{"id":"https://openalex.org/W4224997955","doi":"https://doi.org/10.1109/isbi52829.2022.9761559","title":"Transfer Learning for Fundus Image Quality Assessment Using Discriminating Patches","display_name":"Transfer Learning for Fundus Image Quality Assessment Using Discriminating Patches","publication_year":2022,"publication_date":"2022-03-28","ids":{"openalex":"https://openalex.org/W4224997955","doi":"https://doi.org/10.1109/isbi52829.2022.9761559"},"language":"en","primary_location":{"id":"doi:10.1109/isbi52829.2022.9761559","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi52829.2022.9761559","pdf_url":null,"source":{"id":"https://openalex.org/S4363605129","display_name":"2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI)","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":"2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI)","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/A5014314246","display_name":"R Ammu","orcid":null},"institutions":[{"id":"https://openalex.org/I181514455","display_name":"International Institute of Information Technology Bangalore","ror":"https://ror.org/05h9eqy10","country_code":"IN","type":"education","lineage":["https://openalex.org/I181514455"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Ammu R","raw_affiliation_strings":["International Institute of Information Technology,Bangalore,India","International Institute of Information Technology, Bangalore, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"International Institute of Information Technology,Bangalore,India","institution_ids":["https://openalex.org/I181514455"]},{"raw_affiliation_string":"International Institute of Information Technology, Bangalore, India","institution_ids":["https://openalex.org/I181514455"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014371833","display_name":"Neelam Sinha","orcid":"https://orcid.org/0000-0001-8164-8412"},"institutions":[{"id":"https://openalex.org/I181514455","display_name":"International Institute of Information Technology Bangalore","ror":"https://ror.org/05h9eqy10","country_code":"IN","type":"education","lineage":["https://openalex.org/I181514455"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Neelam Sinha","raw_affiliation_strings":["International Institute of Information Technology,Bangalore,India","International Institute of Information Technology, Bangalore, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"International Institute of Information Technology,Bangalore,India","institution_ids":["https://openalex.org/I181514455"]},{"raw_affiliation_string":"International Institute of Information Technology, Bangalore, India","institution_ids":["https://openalex.org/I181514455"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I181514455"],"apc_list":null,"apc_paid":null,"fwci":0.3029,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.48085313,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"19","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":0.9998999834060669,"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":0.9998999834060669,"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":0.9972000122070312,"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/T10250","display_name":"Glaucoma and retinal disorders","score":0.9962000250816345,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.9317545890808105},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.811816930770874},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7545735836029053},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.6555714011192322},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5686092972755432},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5289314389228821},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.4916720986366272},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.490384578704834},{"id":"https://openalex.org/keywords/maximization","display_name":"Maximization","score":0.4840766489505768},{"id":"https://openalex.org/keywords/fundus","display_name":"Fundus (uterus)","score":0.42475634813308716},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4060854911804199},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.40454697608947754},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1513061821460724}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.9317545890808105},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.811816930770874},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7545735836029053},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.6555714011192322},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5686092972755432},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5289314389228821},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.4916720986366272},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.490384578704834},{"id":"https://openalex.org/C2776330181","wikidata":"https://www.wikidata.org/wiki/Q18358244","display_name":"Maximization","level":2,"score":0.4840766489505768},{"id":"https://openalex.org/C2776391266","wikidata":"https://www.wikidata.org/wiki/Q9612","display_name":"Fundus (uterus)","level":2,"score":0.42475634813308716},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4060854911804199},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40454697608947754},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1513061821460724},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C118487528","wikidata":"https://www.wikidata.org/wiki/Q161437","display_name":"Ophthalmology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi52829.2022.9761559","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi52829.2022.9761559","pdf_url":null,"source":{"id":"https://openalex.org/S4363605129","display_name":"2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI)","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":"2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7300000190734863,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W1969176779","https://openalex.org/W1997894594","https://openalex.org/W2005772228","https://openalex.org/W2066168964","https://openalex.org/W2161989935","https://openalex.org/W2194775991","https://openalex.org/W2914985989","https://openalex.org/W2930568425","https://openalex.org/W2962579127","https://openalex.org/W2964349401","https://openalex.org/W2964350391","https://openalex.org/W3101566148","https://openalex.org/W6637373629"],"related_works":["https://openalex.org/W2965546495","https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W259157601","https://openalex.org/W4205463238","https://openalex.org/W2110523656","https://openalex.org/W1482209366","https://openalex.org/W2521627374","https://openalex.org/W2966407021"],"abstract_inverted_index":{"Automated":[0],"screening":[1],"of":[2,34,42,74,112,124,136,171,188,202],"eye-related":[3],"disorders":[4],"requires":[5],"diagnostic":[6,32],"quality":[7,11,33,43,63,102,111,179],"image":[8,36,175,178],"inputs.":[9],"Image":[10],"may":[12],"be":[13,49,67],"degraded":[14],"by":[15,120],"factors":[16],"such":[17],"as":[18,79],"improper":[19],"light":[20,127,203],"exposure,":[21],"blurring,":[22],"and":[23,126,164,176,205,223],"artifacts.":[24],"Hence,":[25,82],"it":[26],"is":[27,85,118,180],"important":[28],"to":[29,66,86,108,154,208],"assure":[30],"the":[31,35,75,83,88,110,113,134,156,169,174,177,185,209,224,240,245],"for":[37,92,256],"a":[38,71,98,130,141,250],"reliable":[39],"diagnosis.":[40],"Differentiation":[41],"levels":[44,123,201],"in":[45,62,69,173,194,253],"fundus":[46,115],"images":[47,192,231,258],"should":[48],"based":[50,144,167,182],"on":[51,145,151,168,184,229],"depicting":[52],"fine":[53],"anatomical":[54],"features":[55,59],"faithfully.":[56],"The":[57,191],"relevant":[58,158],"that":[60,239],"aid":[61],"assessment":[64,103],"tend":[65],"located":[68],"just":[70],"few":[72],"regions":[73],"image,":[76],"called":[77],"here":[78],"&#x2019;discriminative":[80],"regions&#x2019;.":[81],"challenge":[84],"determine":[87,109],"most":[89,157],"informative":[90],"patches":[91,153,166],"model":[93,243,248],"training.":[94],"In":[95],"this":[96],"work,":[97],"transfer":[99],"learning-based":[100],"no-reference":[101],"method":[104,148],"has":[105,226],"been":[106,227],"developed":[107],"acquired":[114],"image.":[116],"This":[117],"accomplished":[119],"identifying":[121],"severity":[122],"blur":[125,206],"exposure":[128,204],"with":[129,199,218,249],"confidence":[131],"score":[132],"reflecting":[133],"certainty":[135],"prediction.":[137],"We":[138,160,236],"also":[139,237],"propose":[140],"robust":[142],"framework":[143],"EM":[146],"(Expectation-Maximization)":[147],"which":[149],"focuses":[150],"discriminative":[152,189,241],"retain":[155],"information.":[159],"differentiate":[161],"between":[162],"discriminating":[163],"non-discriminating":[165],"level":[170],"detail":[172],"determined":[181],"only":[183],"prediction":[186],"probability":[187],"patches.":[190],"used":[193],"training":[195],"are":[196],"synthetically":[197],"distorted":[198],"various":[200],"according":[207],"proposed":[210],"degradation":[211],"model.":[212],"A":[213],"comparative":[214],"study":[215],"was":[216],"performed":[217],"recent":[219],"deep":[220],"learning":[221],"models":[222],"approach":[225],"tested":[228],"real":[230],"from":[232,259],"multiple":[233],"public":[234],"databases.":[235],"demonstrate":[238],"patch-based":[242,247],"outperforms":[244],"simple":[246],"5.17%":[251],"improvement":[252],"sensitivity":[254],"calculated":[255],"310":[257],"EYEQ":[260],"dataset.":[261]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
