{"id":"https://openalex.org/W4206111503","doi":"https://doi.org/10.1109/icsai53574.2021.9664179","title":"Comparison of Deep Learning Models on Detection and Classification of Diabetic Retinopathy","display_name":"Comparison of Deep Learning Models on Detection and Classification of Diabetic Retinopathy","publication_year":2021,"publication_date":"2021-11-13","ids":{"openalex":"https://openalex.org/W4206111503","doi":"https://doi.org/10.1109/icsai53574.2021.9664179"},"language":"en","primary_location":{"id":"doi:10.1109/icsai53574.2021.9664179","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsai53574.2021.9664179","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 7th International Conference on Systems and Informatics (ICSAI)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5101787866","display_name":"Juan Cao","orcid":"https://orcid.org/0000-0002-0359-2385"},"institutions":[{"id":"https://openalex.org/I63371133","display_name":"Chongqing Jiaotong University","ror":"https://ror.org/01t001k65","country_code":"CN","type":"education","lineage":["https://openalex.org/I63371133"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Juan Cao","raw_affiliation_strings":["School of information Science and Engineering, Chongqing Jiaotong University,Chongqing,China,400074"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of information Science and Engineering, Chongqing Jiaotong University,Chongqing,China,400074","institution_ids":["https://openalex.org/I63371133"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026306583","display_name":"Jiaran Chen","orcid":"https://orcid.org/0000-0001-7846-8568"},"institutions":[{"id":"https://openalex.org/I63371133","display_name":"Chongqing Jiaotong University","ror":"https://ror.org/01t001k65","country_code":"CN","type":"education","lineage":["https://openalex.org/I63371133"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiaran Chen","raw_affiliation_strings":["School of information Science and Engineering, Chongqing Jiaotong University,Chongqing,China,400074"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of information Science and Engineering, Chongqing Jiaotong University,Chongqing,China,400074","institution_ids":["https://openalex.org/I63371133"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I63371133"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.28206765,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"41","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/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9884999990463257,"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"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9848999977111816,"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/diabetic-retinopathy","display_name":"Diabetic retinopathy","score":0.7995487451553345},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7432644367218018},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6629383563995361},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6333489418029785},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6230799555778503},{"id":"https://openalex.org/keywords/blindness","display_name":"Blindness","score":0.6168492436408997},{"id":"https://openalex.org/keywords/retinopathy","display_name":"Retinopathy","score":0.608838677406311},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44652676582336426},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.444854199886322},{"id":"https://openalex.org/keywords/diabetes-mellitus","display_name":"Diabetes mellitus","score":0.3416069746017456},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.20038431882858276},{"id":"https://openalex.org/keywords/optometry","display_name":"Optometry","score":0.15807634592056274}],"concepts":[{"id":"https://openalex.org/C2779829184","wikidata":"https://www.wikidata.org/wiki/Q631361","display_name":"Diabetic retinopathy","level":3,"score":0.7995487451553345},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7432644367218018},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6629383563995361},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6333489418029785},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6230799555778503},{"id":"https://openalex.org/C2780929884","wikidata":"https://www.wikidata.org/wiki/Q737460","display_name":"Blindness","level":2,"score":0.6168492436408997},{"id":"https://openalex.org/C2778313320","wikidata":"https://www.wikidata.org/wiki/Q550455","display_name":"Retinopathy","level":3,"score":0.608838677406311},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44652676582336426},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.444854199886322},{"id":"https://openalex.org/C555293320","wikidata":"https://www.wikidata.org/wiki/Q12206","display_name":"Diabetes mellitus","level":2,"score":0.3416069746017456},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.20038431882858276},{"id":"https://openalex.org/C119767625","wikidata":"https://www.wikidata.org/wiki/Q618211","display_name":"Optometry","level":1,"score":0.15807634592056274},{"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/icsai53574.2021.9664179","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsai53574.2021.9664179","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 7th International Conference on Systems and Informatics (ICSAI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5216175105","display_name":null,"funder_award_id":"cstc2018jszx-cyztzx0092","funder_id":"https://openalex.org/F4320321550","funder_display_name":"Chongqing Science and Technology Commission"},{"id":"https://openalex.org/G8258028198","display_name":null,"funder_award_id":"6210023236","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321550","display_name":"Chongqing Science and Technology Commission","ror":"https://ror.org/05w9erc61"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W2097117768","https://openalex.org/W2112796928","https://openalex.org/W2163605009","https://openalex.org/W2194775991","https://openalex.org/W3118858973","https://openalex.org/W4403243204","https://openalex.org/W4403601109","https://openalex.org/W6788206130"],"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":{"Diabetic":[0],"retinopathy":[1,72,102],"is":[2,9,112],"a":[3,120,129],"common":[4],"complication":[5],"to":[6,63],"diabetes,":[7],"also":[8,39],"the":[10,14,34,67,80,99,109,134,142,148],"main":[11],"cause":[12],"of":[13,20,36,70,101,106,123,138,144],"current":[15],"diabetic":[16,71],"blindness.":[17],"Traditional":[18],"methods":[19],"manually":[21],"classifying":[22],"retinal":[23,139],"pathological":[24],"images":[25],"have":[26],"difficulty":[27],"in":[28,33,41,147],"feature":[29],"extraction,":[30],"and":[31,58,65,83,136,141],"differences":[32],"level":[35],"medical":[37],"personnel":[38],"result":[40],"low":[42,121],"classification":[43,69,143],"efficiency.":[44],"In":[45],"this":[46],"paper,":[47],"four":[48],"deep":[49],"learning":[50],"network":[51],"models":[52],"based":[53],"on":[54],"LeNet,":[55],"AlexNet,":[56],"GoogLeNet":[57],"Res-Net":[59],"50":[60,95],"are":[61],"used":[62],"compare":[64],"study":[66],"automatic":[68],"images.":[73],"The":[74,89],"experimental":[75,90],"data":[76,81,84],"set":[77],"comes":[78],"from":[79],"modeling":[82],"analysis":[85],"competition":[86],"platform":[87],"(Kaggle).":[88],"results":[91],"show":[92],"that":[93],"RES-NET":[94],"can":[96,116,127],"accurately":[97],"classify":[98],"degree":[100],"with":[103,119],"an":[104],"accuracy":[105,122],"89.71%,":[107],"but":[108],"convergence":[110],"rate":[111],"slow,":[113],"while":[114],"AlexNet":[115],"quickly":[117],"converge":[118],"63.21%.":[124],"This":[125],"research":[126,131],"provide":[128],"good":[130],"foundation":[132],"for":[133],"diagnosis":[135],"treatment":[137],"diseases":[140],"disease":[145],"severity":[146],"future.":[149]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
