{"id":"https://openalex.org/W4415353232","doi":"https://doi.org/10.1109/access.2025.3623317","title":"Verification of Retina Disease Classification Results on a Public OCT Dataset","display_name":"Verification of Retina Disease Classification Results on a Public OCT Dataset","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4415353232","doi":"https://doi.org/10.1109/access.2025.3623317"},"language":"en","primary_location":{"id":"doi:10.1109/access.2025.3623317","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3623317","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2025.3623317","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5009279037","display_name":"Tomasz Marciniak","orcid":"https://orcid.org/0000-0001-6035-7325"},"institutions":[{"id":"https://openalex.org/I46597724","display_name":"Pozna\u0144 University of Technology","ror":"https://ror.org/00p7p3302","country_code":"PL","type":"education","lineage":["https://openalex.org/I46597724"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Tomasz Marciniak","raw_affiliation_strings":["Institute of Automatic Control and Robotics, Poznan University of Technology, Poznan, Poland","Institute of Automatic Control and Robotics, Poznan University of Technology, Poland"],"raw_orcid":"https://orcid.org/0000-0001-6035-7325","affiliations":[{"raw_affiliation_string":"Institute of Automatic Control and Robotics, Poznan University of Technology, Poznan, Poland","institution_ids":["https://openalex.org/I46597724"]},{"raw_affiliation_string":"Institute of Automatic Control and Robotics, Poznan University of Technology, Poland","institution_ids":["https://openalex.org/I46597724"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033716657","display_name":"Agnieszka Stankiewicz","orcid":"https://orcid.org/0000-0002-2983-897X"},"institutions":[{"id":"https://openalex.org/I46597724","display_name":"Pozna\u0144 University of Technology","ror":"https://ror.org/00p7p3302","country_code":"PL","type":"education","lineage":["https://openalex.org/I46597724"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Agnieszka A. Stankiewicz","raw_affiliation_strings":["Institute of Automatic Control and Robotics, Poznan University of Technology, Poznan, Poland","Institute of Automatic Control and Robotics, Poznan University of Technology, Poland"],"raw_orcid":"https://orcid.org/0000-0002-2983-897X","affiliations":[{"raw_affiliation_string":"Institute of Automatic Control and Robotics, Poznan University of Technology, Poznan, Poland","institution_ids":["https://openalex.org/I46597724"]},{"raw_affiliation_string":"Institute of Automatic Control and Robotics, Poznan University of Technology, Poland","institution_ids":["https://openalex.org/I46597724"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I46597724"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.39378865,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"13","issue":null,"first_page":"181586","last_page":"181598"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11438","display_name":"Retinal Imaging and Analysis","score":0.9957000017166138,"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":0.9957000017166138,"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":0.9401999711990356,"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/correctness","display_name":"Correctness","score":0.8363000154495239},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6539999842643738},{"id":"https://openalex.org/keywords/test-data","display_name":"Test data","score":0.5666999816894531},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.5041999816894531},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5026999711990356},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.47699999809265137},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4404999911785126}],"concepts":[{"id":"https://openalex.org/C55439883","wikidata":"https://www.wikidata.org/wiki/Q360812","display_name":"Correctness","level":2,"score":0.8363000154495239},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.794700026512146},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6539999842643738},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6456000208854675},{"id":"https://openalex.org/C16910744","wikidata":"https://www.wikidata.org/wiki/Q7705759","display_name":"Test data","level":2,"score":0.5666999816894531},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.5041999816894531},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5026999711990356},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.47699999809265137},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4404999911785126},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43939998745918274},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36660000681877136},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.3517000079154968},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3472000062465668},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.34209999442100525},{"id":"https://openalex.org/C2777267654","wikidata":"https://www.wikidata.org/wiki/Q3519023","display_name":"Test (biology)","level":2,"score":0.33709999918937683},{"id":"https://openalex.org/C2780724565","wikidata":"https://www.wikidata.org/wiki/Q5227256","display_name":"Data classification","level":2,"score":0.27410000562667847},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.27219998836517334},{"id":"https://openalex.org/C138958017","wikidata":"https://www.wikidata.org/wiki/Q190087","display_name":"Data type","level":2,"score":0.2648000121116638}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2025.3623317","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3623317","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:b0b90603074c426aa22450bbac2ee16c","is_oa":true,"landing_page_url":"https://doaj.org/article/b0b90603074c426aa22450bbac2ee16c","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 13, Pp 181586-181598 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2025.3623317","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3623317","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G454746397","display_name":null,"funder_award_id":"0211/SBAD/0225","funder_id":"https://openalex.org/F4320322481","funder_display_name":"Politechnika Pozna\u0144ska"}],"funders":[{"id":"https://openalex.org/F4320322481","display_name":"Politechnika Pozna\u0144ska","ror":"https://ror.org/00p7p3302"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"The":[0,139],"effectiveness":[1,96],"of":[2,15,23,26,48,57,74,146],"the":[3,12,21,27,46,49,69,75,81,85,95,110,144,161],"classification":[4,50],"process":[5,51],"using":[6,42,129,153],"deep":[7],"neural":[8,124,131],"networks":[9],"depends":[10],"on":[11,109,119],"correct":[13],"preparation":[14],"data":[16,38,76,79,154],"sets.":[17,165],"In":[18],"this":[19],"article,":[20],"correctness":[22,47],"seven":[24],"versions":[25,56],"LOCT":[28],"B-scan":[29],"OCT":[30],"dataset":[31],"(which":[32],"can":[33],"be":[34,151],"found":[35],"in":[36,66,88,99,135],"public":[37],"repositories)":[39],"was":[40,60,127],"verified":[41],"SHA":[43],"encoding.":[44],"Furthermore,":[45],"for":[52],"three":[53],"most":[54],"representative":[55],"these":[58],"datasets":[59],"analyzed.":[61],"We":[62],"have":[63],"observed":[64],"that":[65,143,155],"some":[67,78],"repositories,":[68],"validation":[70],"and":[71,94,118,163],"test":[72,164],"parts":[73],"included":[77],"from":[80],"training":[82,126,162],"part.":[83],"Therefore,":[84],"experimental":[86],"results":[87,97,145],"many":[89,147],"articles":[90],"are":[91,102],"not":[92,157],"correct,":[93],"presented":[98],"various":[100],"publications":[101,149],"surprisingly":[103],"high.":[104],"Classification":[105],"experiments":[106],"were":[107],"performed":[108,128],"original":[111],"version":[112],"with":[113],"duplicates,":[114],"its":[115],"extended":[116],"variation,":[117],"a":[120],"cleaned":[121],"version.":[122],"Deep":[123],"network":[125,132],"well-established":[130],"architectures":[133],"used":[134],"medical":[136],"image":[137],"classification.":[138],"conducted":[140],"research":[141],"indicates":[142],"scientific":[148],"should":[150],"re-evaluated":[152],"does":[156],"contain":[158],"duplications":[159],"between":[160]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-21T00:00:00"}