{"id":"https://openalex.org/W2743461367","doi":"https://doi.org/10.1109/icnsc.2017.8000068","title":"Automatic cataract detection and grading using Deep Convolutional Neural Network","display_name":"Automatic cataract detection and grading using Deep Convolutional Neural Network","publication_year":2017,"publication_date":"2017-05-01","ids":{"openalex":"https://openalex.org/W2743461367","doi":"https://doi.org/10.1109/icnsc.2017.8000068","mag":"2743461367"},"language":"en","primary_location":{"id":"doi:10.1109/icnsc.2017.8000068","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icnsc.2017.8000068","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 14th International Conference on Networking, Sensing and Control (ICNSC)","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/A5101646164","display_name":"Linglin Zhang","orcid":"https://orcid.org/0009-0009-0412-0302"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Linglin Zhang","raw_affiliation_strings":["School of Software Engineering, Beijing University of Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software Engineering, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100393880","display_name":"Jianqiang Li","orcid":"https://orcid.org/0000-0003-1995-9249"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianqiang Li","raw_affiliation_strings":["School of Software Engineering, Beijing University of Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software Engineering, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013034314","display_name":"Ian Y. Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I1294606314","display_name":"Beijing Tongren Hospital","ror":"https://ror.org/013e4n276","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I1294606314"]},{"id":"https://openalex.org/I183519381","display_name":"Capital Medical University","ror":"https://ror.org/013xs5b60","country_code":"CN","type":"education","lineage":["https://openalex.org/I183519381"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"i Zhang","raw_affiliation_strings":["Beijing Tongren Hospital, Capital Medical University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Tongren Hospital, Capital Medical University, Beijing, China","institution_ids":["https://openalex.org/I1294606314","https://openalex.org/I183519381"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100411307","display_name":"Han He","orcid":"https://orcid.org/0009-0004-8632-3325"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"He Han","raw_affiliation_strings":["School of Software Engineering, Beijing University of Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software Engineering, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103809429","display_name":"Bo Liu","orcid":"https://orcid.org/0009-0003-8653-4301"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Liu","raw_affiliation_strings":["School of Software Engineering, Beijing University of Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software Engineering, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050950280","display_name":"Ji\u2010Jiang Yang","orcid":"https://orcid.org/0000-0002-4124-6408"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jijiang Yang","raw_affiliation_strings":["Research Institute of Information Technology, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Institute of Information Technology, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100434915","display_name":"Qing Wang","orcid":"https://orcid.org/0009-0003-7328-8762"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qing Wang","raw_affiliation_strings":["Research Institute of Information Technology, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Institute of Information Technology, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":12.6946,"has_fulltext":false,"cited_by_count":137,"citation_normalized_percentile":{"value":0.99392949,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"60","last_page":"65"},"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":0.9955000281333923,"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":0.9925000071525574,"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/convolutional-neural-network","display_name":"Convolutional neural network","score":0.8043137788772583},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7167273759841919},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6895641088485718},{"id":"https://openalex.org/keywords/fundus","display_name":"Fundus (uterus)","score":0.5579012632369995},{"id":"https://openalex.org/keywords/grading","display_name":"Grading (engineering)","score":0.5412125587463379},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5082733035087585},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.47651374340057373},{"id":"https://openalex.org/keywords/blindness","display_name":"Blindness","score":0.4517119526863098},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.412916898727417},{"id":"https://openalex.org/keywords/optometry","display_name":"Optometry","score":0.4092390239238739},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.39548981189727783},{"id":"https://openalex.org/keywords/ophthalmology","display_name":"Ophthalmology","score":0.22980567812919617},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.19359034299850464}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.8043137788772583},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7167273759841919},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6895641088485718},{"id":"https://openalex.org/C2776391266","wikidata":"https://www.wikidata.org/wiki/Q9612","display_name":"Fundus (uterus)","level":2,"score":0.5579012632369995},{"id":"https://openalex.org/C2777286243","wikidata":"https://www.wikidata.org/wiki/Q5591926","display_name":"Grading (engineering)","level":2,"score":0.5412125587463379},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5082733035087585},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.47651374340057373},{"id":"https://openalex.org/C2780929884","wikidata":"https://www.wikidata.org/wiki/Q737460","display_name":"Blindness","level":2,"score":0.4517119526863098},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.412916898727417},{"id":"https://openalex.org/C119767625","wikidata":"https://www.wikidata.org/wiki/Q618211","display_name":"Optometry","level":1,"score":0.4092390239238739},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.39548981189727783},{"id":"https://openalex.org/C118487528","wikidata":"https://www.wikidata.org/wiki/Q161437","display_name":"Ophthalmology","level":1,"score":0.22980567812919617},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.19359034299850464},{"id":"https://openalex.org/C147176958","wikidata":"https://www.wikidata.org/wiki/Q77590","display_name":"Civil engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icnsc.2017.8000068","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icnsc.2017.8000068","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 14th International Conference on Networking, Sensing and Control (ICNSC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1428480121","https://openalex.org/W1605505097","https://openalex.org/W1849277567","https://openalex.org/W1897657709","https://openalex.org/W2012824937","https://openalex.org/W2040584809","https://openalex.org/W2041020055","https://openalex.org/W2060889319","https://openalex.org/W2078469188","https://openalex.org/W2078690376","https://openalex.org/W2099989407","https://openalex.org/W2106879392","https://openalex.org/W2114620690","https://openalex.org/W2115355353","https://openalex.org/W2123215356","https://openalex.org/W2148461049","https://openalex.org/W2155893237","https://openalex.org/W2163344010","https://openalex.org/W2163605009","https://openalex.org/W2198235674","https://openalex.org/W2321432305","https://openalex.org/W2344060962","https://openalex.org/W2535809950","https://openalex.org/W4294147106","https://openalex.org/W6639204139","https://openalex.org/W6681813608","https://openalex.org/W6684191040","https://openalex.org/W6705071965"],"related_works":["https://openalex.org/W2064165679","https://openalex.org/W1588461101","https://openalex.org/W3208525924","https://openalex.org/W2591833644","https://openalex.org/W2885058781","https://openalex.org/W4293226380","https://openalex.org/W3127248583","https://openalex.org/W2967742050","https://openalex.org/W2429379476","https://openalex.org/W4361800274"],"abstract_inverted_index":{"Cataract":[0],"is":[1,47,151,245,257],"one":[2,180,213],"of":[3,8,19,29,43,84,123,157,184,191,218,221,234],"the":[4,11,27,41,65,102,124,140,182,189,197,216,219,224,231,263,269,277],"most":[5],"prevalent":[6],"causes":[7],"blindness":[9],"in":[10,175,249,259,268,286],"industrialized":[12],"world,":[13],"accounting":[14],"for":[15,49],"more":[16,237],"than":[17],"50%":[18],"blindness.":[20,39],"Early":[21],"detection":[22,52,73,251],"and":[23,32,53,74,104,115,188,230,247,252],"treatment":[24],"can":[25],"reduce":[26],"suffering":[28],"cataract":[30,51,72,117,250],"patients":[31],"prevent":[33],"visual":[34],"impairment":[35],"from":[36,164],"turning":[37],"into":[38],"But":[40],"expertise":[42],"trained":[44],"eye":[45,284],"specialists":[46],"necessary":[48],"clinical":[50,159],"grading,":[54],"which":[55,203],"may":[56,88],"cause":[57],"difficulties":[58],"to":[59,64,100,113,139,167,208,279,282],"everybody's":[60],"early":[61],"intervention":[62],"due":[63],"underlying":[66],"costs.":[67],"Existing":[68],"studies":[69],"on":[70,77,154],"automatic":[71],"grading":[75,253],"based":[76],"fundus":[78,161,199],"images":[79,162,200],"utilize":[80],"a":[81,137],"predefined":[82],"set":[83],"image":[85],"features":[86],"that":[87,262],"provide":[89],"an":[90,205],"incomplete,":[91],"redundant,":[92],"or":[93],"even":[94],"noisy":[95],"representation.":[96],"This":[97],"paper":[98,261],"aims":[99],"investigate":[101],"performance":[103],"efficiency":[105],"by":[106,144,195],"using":[107,196],"Depp":[108],"Convolutional":[109],"Neural":[110],"Network":[111],"(DCNN)":[112],"detect":[114],"grad":[116],"automatically,":[118],"it":[119],"also":[120],"visualize":[121],"some":[122],"feature":[125,141],"maps":[126],"at":[127],"pool5":[128],"layer":[129],"with":[130,215],"their":[131],"high-order":[132],"empirical":[133],"semantic":[134],"meaning,":[135],"providing":[136],"explanation":[138],"representation":[142],"extracted":[143],"DCNN.":[145],"The":[146,178,211,239,273],"proposed":[147,274],"DCNN":[148,209,225,264],"classification":[149,226],"system":[150],"cross":[152],"validated":[153],"different":[155],"number":[156],"population-based":[158],"retinal":[160,198],"collected":[163],"hospital,":[165],"up":[166],"5620":[168],"images.":[169],"There":[170],"are":[171,228,236],"two":[172],"conclusions":[173],"suggested":[174],"this":[176,260],"paper:":[177],"first":[179],"is,":[181,214],"interference":[183],"local":[185],"uneven":[186],"illumination":[187],"reflection":[190],"eyes":[192],"were":[193],"overcome":[194],"after":[201],"G-filter,":[202],"makes":[204],"significant":[206],"contribution":[207],"classification.":[210],"second":[212],"increase":[217],"amount":[220],"available":[222],"samples,":[223],"accuracies":[227,235],"increasing,":[229],"fluctuation":[232],"range":[233],"stable.":[238],"best":[240],"accuracy,":[241],"our":[242],"method":[243,275],"achieved,":[244],"93.52%":[246],"86.69%":[248],"tasks":[254],"separately.":[255],"It":[256],"demonstrated":[258],"classifier":[265],"outperforms":[266],"state-of-the-art":[267],"performance.":[270],"Further":[271],"more,":[272],"has":[276],"potential":[278],"be":[280],"applied":[281],"other":[283],"diseases":[285],"future.":[287]},"counts_by_year":[{"year":2026,"cited_by_count":8},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":21},{"year":2023,"cited_by_count":23},{"year":2022,"cited_by_count":21},{"year":2021,"cited_by_count":24},{"year":2020,"cited_by_count":14},{"year":2019,"cited_by_count":12},{"year":2018,"cited_by_count":4}],"updated_date":"2026-08-08T07:41:36.138363","created_date":"2025-10-10T00:00:00"}