{"id":"https://openalex.org/W4319454421","doi":"https://doi.org/10.1109/imcom56909.2023.10035647","title":"Feature Pool Exploitation for Disease Detection in Fundus Images","display_name":"Feature Pool Exploitation for Disease Detection in Fundus Images","publication_year":2023,"publication_date":"2023-01-03","ids":{"openalex":"https://openalex.org/W4319454421","doi":"https://doi.org/10.1109/imcom56909.2023.10035647"},"language":"en","primary_location":{"id":"doi:10.1109/imcom56909.2023.10035647","is_oa":false,"landing_page_url":"https://doi.org/10.1109/imcom56909.2023.10035647","pdf_url":null,"source":{"id":"https://openalex.org/S4363608560","display_name":"2023 17th International Conference on Ubiquitous Information Management and Communication (IMCOM)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 17th International Conference on Ubiquitous Information Management and Communication (IMCOM)","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/A5070445465","display_name":"Sammy Yap Xiang Bang","orcid":null},"institutions":[{"id":"https://openalex.org/I848706","display_name":"Sungkyunkwan University","ror":"https://ror.org/04q78tk20","country_code":"KR","type":"education","lineage":["https://openalex.org/I848706"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sammy Yap Xiang Bang","raw_affiliation_strings":["Sungkyunkwan University,Dept. of Superintelligence Engineering,Suwon,Korea","Dept. of Superintelligence Engineering, Sungkyunkwan University, Suwon, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sungkyunkwan University,Dept. of Superintelligence Engineering,Suwon,Korea","institution_ids":["https://openalex.org/I848706"]},{"raw_affiliation_string":"Dept. of Superintelligence Engineering, Sungkyunkwan University, Suwon, Korea","institution_ids":["https://openalex.org/I848706"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085821222","display_name":"Kim-Ngoc T. Le","orcid":"https://orcid.org/0009-0001-0431-9161"},"institutions":[{"id":"https://openalex.org/I848706","display_name":"Sungkyunkwan University","ror":"https://ror.org/04q78tk20","country_code":"KR","type":"education","lineage":["https://openalex.org/I848706"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Kim-Ngoc Thi Le","raw_affiliation_strings":["Sungkyunkwan University,Dept. of Superintelligence Engineering,Suwon,Korea","Dept. of Superintelligence Engineering, Sungkyunkwan University, Suwon, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sungkyunkwan University,Dept. of Superintelligence Engineering,Suwon,Korea","institution_ids":["https://openalex.org/I848706"]},{"raw_affiliation_string":"Dept. of Superintelligence Engineering, Sungkyunkwan University, Suwon, Korea","institution_ids":["https://openalex.org/I848706"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041230893","display_name":"Duc-Tai Le","orcid":"https://orcid.org/0000-0002-5286-6629"},"institutions":[{"id":"https://openalex.org/I848706","display_name":"Sungkyunkwan University","ror":"https://ror.org/04q78tk20","country_code":"KR","type":"education","lineage":["https://openalex.org/I848706"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Duc-Tai Le","raw_affiliation_strings":["College of Computing and Informatics Sungkyunkwan University,Suwon,Korea","College of Computing and Informatics Sungkyunkwan University, Suwon, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computing and Informatics Sungkyunkwan University,Suwon,Korea","institution_ids":["https://openalex.org/I848706"]},{"raw_affiliation_string":"College of Computing and Informatics Sungkyunkwan University, Suwon, Korea","institution_ids":["https://openalex.org/I848706"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054933494","display_name":"Hyunseung Choo","orcid":"https://orcid.org/0000-0002-6485-3155"},"institutions":[{"id":"https://openalex.org/I848706","display_name":"Sungkyunkwan University","ror":"https://ror.org/04q78tk20","country_code":"KR","type":"education","lineage":["https://openalex.org/I848706"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hyunseung Choo","raw_affiliation_strings":["Sungkyunkwan University,Dept. of Electrical and Computer Engineering,Suwon,Korea","Dept. of Electrical and Computer Engineering, Sungkyunkwan University, Suwon, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sungkyunkwan University,Dept. of Electrical and Computer Engineering,Suwon,Korea","institution_ids":["https://openalex.org/I848706"]},{"raw_affiliation_string":"Dept. of Electrical and Computer Engineering, Sungkyunkwan University, Suwon, Korea","institution_ids":["https://openalex.org/I848706"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I848706"],"apc_list":null,"apc_paid":null,"fwci":1.1611,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.82015373,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"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/T12599","display_name":"Retinal and Optic Conditions","score":0.987500011920929,"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":0.9811999797821045,"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/fundus","display_name":"Fundus (uterus)","score":0.8017841577529907},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7561585903167725},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7262272834777832},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5357486605644226},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5249854326248169},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5200992822647095},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.516093909740448},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4434545040130615},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.41481897234916687},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2279181182384491},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08873927593231201}],"concepts":[{"id":"https://openalex.org/C2776391266","wikidata":"https://www.wikidata.org/wiki/Q9612","display_name":"Fundus (uterus)","level":2,"score":0.8017841577529907},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7561585903167725},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7262272834777832},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5357486605644226},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5249854326248169},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5200992822647095},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.516093909740448},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4434545040130615},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.41481897234916687},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2279181182384491},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08873927593231201},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C118487528","wikidata":"https://www.wikidata.org/wiki/Q161437","display_name":"Ophthalmology","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/imcom56909.2023.10035647","is_oa":false,"landing_page_url":"https://doi.org/10.1109/imcom56909.2023.10035647","pdf_url":null,"source":{"id":"https://openalex.org/S4363608560","display_name":"2023 17th International Conference on Ubiquitous Information Management and Communication (IMCOM)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 17th International Conference on Ubiquitous Information Management and Communication (IMCOM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1574447377","https://openalex.org/W2072852299","https://openalex.org/W2906424845","https://openalex.org/W3011862446","https://openalex.org/W3025847621","https://openalex.org/W3037528678","https://openalex.org/W3112251966","https://openalex.org/W3135096391","https://openalex.org/W3176368462","https://openalex.org/W3194601515","https://openalex.org/W4224952614"],"related_works":["https://openalex.org/W2374520121","https://openalex.org/W2394034517","https://openalex.org/W2364945429","https://openalex.org/W4388037085","https://openalex.org/W3044879582","https://openalex.org/W2045010375","https://openalex.org/W2372403409","https://openalex.org/W2471181682","https://openalex.org/W2005234362","https://openalex.org/W1997235926"],"abstract_inverted_index":{"Retinal":[0],"fundus":[1,32,55,109,132,143],"diseases":[2],"without":[3],"immediate":[4],"diagnoses":[5],"and":[6,23,46,86,111,154],"treatment":[7],"may":[8],"lead":[9],"to":[10,125,134],"serious":[11],"consequences":[12],"such":[13],"as":[14],"permanent":[15],"visual":[16],"impairment.":[17],"Recently,":[18],"many":[19],"machine":[20],"learning":[21,25],"(ML)":[22],"deep":[24],"(DL)":[26],"models":[27,38],"have":[28],"been":[29],"introduced":[30],"for":[31,44,51,131],"image":[33],"classification.":[34],"However,":[35],"those":[36],"heavy":[37],"require":[39],"high-end":[40],"graphics":[41],"processing":[42],"units":[43],"training":[45],"testing,":[47],"thus":[48],"not":[49],"suitable":[50],"real-case":[52],"usage":[53],"in":[54],"cameras":[56],"with":[57,94,145,151],"limited":[58],"computation":[59],"power.":[60],"In":[61],"this":[62],"paper,":[63],"we":[64],"demonstrate":[65],"the":[66,148],"effectiveness":[67],"of":[68,80,106],"our":[69,112],"proposed":[70,120],"two-block":[71],"model,":[72],"Feature":[73,82],"Exploitation":[74,83],"Lightweight":[75,87],"network":[76],"(FEL-net)":[77],"which":[78],"consists":[79],"a":[81,104,127],"Block":[84,89],"(FEB)":[85],"Classification":[88],"(LCB)":[90],"by":[91],"comparing":[92],"it":[93],"other":[95],"DL":[96],"models.":[97],"The":[98,119],"experiment":[99],"was":[100],"carried":[101],"out":[102],"on":[103],"dataset":[105],"21,":[107],"697":[108],"images":[110,133,144],"model":[113],"achieves":[114],"99%":[115],"binary":[116],"classification":[117],"accuracy.":[118],"robust":[121],"FEB":[122],"is":[123],"used":[124],"generate":[126],"refined":[128],"feature":[129],"pool":[130],"build":[135],"an":[136],"efficient":[137],"ML":[138],"classifier":[139],"that":[140],"can":[141],"distinguish":[142],"disease":[146],"from":[147],"normal":[149],"case":[150],"high":[152],"accuracy":[153],"low":[155],"running":[156],"time.":[157]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
