{"id":"https://openalex.org/W3210572913","doi":"https://doi.org/10.1109/icccnt51525.2021.9579901","title":"Classification of Diabetic Retinopathy from OCT Images using Deep Convolutional Neural Network with BiLSTM and SVM","display_name":"Classification of Diabetic Retinopathy from OCT Images using Deep Convolutional Neural Network with BiLSTM and SVM","publication_year":2021,"publication_date":"2021-07-06","ids":{"openalex":"https://openalex.org/W3210572913","doi":"https://doi.org/10.1109/icccnt51525.2021.9579901","mag":"3210572913"},"language":"en","primary_location":{"id":"doi:10.1109/icccnt51525.2021.9579901","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccnt51525.2021.9579901","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 12th International Conference on Computing Communication and Networking Technologies (ICCCNT)","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/A5040850639","display_name":"Md Ferdous Wahid","orcid":"https://orcid.org/0000-0002-2035-0345"},"institutions":[{"id":"https://openalex.org/I1307585291","display_name":"Khulna University of Engineering and Technology","ror":"https://ror.org/04y58d606","country_code":"BD","type":"education","lineage":["https://openalex.org/I1307585291"]}],"countries":["BD"],"is_corresponding":true,"raw_author_name":"Md. Ferdous Wahid","raw_affiliation_strings":["Khulna University of Engineering and Technology, Khulna, Bangladesh"],"affiliations":[{"raw_affiliation_string":"Khulna University of Engineering and Technology, Khulna, Bangladesh","institution_ids":["https://openalex.org/I1307585291"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020562078","display_name":"A. B. M. Aowlad Hossain","orcid":"https://orcid.org/0000-0002-2559-2781"},"institutions":[{"id":"https://openalex.org/I1307585291","display_name":"Khulna University of Engineering and Technology","ror":"https://ror.org/04y58d606","country_code":"BD","type":"education","lineage":["https://openalex.org/I1307585291"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"A. B. M. Aowlad Hossain","raw_affiliation_strings":["Khulna University of Engineering and Technology, Khulna, Bangladesh"],"affiliations":[{"raw_affiliation_string":"Khulna University of Engineering and Technology, Khulna, Bangladesh","institution_ids":["https://openalex.org/I1307585291"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5040850639"],"corresponding_institution_ids":["https://openalex.org/I1307585291"],"apc_list":null,"apc_paid":null,"fwci":0.8353,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.73519095,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"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":0.9911999702453613,"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/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9873999953269958,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.7830848097801208},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7772364616394043},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7216290235519409},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6891740560531616},{"id":"https://openalex.org/keywords/diabetic-retinopathy","display_name":"Diabetic retinopathy","score":0.6749863624572754},{"id":"https://openalex.org/keywords/optical-coherence-tomography","display_name":"Optical coherence tomography","score":0.6549128293991089},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6391459107398987},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5525453686714172},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5430102348327637},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.42909619212150574},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.27476149797439575},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.24819859862327576},{"id":"https://openalex.org/keywords/ophthalmology","display_name":"Ophthalmology","score":0.15287286043167114},{"id":"https://openalex.org/keywords/diabetes-mellitus","display_name":"Diabetes mellitus","score":0.09392008185386658}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7830848097801208},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7772364616394043},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7216290235519409},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6891740560531616},{"id":"https://openalex.org/C2779829184","wikidata":"https://www.wikidata.org/wiki/Q631361","display_name":"Diabetic retinopathy","level":3,"score":0.6749863624572754},{"id":"https://openalex.org/C2778818243","wikidata":"https://www.wikidata.org/wiki/Q899552","display_name":"Optical coherence tomography","level":2,"score":0.6549128293991089},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6391459107398987},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5525453686714172},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5430102348327637},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.42909619212150574},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.27476149797439575},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.24819859862327576},{"id":"https://openalex.org/C118487528","wikidata":"https://www.wikidata.org/wiki/Q161437","display_name":"Ophthalmology","level":1,"score":0.15287286043167114},{"id":"https://openalex.org/C555293320","wikidata":"https://www.wikidata.org/wiki/Q12206","display_name":"Diabetes mellitus","level":2,"score":0.09392008185386658},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C134018914","wikidata":"https://www.wikidata.org/wiki/Q162606","display_name":"Endocrinology","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icccnt51525.2021.9579901","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccnt51525.2021.9579901","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 12th International Conference on Computing Communication and Networking Technologies (ICCCNT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.4699999988079071,"display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1968776821","https://openalex.org/W1996459699","https://openalex.org/W2788633781","https://openalex.org/W2806801012","https://openalex.org/W2940525222","https://openalex.org/W2946303964","https://openalex.org/W2963446712","https://openalex.org/W2965325581","https://openalex.org/W2981269883","https://openalex.org/W3035812895","https://openalex.org/W3047587817","https://openalex.org/W3112051848","https://openalex.org/W3134341487","https://openalex.org/W3139320575","https://openalex.org/W4205450360","https://openalex.org/W4206964129","https://openalex.org/W4239510810","https://openalex.org/W6786476991","https://openalex.org/W6791782569"],"related_works":["https://openalex.org/W2952813363","https://openalex.org/W4378678253","https://openalex.org/W2911497689","https://openalex.org/W4360783045","https://openalex.org/W2770149305","https://openalex.org/W2972076240","https://openalex.org/W3167930666","https://openalex.org/W3014952856","https://openalex.org/W2964843961","https://openalex.org/W3010730661"],"abstract_inverted_index":{"Diabetic":[0],"retinopathy":[1,121],"(DR)":[2],"is":[3,35,48,95,115,132],"an":[4,12,162],"eye":[5],"disease":[6],"that,":[7],"if":[8],"not":[9],"diagnosed":[10],"at":[11],"early":[13,40],"stage,":[14],"can":[15],"cause":[16],"vision":[17],"loss":[18],"and":[19,42,50,56,80,106],"blindness":[20],"in":[21,25,38,155,171],"diabetic":[22,120,159],"patients.":[23],"Therefore,":[24],"the":[26,39,103,111,123,129,156],"field":[27],"of":[28,44,128,138,158,164],"ophthalmology,":[29],"optical":[30],"coherence":[31],"tomography":[32],"(OCT)":[33],"imaging":[34],"widely":[36],"used":[37,96],"diagnosis":[41],"treatment":[43],"DR.":[45],"However,":[46],"it":[47],"arduous":[49],"time":[51],"consuming":[52],"to":[53,118,173],"manually":[54],"classify":[55],"detect":[57],"DR":[58,87],"from":[59,89],"retinal":[60],"OCT":[61,90],"image.":[62,91],"In":[63],"this":[64,66],"context,":[65],"paper":[67],"proposed":[68,130,149],"a":[69],"deep":[70],"convolutional":[71],"neural":[72],"network":[73],"combined":[74],"with":[75,161],"Bidirectional":[76],"long-short":[77],"term":[78],"memory":[79],"support":[81],"vector":[82],"machine":[83],"(CNN-BiLSTM+SVM)":[84],"for":[85],"automatic":[86],"classification":[88,157],"Here,":[92],"CNN-BiLSTM":[93],"architecture":[94],"as":[97],"feature":[98],"extractor":[99],"where":[100],"CNN":[101],"extracts":[102],"local":[104],"features":[105],"BiLSTM":[107],"learns":[108],"correlation":[109],"among":[110],"extracted":[112,124],"features.":[113,125],"SVM":[114],"subsequently":[116],"trained":[117],"diagnose":[119],"using":[122],"The":[126,148],"effectiveness":[127],"model":[131,150],"assessed":[133],"on":[134],"blind":[135],"test":[136],"dataset":[137],"1000":[139],"images":[140],"(250":[141],"per":[142],"class)":[143],"labeled":[144],"into":[145],"four":[146],"classes.":[147],"has":[151],"attained":[152],"satisfactory":[153],"results":[154],"retinopathy,":[160],"accuracy":[163],"99.30%,":[165],"which":[166],"also":[167],"proves":[168],"its":[169],"competitiveness":[170],"comparison":[172],"other":[174],"existing":[175],"state-of-the-art.":[176]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2026-04-03T16:38:21.277918","created_date":"2025-10-10T00:00:00"}
