{"id":"https://openalex.org/W2547566784","doi":"https://doi.org/10.1145/2980258.2980337","title":"Detection of Microaneurysms and Exudates from Color Fundus Images by using SBGFRLS Algorithm","display_name":"Detection of Microaneurysms and Exudates from Color Fundus Images by using SBGFRLS Algorithm","publication_year":2016,"publication_date":"2016-08-25","ids":{"openalex":"https://openalex.org/W2547566784","doi":"https://doi.org/10.1145/2980258.2980337","mag":"2547566784"},"language":"en","primary_location":{"id":"doi:10.1145/2980258.2980337","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2980258.2980337","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Informatics and Analytics","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":null,"display_name":"Manoj Kumar","orcid":null},"institutions":[{"id":"https://openalex.org/I4400573194","display_name":"National Institute of Technology, Puducherry","ror":"https://ror.org/02tare285","country_code":null,"type":"education","lineage":["https://openalex.org/I4400573194"]}],"countries":[],"is_corresponding":true,"raw_author_name":"Manoj Kumar","raw_affiliation_strings":["Department of ECE, NIT Puducherry, Karaikal"],"affiliations":[{"raw_affiliation_string":"Department of ECE, NIT Puducherry, Karaikal","institution_ids":["https://openalex.org/I4400573194"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107874406","display_name":"Manikandan","orcid":null},"institutions":[{"id":"https://openalex.org/I4400573194","display_name":"National Institute of Technology, Puducherry","ror":"https://ror.org/02tare285","country_code":null,"type":"education","lineage":["https://openalex.org/I4400573194"]}],"countries":[],"is_corresponding":false,"raw_author_name":"Manikandan","raw_affiliation_strings":["Department of ECE, NIT Puducherry, Karaikal"],"affiliations":[{"raw_affiliation_string":"Department of ECE, NIT Puducherry, Karaikal","institution_ids":["https://openalex.org/I4400573194"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083080394","display_name":"Malaya Kumar Nath","orcid":"https://orcid.org/0000-0002-1959-6452"},"institutions":[{"id":"https://openalex.org/I4400573194","display_name":"National Institute of Technology, Puducherry","ror":"https://ror.org/02tare285","country_code":null,"type":"education","lineage":["https://openalex.org/I4400573194"]}],"countries":[],"is_corresponding":false,"raw_author_name":"Malaya Kumar Nath","raw_affiliation_strings":["Department of ECE, NIT Puducherry, Karaikal"],"affiliations":[{"raw_affiliation_string":"Department of ECE, NIT Puducherry, Karaikal","institution_ids":["https://openalex.org/I4400573194"]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4400573194"],"apc_list":null,"apc_paid":null,"fwci":1.7121,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.84650267,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"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/T12874","display_name":"Digital Imaging for Blood Diseases","score":0.9832000136375427,"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"}},{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9729999899864197,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5874751806259155},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5585983395576477},{"id":"https://openalex.org/keywords/fundus","display_name":"Fundus (uterus)","score":0.526991069316864},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5025384426116943},{"id":"https://openalex.org/keywords/ophthalmology","display_name":"Ophthalmology","score":0.12930050492286682},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.06663146615028381}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5874751806259155},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5585983395576477},{"id":"https://openalex.org/C2776391266","wikidata":"https://www.wikidata.org/wiki/Q9612","display_name":"Fundus (uterus)","level":2,"score":0.526991069316864},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5025384426116943},{"id":"https://openalex.org/C118487528","wikidata":"https://www.wikidata.org/wiki/Q161437","display_name":"Ophthalmology","level":1,"score":0.12930050492286682},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.06663146615028381}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2980258.2980337","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2980258.2980337","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Informatics and Analytics","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":13,"referenced_works":["https://openalex.org/W1996151979","https://openalex.org/W2016795705","https://openalex.org/W2020267609","https://openalex.org/W2081093511","https://openalex.org/W2086848813","https://openalex.org/W2092300159","https://openalex.org/W2104324599","https://openalex.org/W2109662030","https://openalex.org/W2124459495","https://openalex.org/W2137936662","https://openalex.org/W2162698990","https://openalex.org/W2167354555","https://openalex.org/W2507642566"],"related_works":["https://openalex.org/W2755342338","https://openalex.org/W2058170566","https://openalex.org/W2036807459","https://openalex.org/W2772917594","https://openalex.org/W2775347418","https://openalex.org/W1969923398","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2079911747"],"abstract_inverted_index":{"Different":[0],"pathological":[1],"features":[2,95],"such":[3],"as":[4,265],"microaneurysms,":[5],"hemorrhages,":[6],"cotton":[7],"wool":[8],"spots":[9],"and":[10,23,48,62,71,80,91,112,123,131,151,178,196,214,225,233,289,300],"exudates":[11,92,113,124,219,239,261,290,302],"appear":[12],"over":[13],"the":[14,18,29,55,67,87,94,98,103,110,115,140,147,163,175,189,217,236,244,253,268,272,284,301,322],"retina":[15],"due":[16],"to":[17,52,73,84,102,108,173,188,222,242,267,283,317],"progression":[19],"of":[20,33,54,60,86,194,235,238,246,260,295,313],"diabetic":[21,34,74,206],"retinopathy":[22,207],"causes":[24,37],"vision":[25,99],"loss.":[26],"Microaneurysms":[27,90,274],"are":[28,78,93,220,240,275,303,327],"first":[30],"clinical":[31],"symptom":[32],"retinopathy,":[35],"which":[36,329],"fluid":[38],"leakage":[39],"at":[40,165],"a":[41],"latter":[42],"stage.":[43],"It":[44],"is":[45,106,159,186,315],"very":[46],"tiny":[47],"has":[49,201],"similar":[50,82],"contrast":[51,83],"that":[53,85],"blood":[56,69,285,296],"vessel.":[57],"Exudates":[58,77],"consist":[59],"lipids":[61],"protein":[63],"deposit":[64],"comes":[65],"from":[66,114],"damaged":[68],"vessels":[70],"leads":[72],"macular":[75],"edema.":[76],"brighter":[79],"having":[81],"optic":[88,287,298],"disc.":[89],"for":[96,161,192,216,231,249,258,311],"estimating":[97],"degradation.":[100],"Due":[101],"appearance":[104],"it":[105],"difficult":[107],"detect":[109,174],"microaneurysms":[111,122,195,314,323],"color":[116],"fundus":[117,142],"images.":[118],"In":[119],"this":[120,306],"paper,":[121],"have":[125],"been":[126,202],"extracted":[127,276],"using":[128,278],"selective":[129],"binary":[130],"Gaussian":[132,152],"filtering":[133],"regularized":[134],"level":[135,148],"set":[136,149],"(SBGFRLS)":[137],"algorithm":[138,185,282],"on":[139,204],"pre-processed":[141,190],"image.":[143,292,308],"The":[144,183,198,211,228,255,293,309],"SBGFRLS":[145,184],"uses":[146],"function":[150],"smoothing":[153],"kernel.":[154],"Signed":[155],"pressure":[156],"force":[157],"(SPF)":[158],"used":[160],"stopping":[162],"contours":[164],"weak":[166],"or":[167],"blurred":[168],"edges.":[169],"This":[170],"can":[171,330],"able":[172],"boundaries":[176],"automatically":[177],"help":[179],"in":[180,252,271,305],"global":[181],"segmentation.":[182],"applied":[187],"image":[191],"detection":[193,218,237,259,312],"exudates.":[197],"proposed":[199,256],"method":[200,257,269],"tested":[203],"standard":[205],"i.e.,":[208],"DIARETDB1":[209],"database.":[210,254],"average":[212],"accuracy":[213,232,310],"specificity":[215,234],"found":[221,316],"be":[223,318,331],"93.41%":[224],"97.42%,":[226],"respectively.":[227],"box":[229],"plot":[230],"plotted":[241],"show":[243],"distribution":[245],"performance":[247],"values":[248],"different":[250],"images":[251],"provides":[262],"better":[263],"result":[264],"compared":[266],"discussed":[270],"literature.":[273],"by":[277,333],"h":[279],"extended":[280],"minima":[281],"vessel,":[286,297],"disc":[288,299],"inpainted":[291,307],"effect":[294],"suppressed":[304],"90%.":[319],"Along":[320],"with":[321],"some":[324,334],"spurious":[325],"signals":[326],"detected":[328],"reduced":[332],"post":[335],"processing":[336],"step.":[337]},"counts_by_year":[{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":2}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}