{"id":"https://openalex.org/W3093561135","doi":"https://doi.org/10.1109/iscc50000.2020.9219708","title":"A Capsule Network-based for identification of Glaucoma in retinal images","display_name":"A Capsule Network-based for identification of Glaucoma in retinal images","publication_year":2020,"publication_date":"2020-07-01","ids":{"openalex":"https://openalex.org/W3093561135","doi":"https://doi.org/10.1109/iscc50000.2020.9219708","mag":"3093561135"},"language":"en","primary_location":{"id":"doi:10.1109/iscc50000.2020.9219708","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscc50000.2020.9219708","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE Symposium on Computers and Communications (ISCC)","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/A5023500905","display_name":"Patrick Ryan Sales dos Santos","orcid":"https://orcid.org/0009-0007-6398-8422"},"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":"Patrick Ryan Sales dos Santos","raw_affiliation_strings":["Federal University of Piau\u00ed, Picos, Brazil"],"affiliations":[{"raw_affiliation_string":"Federal University of Piau\u00ed, Picos, Brazil","institution_ids":["https://openalex.org/I3121799822"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039097470","display_name":"Vit\u00f3ria de Carvalho Brito","orcid":"https://orcid.org/0009-0008-7410-2292"},"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":"Vitoria de Carvalho Brito","raw_affiliation_strings":["Federal University of Piau\u00ed, Picos, Brazil"],"affiliations":[{"raw_affiliation_string":"Federal University of Piau\u00ed, Picos, Brazil","institution_ids":["https://openalex.org/I3121799822"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001742603","display_name":"Ant\u00f4nio Oseas de Carvalho Filho","orcid":"https://orcid.org/0000-0001-9241-1277"},"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":"Antonio Oseas de Carvalho Filho","raw_affiliation_strings":["Federal University of Piau\u00ed, Picos, Brazil"],"affiliations":[{"raw_affiliation_string":"Federal University of Piau\u00ed, Picos, Brazil","institution_ids":["https://openalex.org/I3121799822"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072240451","display_name":"Fl\u00e1vio H. D. Ara\u00fajo","orcid":"https://orcid.org/0000-0003-2824-2645"},"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":"Flavio Henrique Duarte de Araujo","raw_affiliation_strings":["Federal University of Piau\u00ed, Picos, Brazil"],"affiliations":[{"raw_affiliation_string":"Federal University of Piau\u00ed, Picos, Brazil","institution_ids":["https://openalex.org/I3121799822"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061370797","display_name":"Ricardo A. L. Rab\u00ealo","orcid":"https://orcid.org/0000-0003-1482-6404"},"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":"Ricardo de Andrade Lira Rabelo","raw_affiliation_strings":["Federal University of Piau\u00ed, Teresina, Brazil"],"affiliations":[{"raw_affiliation_string":"Federal University of Piau\u00ed, Teresina, Brazil","institution_ids":["https://openalex.org/I3121799822"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000420932","display_name":"Mano Joseph Mathew","orcid":"https://orcid.org/0000-0002-4930-6903"},"institutions":[{"id":"https://openalex.org/I2801479458","display_name":"Engineering School of Information and Digital Technologies","ror":"https://ror.org/01h7hvj14","country_code":"FR","type":"education","lineage":["https://openalex.org/I117841876","https://openalex.org/I2801479458"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Mano Joseph Mathew","raw_affiliation_strings":["\u00c9cole d\u2019ing\u00e9nieur g\u00e9n\u00e9raliste en informatique et technologies du num\u00e9rique, Paris, France","\u00c9cole d'ing\u00e9nieur g\u00e9n\u00e9raliste en informatique et technologies du num\u00e9rique, Paris, France"],"affiliations":[{"raw_affiliation_string":"\u00c9cole d\u2019ing\u00e9nieur g\u00e9n\u00e9raliste en informatique et technologies du num\u00e9rique, Paris, France","institution_ids":["https://openalex.org/I2801479458"]},{"raw_affiliation_string":"\u00c9cole d'ing\u00e9nieur g\u00e9n\u00e9raliste en informatique et technologies du num\u00e9rique, Paris, France","institution_ids":["https://openalex.org/I2801479458"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5023500905"],"corresponding_institution_ids":["https://openalex.org/I3121799822"],"apc_list":null,"apc_paid":null,"fwci":0.7709,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.75869901,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"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/T10250","display_name":"Glaucoma and retinal disorders","score":0.9972000122070312,"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":0.9972000122070312,"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/computer-science","display_name":"Computer science","score":0.7651444673538208},{"id":"https://openalex.org/keywords/glaucoma","display_name":"Glaucoma","score":0.7264779210090637},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.701170802116394},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6386915445327759},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.506428599357605},{"id":"https://openalex.org/keywords/f1-score","display_name":"F1 score","score":0.5009064674377441},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.5004768371582031},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.49553215503692627},{"id":"https://openalex.org/keywords/blindness","display_name":"Blindness","score":0.49249157309532166},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.461281955242157},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4598252773284912},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.45915287733078003},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.4430866539478302},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.44306474924087524},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4183160662651062},{"id":"https://openalex.org/keywords/optometry","display_name":"Optometry","score":0.24309122562408447},{"id":"https://openalex.org/keywords/ophthalmology","display_name":"Ophthalmology","score":0.13770925998687744},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.10426482558250427},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.06975579261779785}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7651444673538208},{"id":"https://openalex.org/C2778527774","wikidata":"https://www.wikidata.org/wiki/Q159701","display_name":"Glaucoma","level":2,"score":0.7264779210090637},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.701170802116394},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6386915445327759},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.506428599357605},{"id":"https://openalex.org/C148524875","wikidata":"https://www.wikidata.org/wiki/Q6975395","display_name":"F1 score","level":2,"score":0.5009064674377441},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.5004768371582031},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.49553215503692627},{"id":"https://openalex.org/C2780929884","wikidata":"https://www.wikidata.org/wiki/Q737460","display_name":"Blindness","level":2,"score":0.49249157309532166},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.461281955242157},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4598252773284912},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.45915287733078003},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.4430866539478302},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.44306474924087524},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4183160662651062},{"id":"https://openalex.org/C119767625","wikidata":"https://www.wikidata.org/wiki/Q618211","display_name":"Optometry","level":1,"score":0.24309122562408447},{"id":"https://openalex.org/C118487528","wikidata":"https://www.wikidata.org/wiki/Q161437","display_name":"Ophthalmology","level":1,"score":0.13770925998687744},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.10426482558250427},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.06975579261779785},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/iscc50000.2020.9219708","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscc50000.2020.9219708","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE Symposium on Computers and Communications (ISCC)","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-04014006v1","is_oa":false,"landing_page_url":"https://hal.science/hal-04014006","pdf_url":null,"source":{"id":"https://openalex.org/S4406922461","display_name":"SPIRE - Sciences Po Institutional REpository","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2020 IEEE Symposium on Computers and Communications (ISCC), Jul 2020, Rennes, France. pp.1-6, ⟨10.1109/ISCC50000.2020.9219708⟩","raw_type":"Conference papers"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1667265675","https://openalex.org/W1686810756","https://openalex.org/W1997259062","https://openalex.org/W2015159529","https://openalex.org/W2095405787","https://openalex.org/W2108598243","https://openalex.org/W2121934633","https://openalex.org/W2164777277","https://openalex.org/W2194775991","https://openalex.org/W2885628409","https://openalex.org/W2917093036","https://openalex.org/W2961826282","https://openalex.org/W2962784425","https://openalex.org/W2963384288","https://openalex.org/W2963446712","https://openalex.org/W2963703618","https://openalex.org/W2976711440","https://openalex.org/W2979791421","https://openalex.org/W3006223331","https://openalex.org/W3009029478","https://openalex.org/W3103891644","https://openalex.org/W4287866253","https://openalex.org/W6637206897","https://openalex.org/W6637373629","https://openalex.org/W6687483927","https://openalex.org/W6743446608","https://openalex.org/W6774270263"],"related_works":["https://openalex.org/W4387490204","https://openalex.org/W4389848424","https://openalex.org/W4388937883","https://openalex.org/W4386414453","https://openalex.org/W4293205612","https://openalex.org/W4352976590","https://openalex.org/W4396766753","https://openalex.org/W4401011972","https://openalex.org/W4385349203","https://openalex.org/W4297839701"],"abstract_inverted_index":{"Glaucoma":[0],"is":[1,27,154],"an":[2],"eye":[3],"disease":[4,22],"responsible":[5],"for":[6,70],"the":[7,15,50,61,87,111,121,127,155,164,173,176,183,186,190,193,197],"second":[8],"most":[9],"common":[10],"cause":[11,34],"of":[12,36,52,73,82,113,151,175,185,199,203],"blindness":[13],"in":[14,23,49,123,188,196],"world.":[16],"The":[17,148],"need":[18,165],"to":[19,46,56,60,93,106,120,125,166,169],"detect":[20],"this":[21,39,64],"its":[24],"early":[25],"stages":[26],"notorious,":[28],"considering":[29],"that":[30,85,97,157],"late":[31],"treatment":[32],"can":[33],"loss":[35],"vision.":[37],"In":[38,63],"context,":[40],"computational":[41],"methods":[42],"are":[43],"being":[44],"developed":[45],"assist":[47],"specialists":[48],"task":[51],"analyzing":[53],"ocular":[54],"images":[55],"provide":[57],"greater":[58],"precision":[59],"diagnosis.":[62],"paper,":[65],"we":[66,115,158],"present":[67],"a":[68,79,117,200],"methodology":[69],"automatic":[71],"classification":[72],"glaucoma":[74],"using":[75],"Capsule":[76],"Network":[77],"(CapsNet),":[78],"recent":[80],"model":[81],"deep":[83],"learning":[84],"analyzes":[86],"hierarchical":[88],"spatial":[89],"relationships":[90,191],"between":[91,192],"characteristics":[92],"represent":[94],"images,":[95,122],"so":[96],"it":[98],"requires":[99],"fewer":[100],"training":[101],"samples":[102],"than":[103],"traditional":[104],"CNNs":[105],"achieve":[107],"efficient":[108],"classification.":[109],"Before":[110],"execution":[112],"CapsNet,":[114],"applied":[116],"pre-processing":[118],"step":[119],"order":[124],"highlight":[126],"characteristics.":[128],"Our":[129],"results":[130,162],"were":[131],"promising,":[132],"with":[133],"90.90%":[134],"accuracy,":[135],"86.88%":[136],"recall,":[137],"94.64%":[138],"precision,":[139],"90.59%":[140],"f1-score,":[141],"0.904":[142],"AUC":[143],"and":[144,171],"0.801":[145],"kappa":[146],"index.":[147],"main":[149],"contribution":[150],"our":[152,180],"method":[153],"fact":[156],"have":[159],"achieved":[160],"promising":[161],"without":[163],"apply":[167],"data":[168],"increase":[170],"segment":[172],"region":[174],"optical":[177],"disc.":[178],"Thus,":[179],"study":[181],"showed":[182],"potential":[184],"capsules":[187],"identifying":[189],"characteristics,":[194],"even":[195],"face":[198],"reduced":[201],"set":[202],"training.":[204]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}