[33],"we":[34,108],"are":[35,89],"focusing":[36],"on":[37],"detection":[39],"primary":[42],"signs":[43],"which":[48],"exudate.":[51],"exudate":[53,118],"appeared":[54],"in":[55,110],"white":[56],"or":[57,98],"yellow":[58],"color":[59],"with":[60,127,164],"different":[61],"shapes,":[62],"sizes":[63],"positions.":[65],"More":[66],"its":[67],"position":[68,85],"close":[70],"to":[71,96,113,135],"optic":[73],"disk,":[74],"more":[75],"percentage":[77],"increased.":[81],"That's":[82],"why":[83],"size":[88],"two":[90],"important":[91],"information":[92],"for":[93],"an":[94],"ophthalmologist":[95],"distinguish":[97],"diagnose":[99],"severity":[101],"disease.":[104],"For":[105],"those":[106],"reasons,":[107],"aim":[109],"this":[111],"paper":[112],"detect":[114],"segment":[116,136],"using":[119],"Random":[120,132],"Forest":[121,133],"classifier.":[122],"A":[123],"database":[125],"used":[126],"application":[129],"a":[131],"classifier":[134],"these":[137],"regions.":[138],"impact":[140],"varying":[142],"main":[144],"parameter":[145],"random":[148],"forest":[149],"algorithm":[150],"studied.":[152],"We":[153],"achieved":[154],"highest":[156],"value":[157],"specificity":[160],"accuracy":[163],"99.5%":[165],"99.50%":[167],"respectively.":[168],"An":[169],"area":[170],"under":[171],"curve":[172],"(AUC)":[173],"0.952":[175],"obtained.":[177]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
