{"id":"https://openalex.org/W7204828867","doi":"https://doi.org/10.1109/icera72709.2026.11666655","title":"Retinal Vessel-Driven Deep Learning Framework for Glaucoma Classification Using Segmentation Method","display_name":"Retinal Vessel-Driven Deep Learning Framework for Glaucoma Classification Using Segmentation Method","publication_year":2026,"publication_date":"2026-07-01","ids":{"openalex":"https://openalex.org/W7204828867","doi":"https://doi.org/10.1109/icera72709.2026.11666655"},"language":"en","primary_location":{"id":"doi:10.1109/icera72709.2026.11666655","doi":"https://doi.org/10.1109/icera72709.2026.11666655","is_oa":true,"landing_page_url":"https://doi.org/10.1109/icera72709.2026.11666655","pdf_url":null,"source":{"id":"https://openalex.org/S7407087252","display_name":"International Conference on Electronics Representation and Algorithm (ICERA)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 5th International Conference on Electronics Representation and Algorithm (ICERA)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1109/icera72709.2026.11666655","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5048553247","display_name":"Sofia Saidah","orcid":"https://orcid.org/0009-0003-6684-9031","observed_orcids":["https://orcid.org/0009-0003-6684-9031"]},"institutions":[{"id":"https://openalex.org/I862893732","display_name":"Telkom University","ror":"https://ror.org/0004wsx81","country_code":"ID","type":"education","lineage":["https://openalex.org/I862893732"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Sofia Saidah","raw_affiliation_strings":["Telkom University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Telkom University","institution_ids":["https://openalex.org/I862893732"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024472245","display_name":"Achmad Rizal","orcid":"https://orcid.org/0000-0001-9712-965X","observed_orcids":["https://orcid.org/0000-0001-9712-965X"]},"institutions":[{"id":"https://openalex.org/I862893732","display_name":"Telkom University","ror":"https://ror.org/0004wsx81","country_code":"ID","type":"education","lineage":["https://openalex.org/I862893732"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Achmad Rizal","raw_affiliation_strings":["Telkom University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Telkom University","institution_ids":["https://openalex.org/I862893732"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040003632","display_name":"Inung Wijayanto","orcid":"https://orcid.org/0000-0003-1412-0428","observed_orcids":["https://orcid.org/0000-0003-1412-0428"]},"institutions":[{"id":"https://openalex.org/I862893732","display_name":"Telkom University","ror":"https://ror.org/0004wsx81","country_code":"ID","type":"education","lineage":["https://openalex.org/I862893732"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Inung Wijayanto","raw_affiliation_strings":["Telkom University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Telkom University","institution_ids":["https://openalex.org/I862893732"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041562877","display_name":"Raden Maula Rifada","orcid":"https://orcid.org/0000-0003-0298-7833","observed_orcids":["https://orcid.org/0000-0003-0298-7833"]},"institutions":[{"id":"https://openalex.org/I4405267151","display_name":"Pusat Mata Nasional Rumah Sakit Mata Cicendo","ror":"https://ror.org/01dmnaf35","country_code":"ID","type":"healthcare","lineage":["https://openalex.org/I4405267151"]},{"id":"https://openalex.org/I91819753","display_name":"Padjadjaran University","ror":"https://ror.org/00xqf8t64","country_code":"ID","type":"education","lineage":["https://openalex.org/I91819753"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Maula Rifada","raw_affiliation_strings":["Padjadjaran University, Cicendo Eye Hospital"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Padjadjaran University, Cicendo Eye Hospital","institution_ids":["https://openalex.org/I4405267151","https://openalex.org/I91819753"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"41","last_page":"46"},"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":9.999999747378752e-05,"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/T14384","display_name":"Ophthalmology and Visual Health Research","score":0.0,"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/glaucoma-detection","display_name":"glaucoma detection","score":0.8889999985694885},{"id":"https://openalex.org/keywords/color-fundus-images","display_name":"color fundus images","score":0.8970000147819519},{"id":"https://openalex.org/keywords/transfer-learning","display_name":"transfer learning","score":0.6899999976158142},{"id":"https://openalex.org/keywords/efficientnet-b0","display_name":"EfficientNetB0","score":0.8740000128746033},{"id":"https://openalex.org/keywords/resnet-50","display_name":"ResNet50","score":0.8259999752044678},{"id":"https://openalex.org/keywords/mobilenetv3","display_name":"MobileNetV3","score":0.8889999985694885},{"id":"https://openalex.org/keywords/grad-cam","display_name":"Grad-CAM","score":0.9200000166893005},{"id":"https://openalex.org/keywords/explainable-ai","display_name":"explainable AI","score":0.5559999942779541},{"id":"https://openalex.org/keywords/glaucoma-screening","display_name":"glaucoma screening","score":0.7789999842643738}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7533000111579895},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6931999921798706},{"id":"https://openalex.org/C2778527774","wikidata":"https://www.wikidata.org/wiki/Q159701","display_name":"Glaucoma","level":2,"score":0.6184999942779541},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5843999981880188},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5346999764442444},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4819999933242798},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44179999828338623},{"id":"https://openalex.org/C2780827179","wikidata":"https://www.wikidata.org/wiki/Q422001","display_name":"Retinal","level":2,"score":0.37389999628067017},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.36489999294281006},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.2962000072002411},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.2768999934196472},{"id":"https://openalex.org/C2779503344","wikidata":"https://www.wikidata.org/wiki/Q5973514","display_name":"IRIS (biosensor)","level":3,"score":0.2711000144481659},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.26750001311302185},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.2597000002861023}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icera72709.2026.11666655","doi":"https://doi.org/10.1109/icera72709.2026.11666655","is_oa":true,"landing_page_url":"https://doi.org/10.1109/icera72709.2026.11666655","pdf_url":null,"source":{"id":"https://openalex.org/S7407087252","display_name":"International Conference on Electronics Representation and Algorithm (ICERA)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 5th International Conference on Electronics Representation and Algorithm (ICERA)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1109/icera72709.2026.11666655","doi":"https://doi.org/10.1109/icera72709.2026.11666655","is_oa":true,"landing_page_url":"https://doi.org/10.1109/icera72709.2026.11666655","pdf_url":null,"source":{"id":"https://openalex.org/S7407087252","display_name":"International Conference on Electronics Representation and Algorithm (ICERA)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 5th International Conference on Electronics Representation and Algorithm (ICERA)","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.6240000128746033,"display_name":"Good health and well-being"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W73143569","https://openalex.org/W2034786340","https://openalex.org/W2100756624","https://openalex.org/W2152040166","https://openalex.org/W2734595418","https://openalex.org/W2809924268","https://openalex.org/W2899966493","https://openalex.org/W2990655933","https://openalex.org/W3044967692","https://openalex.org/W3141702517","https://openalex.org/W3203886254","https://openalex.org/W4214668041","https://openalex.org/W4220819800","https://openalex.org/W4285393991","https://openalex.org/W4289844305","https://openalex.org/W4362658374","https://openalex.org/W4380445884","https://openalex.org/W4387066361","https://openalex.org/W4387972858","https://openalex.org/W4388813895","https://openalex.org/W4388819240","https://openalex.org/W4389849227","https://openalex.org/W4401090700","https://openalex.org/W4410892996","https://openalex.org/W4413930246","https://openalex.org/W7164754221"],"related_works":["https://openalex.org/W7165639559","https://openalex.org/W7203472476","https://openalex.org/W7172401011","https://openalex.org/W4388738500","https://openalex.org/W4408448758","https://openalex.org/W3199487154","https://openalex.org/W2742428161","https://openalex.org/W1526664225","https://openalex.org/W2992569487","https://openalex.org/W7213301073"],"abstract_inverted_index":{"Structural":[0],"and":[1,16,66,73,88,96,118,129,143,145,165,200],"geometric":[2],"changes":[3],"in":[4,169],"the":[5,63,173,177],"retinal":[6,35,79,163],"vasculature":[7],"are":[8,69,83],"increasingly":[9],"recognized":[10],"as":[11,90],"important":[12],"biomarkers":[13],"for":[14,45,100,198],"detecting":[15],"monitoring":[17],"glaucoma,":[18],"yet":[19],"most":[20],"deep":[21,42],"learning":[22,43,192],"approaches":[23],"still":[24],"rely":[25],"on":[26,50,136,153],"full-fundus":[27],"or":[28],"disc-centric":[29],"representations":[30,187],"rather":[31],"than":[32],"explicitly":[33],"modeling":[34],"vessels.":[36],"This":[37],"study":[38],"proposes":[39],"a":[40,195],"vessel-based":[41,154],"framework":[44],"glaucoma":[46,202],"detection":[47],"that":[48,157,184],"operates":[49],"binary":[51,101],"vessel":[52,80],"maps":[53],"derived":[54],"from":[55,62],"color":[56],"fundus":[57,60,186],"images.":[58],"Green-channel":[59],"images":[61],"public":[64],"FIVES":[65],"RIM-ONE":[67,137],"datasets":[68],"preprocessed":[70],"using":[71,113],"CLAHE":[72],"heuristic":[74],"global":[75],"thresholding":[76],"to":[77,85,92,133,149],"obtain":[78],"masks,":[81],"which":[82],"replicated":[84],"three":[86],"channels":[87],"used":[89],"inputs":[91,155],"ImageNet-pretrain":[93],"EfficientNet-B0,":[94],"ResNet50,":[95],"MobileNetV3-Small":[97],"models":[98],"fine-tuned":[99],"(glaucoma":[102],"vs.":[103],"normal)":[104],"classification.":[105],"Performance":[106],"is":[107],"evaluated":[108],"with":[109,189],"stratified":[110],"5-fold":[111],"cross-validation":[112],"accuracy,":[114],"sensitivity,":[115],"specificity,":[116],"F1-score,":[117],"AUC.":[119],"On":[120],"FIVES,":[121],"all":[122],"backbones":[123],"achieve":[124],"accuracy":[125],"0.925,":[126],"F1-score":[127],"0.9302,":[128],"AUC":[130,146],"values":[131,147],"up":[132,148],"0.9831,":[134],"while":[135],"they":[138],"reach":[139],"accuracies":[140],"between":[141],"0.8235":[142],"0.8676":[144],"0.9463.":[150],"Grad-CAM":[151],"visualizations":[152],"show":[156],"high-activation":[158],"regions":[159],"concentrate":[160],"along":[161],"major":[162],"vessels":[164],"altered":[166],"vascular":[167],"patterns":[168],"glaucomatous":[170],"eyes,":[171],"supporting":[172],"clinical":[174],"plausibility":[175],"of":[176],"learned":[178],"decision":[179],"behavior.":[180],"These":[181],"results":[182],"indicate":[183],"vessel-centric":[185],"combined":[188],"modern":[190],"transfer":[191],"architectures":[193],"provide":[194],"promising":[196],"basis":[197],"accurate":[199],"explainable":[201],"screening.":[203]},"counts_by_year":[],"updated_date":"2026-11-08T12:12:28.789561","created_date":"2026-09-01T00:00:00"}