{"id":"https://openalex.org/W2575189192","doi":"https://doi.org/10.3233/978-1-61499-696-5-58","title":"Diabetic Retinopathy Detection Through Image Analysis Using Deep Convolutional Neural Networks","display_name":"Diabetic Retinopathy Detection Through Image Analysis Using Deep Convolutional Neural Networks","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2575189192","doi":"https://doi.org/10.3233/978-1-61499-696-5-58","mag":"2575189192"},"language":"en","primary_location":{"id":"doi:10.3233/978-1-61499-696-5-58","is_oa":false,"landing_page_url":"https://doi.org/10.3233/978-1-61499-696-5-58","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"type":"book-chapter","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/A5116359462","display_name":"de La Torre Jordi","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"de La Torre Jordi","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025525181","display_name":"A\u0131\u0308da Valls","orcid":"https://orcid.org/0000-0003-3616-7809"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Valls Aida","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5036512820","display_name":"Puig Domenec","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Puig Domenec","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5116359462"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.9168,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.95221607,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11438","display_name":"Retinal Imaging and Analysis","score":0.9988999962806702,"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":0.9988999962806702,"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/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9470999836921692,"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"}},{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9452000260353088,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7965684533119202},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.595479428768158},{"id":"https://openalex.org/keywords/diabetic-retinopathy","display_name":"Diabetic retinopathy","score":0.5936108827590942},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.535901665687561},{"id":"https://openalex.org/keywords/retinopathy","display_name":"Retinopathy","score":0.47586411237716675},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4252289831638336},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40299564599990845},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.3747270107269287},{"id":"https://openalex.org/keywords/diabetes-mellitus","display_name":"Diabetes mellitus","score":0.10448545217514038},{"id":"https://openalex.org/keywords/endocrinology","display_name":"Endocrinology","score":0.03539970517158508}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7965684533119202},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.595479428768158},{"id":"https://openalex.org/C2779829184","wikidata":"https://www.wikidata.org/wiki/Q631361","display_name":"Diabetic retinopathy","level":3,"score":0.5936108827590942},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.535901665687561},{"id":"https://openalex.org/C2778313320","wikidata":"https://www.wikidata.org/wiki/Q550455","display_name":"Retinopathy","level":3,"score":0.47586411237716675},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4252289831638336},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40299564599990845},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.3747270107269287},{"id":"https://openalex.org/C555293320","wikidata":"https://www.wikidata.org/wiki/Q12206","display_name":"Diabetes mellitus","level":2,"score":0.10448545217514038},{"id":"https://openalex.org/C134018914","wikidata":"https://www.wikidata.org/wiki/Q162606","display_name":"Endocrinology","level":1,"score":0.03539970517158508}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/978-1-61499-696-5-58","is_oa":false,"landing_page_url":"https://doi.org/10.3233/978-1-61499-696-5-58","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4226493464","https://openalex.org/W3133861977","https://openalex.org/W2951211570","https://openalex.org/W3103566983","https://openalex.org/W2584074590","https://openalex.org/W3028974389","https://openalex.org/W2752816974","https://openalex.org/W3190746054","https://openalex.org/W2567704700","https://openalex.org/W2942861078"],"abstract_inverted_index":{"Diabetic":[0],"Retinopathy":[1],"is":[2,23,53,166],"one":[3],"of":[4,8,20,29,63,102,108,127,158,185],"the":[5,21,27,72,100,103,148,152],"main":[6],"causes":[7],"blindness":[9],"and":[10,18,79],"visual":[11],"impairment":[12],"for":[13],"diabetic":[14],"population.":[15],"The":[16],"detection":[17],"diagnosis":[19],"disease":[22],"usually":[24],"done":[25],"with":[26,33,137],"help":[28],"retinal":[30,57],"images":[31,58,141],"taken":[32],"a":[34,124,155,170],"mydriatric":[35],"camera.":[36],"In":[37,65],"this":[38],"paper":[39],"we":[40,98],"propose":[41],"an":[42],"automatic":[43],"retina":[44],"image":[45,120],"classifier":[46],"that":[47,150,164],"using":[48,87],"supervised":[49],"deep":[50,109],"learning":[51,106],"techniques":[52,91],"able":[54],"to":[55,75,146,168],"classify":[56],"in":[59,118,144],"five":[60],"standard":[61],"levels":[62],"severity.":[64],"each":[66],"level":[67],"different":[68,133,138],"irregularities":[69],"appear":[70],"on":[71,93],"image,":[73],"due":[74],"micro-aneurisms,":[76],"hemorrages,":[77],"exudates":[78],"edemas.":[80],"This":[81],"problem":[82],"has":[83,114],"been":[84],"approached":[85],"before":[86],"traditional":[88],"computer":[89],"vision":[90],"based":[92],"manual":[94],"feature":[95],"extraction.":[96],"Differently,":[97],"explore":[99],"use":[101],"recent":[104],"machine":[105],"approach":[107],"convolutional":[110,134],"neural":[111,135],"networks,":[112],"which":[113],"given":[115],"good":[116],"results":[117],"other":[119],"classification":[121,174],"problems.":[122],"From":[123],"training":[125],"dataset":[126],"around":[128,159],"35000":[129],"human":[130,181],"classified":[131],"images,":[132],"networks":[136],"input":[139],"size":[140],"are":[142],"tested":[143],"order":[145],"find":[147],"model":[149],"performs":[151],"best":[153],"over":[154,176],"test":[156],"set":[157],"53000":[160],"images.":[161],"Results":[162],"show":[163],"it":[165],"possible":[167],"achieve":[169],"quadratic":[171],"weighted":[172],"kappa":[173],"score":[175],"0.75":[177],"not":[178],"far":[179],"from":[180],"expert":[182],"reported":[183],"scores":[184],"0.80.":[186]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2025-12-19T19:40:27.379048","created_date":"2025-10-10T00:00:00"}
