{"id":"https://openalex.org/W2070945291","doi":"https://doi.org/10.1109/icacci.2014.6968654","title":"Automated glaucoma detection system based on wavelet energy features and ANN","display_name":"Automated glaucoma detection system based on wavelet energy features and ANN","publication_year":2014,"publication_date":"2014-09-01","ids":{"openalex":"https://openalex.org/W2070945291","doi":"https://doi.org/10.1109/icacci.2014.6968654","mag":"2070945291"},"language":"en","primary_location":{"id":"doi:10.1109/icacci.2014.6968654","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icacci.2014.6968654","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 International Conference on Advances in Computing, Communications and Informatics (ICACCI)","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/A5109029712","display_name":"R. Gayathri","orcid":null},"institutions":[{"id":"https://openalex.org/I106826634","display_name":"Jain University","ror":"https://ror.org/01cnqpt53","country_code":"IN","type":"education","lineage":["https://openalex.org/I106826634"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"R. Gayathri","raw_affiliation_strings":["Dept. of ECE, Atria Institute of Technology, Jain University, Bangalore, Karnataka, IN","Dept. of ECE, Atria Institute of Technology, Jain University, Bangalore, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of ECE, Atria Institute of Technology, Jain University, Bangalore, Karnataka, IN","institution_ids":["https://openalex.org/I106826634"]},{"raw_affiliation_string":"Dept. of ECE, Atria Institute of Technology, Jain University, Bangalore, India","institution_ids":["https://openalex.org/I106826634"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109045978","display_name":"P. V. Rao","orcid":null},"institutions":[{"id":"https://openalex.org/I1323219464","display_name":"Rajarajeswari Medical College and Hospital","ror":"https://ror.org/00gn6h668","country_code":"IN","type":"education","lineage":["https://openalex.org/I1323219464"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"P.V. Rao","raw_affiliation_strings":["Department of ECE, Rajarajeswari College of Engineering, Bangalore, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of ECE, Rajarajeswari College of Engineering, Bangalore, India","institution_ids":["https://openalex.org/I1323219464"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043645047","display_name":"S. Aruna","orcid":null},"institutions":[{"id":"https://openalex.org/I1323219464","display_name":"Rajarajeswari Medical College and Hospital","ror":"https://ror.org/00gn6h668","country_code":"IN","type":"education","lineage":["https://openalex.org/I1323219464"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"S. Aruna","raw_affiliation_strings":["Department of ECE, Rajarajeswari College of Engineering, Bangalore, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of ECE, Rajarajeswari College of Engineering, Bangalore, India","institution_ids":["https://openalex.org/I1323219464"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.205,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.8700201,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"2808","last_page":"2812"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11438","display_name":"Retinal Imaging and Analysis","score":0.9990000128746033,"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":0.9990000128746033,"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":0.9944000244140625,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9772999882698059,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/glaucoma","display_name":"Glaucoma","score":0.8030933141708374},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7616809606552124},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7250545024871826},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5772789716720581},{"id":"https://openalex.org/keywords/multilayer-perceptron","display_name":"Multilayer perceptron","score":0.5715900659561157},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5623039603233337},{"id":"https://openalex.org/keywords/backpropagation","display_name":"Backpropagation","score":0.5434591174125671},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.533308207988739},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.5196005702018738},{"id":"https://openalex.org/keywords/optic-nerve","display_name":"Optic nerve","score":0.5040439963340759},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.4588085412979126},{"id":"https://openalex.org/keywords/optic-cup","display_name":"Optic cup (embryology)","score":0.43328842520713806},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.39339232444763184},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10586574673652649},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.07354521751403809},{"id":"https://openalex.org/keywords/ophthalmology","display_name":"Ophthalmology","score":0.0716264545917511}],"concepts":[{"id":"https://openalex.org/C2778527774","wikidata":"https://www.wikidata.org/wiki/Q159701","display_name":"Glaucoma","level":2,"score":0.8030933141708374},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7616809606552124},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7250545024871826},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5772789716720581},{"id":"https://openalex.org/C179717631","wikidata":"https://www.wikidata.org/wiki/Q2991667","display_name":"Multilayer perceptron","level":3,"score":0.5715900659561157},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5623039603233337},{"id":"https://openalex.org/C155032097","wikidata":"https://www.wikidata.org/wiki/Q798503","display_name":"Backpropagation","level":3,"score":0.5434591174125671},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.533308207988739},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.5196005702018738},{"id":"https://openalex.org/C2780837183","wikidata":"https://www.wikidata.org/wiki/Q186029","display_name":"Optic nerve","level":2,"score":0.5040439963340759},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.4588085412979126},{"id":"https://openalex.org/C96021297","wikidata":"https://www.wikidata.org/wiki/Q7098791","display_name":"Optic cup (embryology)","level":5,"score":0.43328842520713806},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.39339232444763184},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10586574673652649},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.07354521751403809},{"id":"https://openalex.org/C118487528","wikidata":"https://www.wikidata.org/wiki/Q161437","display_name":"Ophthalmology","level":1,"score":0.0716264545917511},{"id":"https://openalex.org/C114696181","wikidata":"https://www.wikidata.org/wiki/Q5422650","display_name":"Eye development","level":4,"score":0.0},{"id":"https://openalex.org/C127716648","wikidata":"https://www.wikidata.org/wiki/Q104053","display_name":"Phenotype","level":3,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icacci.2014.6968654","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icacci.2014.6968654","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 International Conference on Advances in Computing, Communications and Informatics (ICACCI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8899999856948853,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W2058715873","https://openalex.org/W2061096125","https://openalex.org/W2061997187","https://openalex.org/W2113138229","https://openalex.org/W2117089674","https://openalex.org/W2131864940","https://openalex.org/W2142009246","https://openalex.org/W2145649962"],"related_works":["https://openalex.org/W2555356437","https://openalex.org/W2417891382","https://openalex.org/W4401177694","https://openalex.org/W2083196709","https://openalex.org/W2600618515","https://openalex.org/W4285523177","https://openalex.org/W1972161611","https://openalex.org/W196452105","https://openalex.org/W1024306801","https://openalex.org/W2006397229"],"abstract_inverted_index":{"Glaucoma":[0,29],"is":[1,19,48,70,103],"an":[2],"eye":[3,12],"disease":[4],"which":[5],"damages":[6],"the":[7,11,27,51,82,95,100,177,180,183,194,197,200],"optic":[8],"nerve":[9],"of":[10,24,45,50,58,68,84,108,185,202],"and":[13,34,54,79,112,121,158],"becomes":[14],"severe":[15],"over":[16,135],"time.":[17],"It":[18],"caused":[20],"due":[21],"to":[22,31,74,80,104,128,141,154],"buildup":[23],"pressure":[25],"inside":[26],"eye.":[28],"tends":[30],"be":[32],"inherited":[33],"may":[35],"not":[36],"show":[37],"up":[38],"until":[39],"later":[40],"in":[41,72,91,179,196],"life.":[42],"The":[43,65],"detection":[44,67],"glaucomatous":[46,131],"progression":[47],"one":[49],"most":[52,55],"important":[53,71,144],"challenging":[56],"aspects":[57],"primary":[59],"open":[60],"angle":[61],"glaucoma":[62,69],"(OAG)":[63],"management.":[64],"early":[66],"order":[73],"enable":[75],"appropriate":[76],"monitoring,":[77],"treatment":[78],"minimize":[81],"risk":[83],"irreversible":[85],"visual":[86],"field":[87],"loss.":[88],"Although":[89],"advances":[90],"ocular":[92],"imaging":[93],"offer":[94],"potential":[96],"for":[97,164],"earlier":[98],"diagnosis,":[99],"best":[101],"method":[102,118],"involve":[105],"a":[106],"combination":[107],"information":[109],"from":[110],"structural":[111,120],"functional":[113],"tests.":[114],"In":[115],"this":[116],"proposed":[117],"both":[119],"energy":[122,146,150,172],"features":[123,151],"are":[124,152],"considered":[125],"then":[126],"analyzed":[127],"classify":[129],"as":[130],"image.":[132],"Energy":[133],"distribution":[134],"wavelet":[136],"sub":[137],"bands":[138],"were":[139],"applied":[140,153],"find":[142],"these":[143],"texture":[145],"features.":[147,173],"Finally":[148],"extracted":[149,171],"Multilayer":[155],"Perceptron":[156],"(MLP)":[157],"Back":[159],"Propagation":[160],"(BP)":[161],"neural":[162],"network":[163],"effective":[165],"classification":[166],"by":[167],"considering":[168],"normal":[169],"subject's":[170],"Naive":[174],"Bayes":[175],"classifies":[176,193],"images":[178,195],"database":[181,198],"with":[182,199],"accuracy":[184,201],"89.6%.":[186],"MLP-BP":[187],"Artificial":[188],"Neural":[189],"Network":[190],"(ANN)":[191],"algorithm":[192],"97.6%.":[203]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
