{"id":"https://openalex.org/W3118663823","doi":"https://doi.org/10.1109/ssci47803.2020.9308336","title":"Automated Artifacts and Noise Removal from Optical Coherence Tomography Images Using Deep Learning Technique","display_name":"Automated Artifacts and Noise Removal from Optical Coherence Tomography Images Using Deep Learning Technique","publication_year":2020,"publication_date":"2020-12-01","ids":{"openalex":"https://openalex.org/W3118663823","doi":"https://doi.org/10.1109/ssci47803.2020.9308336","mag":"3118663823"},"language":"en","primary_location":{"id":"doi:10.1109/ssci47803.2020.9308336","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssci47803.2020.9308336","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE Symposium Series on Computational Intelligence (SSCI)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://opus.lib.uts.edu.au/bitstream/10453/145086/2/Binder1.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5045539783","display_name":"Nahida Akter","orcid":"https://orcid.org/0009-0003-5441-8429"},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Nahida Akter","raw_affiliation_strings":["School of Optometry and Vision Science UNSW Sydney NSW 2052, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Optometry and Vision Science UNSW Sydney NSW 2052, Australia","institution_ids":["https://openalex.org/I31746571"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038845225","display_name":"Stuart Perry","orcid":"https://orcid.org/0000-0002-2794-3178"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Stuart Perry","raw_affiliation_strings":["School of Electrical and Data Engineering, University of Technology Sydney NSW 2007, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Data Engineering, University of Technology Sydney NSW 2007, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032105571","display_name":"John Fletcher","orcid":"https://orcid.org/0000-0002-5465-5278"},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"John Fletcher","raw_affiliation_strings":["School of Electrical Engineering and Telecommunications UNSW Sydney NSW 2052, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Telecommunications UNSW Sydney NSW 2052, Australia","institution_ids":["https://openalex.org/I31746571"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024595089","display_name":"Matthew P. Simunovic","orcid":"https://orcid.org/0000-0003-0596-1356"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"The University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]},{"id":"https://openalex.org/I2802601309","display_name":"Sydney Hospital","ror":"https://ror.org/0402tt118","country_code":"AU","type":"healthcare","lineage":["https://openalex.org/I2802601309","https://openalex.org/I4210147382"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Matthew Simunovic","raw_affiliation_strings":["Save Sight Institute, University of Sydney & Sydney Eye Hospital NSW 2006, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Save Sight Institute, University of Sydney & Sydney Eye Hospital NSW 2006, Australia","institution_ids":["https://openalex.org/I2802601309","https://openalex.org/I129604602"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063596590","display_name":"Maitreyee Roy","orcid":"https://orcid.org/0000-0001-7314-3801"},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Maitreyee Roy","raw_affiliation_strings":["School of Optometry and Vision Science UNSW Sydney NSW 2052, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Optometry and Vision Science UNSW Sydney NSW 2052, Australia","institution_ids":["https://openalex.org/I31746571"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4699,"has_fulltext":true,"cited_by_count":9,"citation_normalized_percentile":{"value":0.69749052,"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":"2536","last_page":"2542"},"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/T11569","display_name":"Optical Coherence Tomography Applications","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10250","display_name":"Glaucoma and retinal disorders","score":0.9983000159263611,"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/optical-coherence-tomography","display_name":"Optical coherence tomography","score":0.8713035583496094},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7518194913864136},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7445714473724365},{"id":"https://openalex.org/keywords/artifact","display_name":"Artifact (error)","score":0.7269627451896667},{"id":"https://openalex.org/keywords/glaucoma","display_name":"Glaucoma","score":0.6308377385139465},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6042203903198242},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5817205905914307},{"id":"https://openalex.org/keywords/speckle-noise","display_name":"Speckle noise","score":0.5432764887809753},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5023987293243408},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.49811863899230957},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.4369080364704132},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.41082969307899475},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39363357424736023},{"id":"https://openalex.org/keywords/speckle-pattern","display_name":"Speckle pattern","score":0.35722804069519043},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.21126282215118408},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.19291725754737854},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.13515335321426392},{"id":"https://openalex.org/keywords/ophthalmology","display_name":"Ophthalmology","score":0.13141894340515137},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08786985278129578}],"concepts":[{"id":"https://openalex.org/C2778818243","wikidata":"https://www.wikidata.org/wiki/Q899552","display_name":"Optical coherence tomography","level":2,"score":0.8713035583496094},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7518194913864136},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7445714473724365},{"id":"https://openalex.org/C2779010991","wikidata":"https://www.wikidata.org/wiki/Q2720909","display_name":"Artifact (error)","level":2,"score":0.7269627451896667},{"id":"https://openalex.org/C2778527774","wikidata":"https://www.wikidata.org/wiki/Q159701","display_name":"Glaucoma","level":2,"score":0.6308377385139465},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6042203903198242},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5817205905914307},{"id":"https://openalex.org/C180940675","wikidata":"https://www.wikidata.org/wiki/Q7575045","display_name":"Speckle noise","level":3,"score":0.5432764887809753},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5023987293243408},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.49811863899230957},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.4369080364704132},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.41082969307899475},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39363357424736023},{"id":"https://openalex.org/C102290492","wikidata":"https://www.wikidata.org/wiki/Q7575045","display_name":"Speckle pattern","level":2,"score":0.35722804069519043},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.21126282215118408},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.19291725754737854},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.13515335321426392},{"id":"https://openalex.org/C118487528","wikidata":"https://www.wikidata.org/wiki/Q161437","display_name":"Ophthalmology","level":1,"score":0.13141894340515137},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08786985278129578},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ssci47803.2020.9308336","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssci47803.2020.9308336","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE Symposium Series on Computational Intelligence (SSCI)","raw_type":"proceedings-article"},{"id":"pmh:oai:opus.lib.uts.edu.au:10453/145086","is_oa":true,"landing_page_url":"http://hdl.handle.net/10453/145086","pdf_url":"https://opus.lib.uts.edu.au/bitstream/10453/145086/2/Binder1.pdf","source":{"id":"https://openalex.org/S4306401357","display_name":"UTS ePRESS (University of Technology Sydney)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I114017466","host_organization_name":"University of Technology Sydney","host_organization_lineage":["https://openalex.org/I114017466"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Proceeding"}],"best_oa_location":{"id":"pmh:oai:opus.lib.uts.edu.au:10453/145086","is_oa":true,"landing_page_url":"http://hdl.handle.net/10453/145086","pdf_url":"https://opus.lib.uts.edu.au/bitstream/10453/145086/2/Binder1.pdf","source":{"id":"https://openalex.org/S4306401357","display_name":"UTS ePRESS (University of Technology Sydney)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I114017466","host_organization_name":"University of Technology Sydney","host_organization_lineage":["https://openalex.org/I114017466"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Proceeding"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320322722","display_name":"Kasetsart University","ror":"https://ror.org/05gzceg21"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3118663823.pdf","grobid_xml":"https://content.openalex.org/works/W3118663823.grobid-xml"},"referenced_works_count":31,"referenced_works":["https://openalex.org/W1556479936","https://openalex.org/W1564908438","https://openalex.org/W1828085276","https://openalex.org/W1901129140","https://openalex.org/W1996137482","https://openalex.org/W2014210274","https://openalex.org/W2026431811","https://openalex.org/W2034581610","https://openalex.org/W2060340323","https://openalex.org/W2061240737","https://openalex.org/W2103457061","https://openalex.org/W2111402407","https://openalex.org/W2123284830","https://openalex.org/W2133665775","https://openalex.org/W2143268474","https://openalex.org/W2154436677","https://openalex.org/W2170059143","https://openalex.org/W2508457857","https://openalex.org/W2514114492","https://openalex.org/W2520075788","https://openalex.org/W2547055928","https://openalex.org/W2547788753","https://openalex.org/W2586964608","https://openalex.org/W2739094661","https://openalex.org/W2775911781","https://openalex.org/W2980107940","https://openalex.org/W3030515889","https://openalex.org/W3114304101","https://openalex.org/W6682534960","https://openalex.org/W6733443809","https://openalex.org/W6787819515"],"related_works":["https://openalex.org/W2065648684","https://openalex.org/W2009383287","https://openalex.org/W2042914788","https://openalex.org/W2182190754","https://openalex.org/W4321264664","https://openalex.org/W2055824452","https://openalex.org/W2121688719","https://openalex.org/W2727313114","https://openalex.org/W2016481886","https://openalex.org/W4241911733"],"abstract_inverted_index":{"Optical":[0],"Coherence":[1],"Tomography":[2],"(OCT)":[3],"is":[4,38,139,171,180],"a":[5,84],"popular":[6],"non-invasive":[7],"clinical":[8],"tool":[9],"for":[10],"the":[11,103,119,133,140,153,159,174,183,192,202],"diagnosis":[12,226],"of":[13,20,32,68,111,118,135,158],"ocular":[14,21],"diseases":[15],"that":[16,182],"provides":[17],"micron-scale":[18],"images":[19,49,223],"pathology":[22],"in":[23,26,109,220,224],"vivo":[24],"and":[25,43,55,72,82,92,113,169,198,217,227],"real-time.":[27],"The":[28,97,116,156],"cross-sectional":[29],"OCT":[30,48,88,120,222],"B-scan":[31],"Temporal-SuperiorNasal-Inferior-Temporal":[33],"(TSNIT)":[34],"peripapillary":[35],"retinal":[36,69,213],"profile":[37],"widely":[39],"used":[40,209],"to":[41,64,101,152,191,210],"diagnose":[42],"monitor":[44],"glaucoma.":[45],"However,":[46],"raw":[47],"can":[50,62],"be":[51,208],"marred":[52],"by":[53],"noise":[54,124],"artifacts,":[56,91],"especially":[57],"vitreoretinal":[58],"interface":[59],"opacity:":[60],"this":[61,78,138,204],"lead":[63],"segmentation":[65,215],"error,":[66],"misinterpretation":[67],"thickness":[70],"measurements":[71],"possibly":[73],"inappropriate":[74],"glaucoma":[75,225],"management.":[76],"In":[77,201],"study,":[79],"we":[80],"designed":[81],"trained":[83],"U-Net":[85,98,185,205],"model":[86,161,186,206],"on":[87,162,195],"B-scans":[89],"with":[90,106,122,126,173],"their":[93],"corresponding":[94],"artifact-free":[95],"B-scans\u2019.":[96],"was":[99],"able":[100],"remove":[102],"artifacts":[104,127],"successfully":[105],"better":[107,188],"performance":[108,157],"terms":[110],"PSNR":[112],"SSIM":[114],"values.":[115],"SNR":[117],"scans":[121],"speckle":[123],"associated":[125],"has":[128,149],"also":[129],"been":[130,150],"improved.":[131],"To":[132],"best":[134],"our":[136],"knowledge,":[137],"first":[141],"study":[142],"where":[143],"automated":[144],"vitreous":[145],"opacity":[146],"artifact":[147],"removal":[148],"applied":[151],"TSNIT":[154],"profile.":[155],"U-net":[160],"measures":[163],"such":[164],"as":[165,189],"PSNR,":[166],"SSIM,":[167],"MAE,":[168],"MSE":[170],"compared":[172,190],"state-of-the-art":[175],"image":[176],"denoising":[177],"models.":[178],"It":[179],"observed":[181],"proposed":[184],"performs":[187],"other":[193],"models":[194],"both":[196],"parametric":[197],"visual":[199],"evaluations.":[200],"future,":[203],"could":[207],"solve":[211],"automatic":[212],"layer":[214],"errors":[216],"assist":[218],"clinicians":[219],"interpreting":[221],"monitoring.":[228]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}