{"id":"https://openalex.org/W7202081480","doi":"https://doi.org/10.1049/icp.2026.2555","title":"GlaucoNet: a convolutional neural network for enhancing glaucoma disease classification using optical coherence tomography images at early stage","display_name":"GlaucoNet: a convolutional neural network for enhancing glaucoma disease classification using optical coherence tomography images at early stage","publication_year":2026,"publication_date":"2026-08-01","ids":{"openalex":"https://openalex.org/W7202081480","doi":"https://doi.org/10.1049/icp.2026.2555"},"language":"en","primary_location":{"id":"doi:10.1049/icp.2026.2555","doi":"https://doi.org/10.1049/icp.2026.2555","is_oa":false,"landing_page_url":"https://doi.org/10.1049/icp.2026.2555","pdf_url":null,"source":{"id":"https://openalex.org/S4404663355","display_name":"IET conference proceedings.","issn_l":"2732-4494","issn":["2732-4494"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["jufo-1"],"host_organization":"https://openalex.org/P4310311714","host_organization_name":"Institution of Engineering and Technology","host_organization_lineage":["https://openalex.org/P4310311714"],"host_organization_lineage_names":["Institution of Engineering and Technology"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IET Conference Proceedings","raw_type":"journal-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5146720215","display_name":"Md. Abu Towsif","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I103434671","display_name":"American International University-Bangladesh","ror":"https://ror.org/02j8ga255","country_code":"BD","type":"education","lineage":["https://openalex.org/I103434671"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Md. Abu Towsif","raw_affiliation_strings":["Department of Computer Science, American International University-Bangladesh (AIUB)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, American International University-Bangladesh (AIUB)","institution_ids":["https://openalex.org/I103434671"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5146890824","display_name":"Farjana Yesmin Opi","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I103434671","display_name":"American International University-Bangladesh","ror":"https://ror.org/02j8ga255","country_code":"BD","type":"education","lineage":["https://openalex.org/I103434671"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Farjana Yesmin Opi","raw_affiliation_strings":["Department of Computer Science, American International University-Bangladesh (AIUB)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, American International University-Bangladesh (AIUB)","institution_ids":["https://openalex.org/I103434671"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111103246","display_name":"Md Sadi Al Huda","orcid":"https://orcid.org/0009-0007-3023-8457","observed_orcids":["https://orcid.org/0009-0007-3023-8457"]},"institutions":[{"id":"https://openalex.org/I4405260256","display_name":"Khwaja Yunus Ali University","ror":"https://ror.org/03fyk4w54","country_code":"BD","type":"education","lineage":["https://openalex.org/I4405260256"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Md Sadi Al Huda","raw_affiliation_strings":["Department of Computer Science & Engineering, Khwaja Yunus Ali University, Enayetpur, Chouhali, Sirajganj - 6751, Bangladesh"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science & Engineering, Khwaja Yunus Ali University, Enayetpur, Chouhali, Sirajganj - 6751, Bangladesh","institution_ids":["https://openalex.org/I4405260256"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056562573","display_name":"Md. Tarequl Islam","orcid":"https://orcid.org/0000-0001-8076-2379","observed_orcids":["https://orcid.org/0000-0001-8076-2379"]},"institutions":[{"id":"https://openalex.org/I4405260256","display_name":"Khwaja Yunus Ali University","ror":"https://ror.org/03fyk4w54","country_code":"BD","type":"education","lineage":["https://openalex.org/I4405260256"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Md. Tarequl Islam","raw_affiliation_strings":["Department of Computer Science & Engineering, Khwaja Yunus Ali University, Enayetpur, Chouhali, Sirajganj - 6751, Bangladesh"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science & Engineering, Khwaja Yunus Ali University, Enayetpur, Chouhali, Sirajganj - 6751, Bangladesh","institution_ids":["https://openalex.org/I4405260256"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003280433","display_name":"Md. Asraf Ali","orcid":"https://orcid.org/0000-0002-4732-5529","observed_orcids":["https://orcid.org/0000-0002-4732-5529"]},"institutions":[{"id":"https://openalex.org/I103434671","display_name":"American International University-Bangladesh","ror":"https://ror.org/02j8ga255","country_code":"BD","type":"education","lineage":["https://openalex.org/I103434671"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Md. Asraf Ali","raw_affiliation_strings":["Department of Computer Science, American International University-Bangladesh (AIUB)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, American International University-Bangladesh (AIUB)","institution_ids":["https://openalex.org/I103434671"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084885216","display_name":"Syamimi Mardiah Shaharum","orcid":"https://orcid.org/0009-0002-9214-8936","observed_orcids":["https://orcid.org/0009-0002-9214-8936"]},"institutions":[{"id":"https://openalex.org/I102913810","display_name":"Universiti Malaysia Pahang Al-Sultan Abdullah","ror":"https://ror.org/01704wp68","country_code":"MY","type":"education","lineage":["https://openalex.org/I102913810"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Syamimi Mardiah Shaharum","raw_affiliation_strings":["Faculty of Electrical and Electronics Engineering Technology, Universiti Malaysia Pahang Al-Sultan Abdullah, 26000 Pekan, Malaysia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Electrical and Electronics Engineering Technology, Universiti Malaysia Pahang Al-Sultan Abdullah, 26000 Pekan, Malaysia","institution_ids":["https://openalex.org/I102913810"]}]}],"institutions":[],"countries_distinct_count":2,"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":"2025","issue":"63","first_page":"739","last_page":"744"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11438","display_name":"Retinal Imaging and Analysis","score":0.9814000129699707,"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":0.9814000129699707,"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":0.012000000104308128,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.000699999975040555,"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/glaucoma-detection","display_name":"glaucoma detection","score":0.8199999928474426},{"id":"https://openalex.org/keywords/optical-coherence-tomography","display_name":"optical coherence tomography","score":0.906000018119812},{"id":"https://openalex.org/keywords/convolutional-neural-networks","display_name":"convolutional neural networks","score":0.925000011920929},{"id":"https://openalex.org/keywords/automated-disease-classification","display_name":"automated disease classification","score":0.8330000042915344},{"id":"https://openalex.org/keywords/early-glaucoma","display_name":"early glaucoma","score":0.7089999914169312},{"id":"https://openalex.org/keywords/image-enhancement","display_name":"image enhancement","score":0.6579999923706055},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"noise reduction","score":0.9860000014305115},{"id":"https://openalex.org/keywords/edge-deployment","display_name":"edge deployment","score":0.6600000262260437}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.78329998254776},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7745000123977661},{"id":"https://openalex.org/C2778527774","wikidata":"https://www.wikidata.org/wiki/Q159701","display_name":"Glaucoma","level":2,"score":0.7610999941825867},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7102000117301941},{"id":"https://openalex.org/C2778818243","wikidata":"https://www.wikidata.org/wiki/Q899552","display_name":"Optical coherence tomography","level":2,"score":0.7096999883651733},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.6072999835014343},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.52920001745224},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.4952000081539154},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.44679999351501465},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.396699994802475},{"id":"https://openalex.org/C188441871","wikidata":"https://www.wikidata.org/wiki/Q7554146","display_name":"Softmax function","level":3,"score":0.3953999876976013},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.336899995803833},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.33329999446868896},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.3255000114440918},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.32440000772476196},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.31850001215934753},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.3140999972820282},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3093000054359436},{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.30079999566078186},{"id":"https://openalex.org/C10551718","wikidata":"https://www.wikidata.org/wiki/Q5227332","display_name":"Data pre-processing","level":2,"score":0.28859999775886536},{"id":"https://openalex.org/C2780929884","wikidata":"https://www.wikidata.org/wiki/Q737460","display_name":"Blindness","level":2,"score":0.2773999869823456},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.2766999900341034}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1049/icp.2026.2555","doi":"https://doi.org/10.1049/icp.2026.2555","is_oa":false,"landing_page_url":"https://doi.org/10.1049/icp.2026.2555","pdf_url":null,"source":{"id":"https://openalex.org/S4404663355","display_name":"IET conference proceedings.","issn_l":"2732-4494","issn":["2732-4494"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["jufo-1"],"host_organization":"https://openalex.org/P4310311714","host_organization_name":"Institution of Engineering and Technology","host_organization_lineage":["https://openalex.org/P4310311714"],"host_organization_lineage_names":["Institution of Engineering and Technology"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IET Conference Proceedings","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.9391000270843506,"display_name":"Good health and well-being"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W7217241575","https://openalex.org/W7220696863","https://openalex.org/W4389781505","https://openalex.org/W7212187675","https://openalex.org/W4388937139","https://openalex.org/W4294691628","https://openalex.org/W4389544944","https://openalex.org/W4404295095","https://openalex.org/W7137915094","https://openalex.org/W4407627636"],"abstract_inverted_index":{"Glaucoma":[0],"is":[1],"a":[2,19,88],"leading":[3],"cause":[4],"of":[5,43,85,90,93,96,100,135],"irreversible":[6],"blindness":[7],"worldwide,":[8],"necessitating":[9],"early":[10],"classification":[11],"for":[12,25,55,105,124],"effective":[13],"management.":[14],"This":[15],"study":[16],"proposes":[17],"GlaucoNet,":[18],"convolutional":[20],"neural":[21],"network":[22],"(CNN)-based":[23],"framework":[24],"automated":[26],"glaucoma":[27,58,107],"detection":[28,108],"using":[29],"optical":[30],"coherence":[31],"tomography":[32],"(OCT)":[33],"images.":[34],"Our":[35],"proposed":[36,61],"model":[37,114],"aims":[38],"to":[39,76,117],"overcome":[40],"the":[41,113,133],"limitations":[42],"traditional":[44],"diagnostic":[45],"methods":[46],"by":[47],"providing":[48],"an":[49,83],"efficient,":[50,120],"scalable,":[51],"and":[52,74,98,128],"accurate":[53],"solution":[54],"classifying":[56],"advanced":[57],"cases.":[59],"The":[60],"CNN":[62],"architecture":[63],"(GlaucoNet)":[64],"incorporates":[65],"preprocessing":[66],"techniques":[67],"such":[68],"as":[69],"image":[70],"enhancement,":[71],"noise":[72],"reduction,":[73],"normalization":[75],"improve":[77],"input":[78],"data":[79],"quality.":[80],"GlaucoNet":[81],"achieved":[82],"accuracy":[84],"97.64%,":[86],"with":[87],"precision":[89],"1.0000,":[91],"recall":[92],"0.9545,":[94],"F1-score":[95],"0.9767,":[97],"AUC-ROC":[99],"0.9967,":[101],"demonstrating":[102],"its":[103],"potential":[104],"reliable":[106],"in":[109,138],"clinical":[110],"settings.":[111],"Furthermore,":[112],"was":[115],"designed":[116],"be":[118],"computationally":[119],"making":[121],"it":[122],"suitable":[123],"deployment":[125],"on":[126],"mobile":[127],"edge":[129],"devices,":[130],"thus":[131],"addressing":[132],"challenges":[134],"limited":[136],"resources":[137],"remote":[139],"areas.":[140]},"counts_by_year":[],"updated_date":"2026-11-10T11:39:43.021295","created_date":"2026-08-10T00:00:00"}
