{"id":"https://openalex.org/W4220867402","doi":"https://doi.org/10.1117/12.2611859","title":"Automated macular OCT retinal surface segmentation in cases of severe glaucoma using deep learning","display_name":"Automated macular OCT retinal surface segmentation in cases of severe glaucoma using deep learning","publication_year":2022,"publication_date":"2022-03-31","ids":{"openalex":"https://openalex.org/W4220867402","doi":"https://doi.org/10.1117/12.2611859"},"language":"en","primary_location":{"id":"doi:10.1117/12.2611859","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2611859","pdf_url":null,"source":{"id":"https://openalex.org/S4363607561","display_name":"Medical Imaging 2022: Image Processing","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":"Medical Imaging 2022: Image Processing","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":"https://openalex.org/A5035823220","display_name":"Hui Xie","orcid":"https://orcid.org/0000-0003-3328-7135"},"institutions":[{"id":"https://openalex.org/I126307644","display_name":"University of Iowa","ror":"https://ror.org/036jqmy94","country_code":"US","type":"education","lineage":["https://openalex.org/I126307644"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Hui Xie","raw_affiliation_strings":["The Univ. of Iowa (United States)"],"affiliations":[{"raw_affiliation_string":"The Univ. of Iowa (United States)","institution_ids":["https://openalex.org/I126307644"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045926452","display_name":"Jui-Kai Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jui-Kai Wang","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026435996","display_name":"Randy H. Kardon","orcid":"https://orcid.org/0000-0002-3173-7123"},"institutions":[{"id":"https://openalex.org/I4210132647","display_name":"Iowa City VA Health Care System","ror":"https://ror.org/04hgm3062","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1322918889","https://openalex.org/I2799886695","https://openalex.org/I4210132647","https://openalex.org/I4210159720"]},{"id":"https://openalex.org/I126307644","display_name":"University of Iowa","ror":"https://ror.org/036jqmy94","country_code":"US","type":"education","lineage":["https://openalex.org/I126307644"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Randy H. Kardon","raw_affiliation_strings":["The Iowa City VA Ctr. for the Prevention and Treatment of Visual Loss (United States)","The Univ. of Iowa (United States)"],"affiliations":[{"raw_affiliation_string":"The Iowa City VA Ctr. for the Prevention and Treatment of Visual Loss (United States)","institution_ids":["https://openalex.org/I4210132647"]},{"raw_affiliation_string":"The Univ. of Iowa (United States)","institution_ids":["https://openalex.org/I126307644"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032968409","display_name":"Mona K. Garvin","orcid":"https://orcid.org/0000-0003-3299-3150"},"institutions":[{"id":"https://openalex.org/I4210132647","display_name":"Iowa City VA Health Care System","ror":"https://ror.org/04hgm3062","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1322918889","https://openalex.org/I2799886695","https://openalex.org/I4210132647","https://openalex.org/I4210159720"]},{"id":"https://openalex.org/I126307644","display_name":"University of Iowa","ror":"https://ror.org/036jqmy94","country_code":"US","type":"education","lineage":["https://openalex.org/I126307644"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mona K. Garvin","raw_affiliation_strings":["The Iowa City VA Ctr. for the Prevention and Treatment of Visual Loss (United States)","The Univ. of Iowa (United States)"],"affiliations":[{"raw_affiliation_string":"The Iowa City VA Ctr. for the Prevention and Treatment of Visual Loss (United States)","institution_ids":["https://openalex.org/I4210132647"]},{"raw_affiliation_string":"The Univ. of Iowa (United States)","institution_ids":["https://openalex.org/I126307644"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101702310","display_name":"Xiaodong Wu","orcid":"https://orcid.org/0000-0002-8005-6738"},"institutions":[{"id":"https://openalex.org/I126307644","display_name":"University of Iowa","ror":"https://ror.org/036jqmy94","country_code":"US","type":"education","lineage":["https://openalex.org/I126307644"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiaodong Wu","raw_affiliation_strings":["The Univ. of Iowa (United States)"],"affiliations":[{"raw_affiliation_string":"The Univ. of Iowa (United States)","institution_ids":["https://openalex.org/I126307644"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5035823220"],"corresponding_institution_ids":["https://openalex.org/I126307644"],"apc_list":null,"apc_paid":null,"fwci":0.224,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.36731028,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"11367","issue":null,"first_page":"34","last_page":"34"},"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/T10250","display_name":"Glaucoma and retinal disorders","score":0.9997000098228455,"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/T11569","display_name":"Optical Coherence Tomography Applications","score":0.9980000257492065,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7322095632553101},{"id":"https://openalex.org/keywords/optical-coherence-tomography","display_name":"Optical coherence tomography","score":0.7315589189529419},{"id":"https://openalex.org/keywords/glaucoma","display_name":"Glaucoma","score":0.723882794380188},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7090682983398438},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6900124549865723},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5746791362762451},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.470064252614975},{"id":"https://openalex.org/keywords/retinal","display_name":"Retinal","score":0.4643996059894562},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4415295720100403},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40346401929855347},{"id":"https://openalex.org/keywords/ophthalmology","display_name":"Ophthalmology","score":0.15879908204078674},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.12006521224975586}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7322095632553101},{"id":"https://openalex.org/C2778818243","wikidata":"https://www.wikidata.org/wiki/Q899552","display_name":"Optical coherence tomography","level":2,"score":0.7315589189529419},{"id":"https://openalex.org/C2778527774","wikidata":"https://www.wikidata.org/wiki/Q159701","display_name":"Glaucoma","level":2,"score":0.723882794380188},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7090682983398438},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6900124549865723},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5746791362762451},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.470064252614975},{"id":"https://openalex.org/C2780827179","wikidata":"https://www.wikidata.org/wiki/Q422001","display_name":"Retinal","level":2,"score":0.4643996059894562},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4415295720100403},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40346401929855347},{"id":"https://openalex.org/C118487528","wikidata":"https://www.wikidata.org/wiki/Q161437","display_name":"Ophthalmology","level":1,"score":0.15879908204078674},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.12006521224975586}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2611859","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2611859","pdf_url":null,"source":{"id":"https://openalex.org/S4363607561","display_name":"Medical Imaging 2022: Image Processing","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":"Medical Imaging 2022: Image Processing","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":18,"referenced_works":["https://openalex.org/W2015159529","https://openalex.org/W2127318120","https://openalex.org/W2160605010","https://openalex.org/W2164774194","https://openalex.org/W2608054125","https://openalex.org/W2772059204","https://openalex.org/W2785212165","https://openalex.org/W2888905826","https://openalex.org/W2949122205","https://openalex.org/W2974844314","https://openalex.org/W2985448321","https://openalex.org/W3040155073","https://openalex.org/W3092762369","https://openalex.org/W3104370314","https://openalex.org/W4233359448","https://openalex.org/W4296580612","https://openalex.org/W6764327745","https://openalex.org/W6780380834"],"related_works":["https://openalex.org/W2082087664","https://openalex.org/W2323668004","https://openalex.org/W2070104888","https://openalex.org/W2348498086","https://openalex.org/W3093461874","https://openalex.org/W2063232638","https://openalex.org/W2500847435","https://openalex.org/W1014602304","https://openalex.org/W1033756233","https://openalex.org/W4308993413"],"abstract_inverted_index":{"Glaucoma":[0],"is":[1,73],"one":[2],"of":[3,7,32,122,170,180],"the":[4,30,60,126,158,195,204,229,233],"leading":[5],"causes":[6],"permanent":[8],"blindness":[9],"due":[10,79],"to":[11,43,80,84,131,163,166,187,194],"optic":[12],"nerve":[13],"damage.":[14],"Optical":[15],"coherence":[16],"tomography":[17],"(OCT)":[18],"has":[19],"become":[20,64],"an":[21,74],"important":[22],"clinical":[23],"tool":[24],"for":[25,147],"assessing":[26],"structural":[27],"damage":[28],"from":[29,88,105,125,207],"loss":[31],"neurons.":[33],"Traditional":[34],"2D":[35],"and":[36,66,120,160,177,210,243],"3D":[37],"methods":[38,51,235],"have":[39,63],"been":[40],"successfully":[41],"applied":[42],"quantify":[44],"inner":[45],"retinal":[46,61,100,215],"layer":[47],"thickness.":[48],"However,":[49,108],"these":[50,136],"show":[52],"less":[53],"reliable":[54],"segmentation":[55,92,113],"in":[56,102,143,173,236],"severe":[57,227],"glaucoma":[58],"when":[59],"layers":[62],"thin":[65],"violate":[67],"algorithm":[68],"assumptions.":[69],"Deep":[70],"learning":[71],"(DL)":[72],"alternative":[75],"image":[76,192],"analysis":[77],"approach":[78,231],"its":[81],"powerful":[82],"ability":[83],"extract":[85],"features":[86,171],"directly":[87],"data.":[89],"State-of-the-art":[90],"DL":[91,165],"approaches":[93],"can":[94],"achieve":[95],"sub-pixel":[96],"accuracy":[97],"at":[98,157,246],"multiple":[99,247],"surfaces":[101,206],"OCT":[103],"scans":[104],"normal":[106],"eyes.":[107],"limitations,":[109,137],"such":[110],"as":[111,116],"spike-like":[112],"errors":[114],"(showing":[115],"high":[117],"Hausdorff":[118,244],"distances)":[119],"lack":[121],"contextual":[123,199],"information":[124],"input":[127,191],"image,":[128],"still":[129],"need":[130],"be":[132],"improved.":[133],"To":[134],"address":[135],"three":[138,182],"novel":[139],"solutions":[140],"were":[141,185],"proposed":[142,230],"this":[144],"study.":[145],"First,":[146],"data":[148],"augmentation,":[149],"we":[150,202],"reconstructed":[151],"more":[152],"B-scans":[153,184,212],"by":[154],"reassembling":[155],"A-scans":[156],"vertical":[159,211],"jittered":[161],"planes":[162],"expose":[164],"a":[167,189],"greater":[168],"variety":[169],"encountered":[172],"OCT.":[174],"Second,":[175],"smoothed":[176],"contrast-enhanced":[178],"images":[179],"each":[181],"adjacent":[183],"concatenated":[186],"provide":[188],"six-channel":[190],"stack":[193],"neural":[196],"network":[197],"with":[198,226],"information.":[200],"Finally,":[201],"merged":[203],"predicted":[205],"both":[208],"horizontal":[209],"while":[213],"maintaining":[214],"topological":[216],"order.":[217],"In":[218],"our":[219],"independently":[220],"tested":[221],"dataset,":[222],"which":[223],"included":[224],"eyes":[225],"glaucoma,":[228],"outperformed":[232],"state-of-the-art":[234],"mean":[237],"absolute":[238],"surface":[239],"distances,":[240],"Dice":[241],"coefficients,":[242],"distance":[245],"surfaces.":[248]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}