{"id":"https://openalex.org/W2898829509","doi":"https://doi.org/10.1109/embc.2018.8512998","title":"OCT Fluid Segmentation using Graph Shortest Path and Convolutional Neural Network","display_name":"OCT Fluid Segmentation using Graph Shortest Path and Convolutional Neural Network","publication_year":2018,"publication_date":"2018-07-01","ids":{"openalex":"https://openalex.org/W2898829509","doi":"https://doi.org/10.1109/embc.2018.8512998","mag":"2898829509","pmid":"https://pubmed.ncbi.nlm.nih.gov/30441124"},"language":"en","primary_location":{"id":"doi:10.1109/embc.2018.8512998","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc.2018.8512998","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5028952550","display_name":"Abdolreza Rashno","orcid":"https://orcid.org/0000-0003-0014-5050"},"institutions":[{"id":"https://openalex.org/I3123046734","display_name":"Lorestan University","ror":"https://ror.org/051bats05","country_code":"IR","type":"education","lineage":["https://openalex.org/I3123046734"]}],"countries":["IR"],"is_corresponding":true,"raw_author_name":"Abdolreza Rashno","raw_affiliation_strings":["Department of Computer Engineering, Engineering Faculty, Lorestan University, Khorramabad, Iran"],"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Engineering Faculty, Lorestan University, Khorramabad, Iran","institution_ids":["https://openalex.org/I3123046734"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089355316","display_name":"Dara D. Koozekanani","orcid":null},"institutions":[{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dara D. Koozekanani","raw_affiliation_strings":["Department of Ophthalmology and Visual Neurosciences, University of Minnesota, Minneapolis, MN, USA"],"affiliations":[{"raw_affiliation_string":"Department of Ophthalmology and Visual Neurosciences, University of Minnesota, Minneapolis, MN, USA","institution_ids":["https://openalex.org/I130238516"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007884053","display_name":"Keshab K. Parhi","orcid":"https://orcid.org/0000-0001-6543-2793"},"institutions":[{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Keshab K. Parhi","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Minnesota, Minneapolis, MN, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Minnesota, Minneapolis, MN, USA","institution_ids":["https://openalex.org/I130238516"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5028952550"],"corresponding_institution_ids":["https://openalex.org/I3123046734"],"apc_list":null,"apc_paid":null,"fwci":3.0058,"has_fulltext":false,"cited_by_count":29,"citation_normalized_percentile":{"value":0.91935955,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"2018","issue":null,"first_page":"3426","last_page":"3429"},"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/T11569","display_name":"Optical Coherence Tomography Applications","score":0.9944999814033508,"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/T10170","display_name":"Retinal Diseases and Treatments","score":0.9901000261306763,"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":0.7389460206031799},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7022188305854797},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6970310211181641},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6433417201042175},{"id":"https://openalex.org/keywords/s\u00f8rensen\u2013dice-coefficient","display_name":"S\u00f8rensen\u2013Dice coefficient","score":0.5568886399269104},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5540435314178467},{"id":"https://openalex.org/keywords/macular-degeneration","display_name":"Macular degeneration","score":0.538995087146759},{"id":"https://openalex.org/keywords/shortest-path-problem","display_name":"Shortest path problem","score":0.5273557305335999},{"id":"https://openalex.org/keywords/retinal","display_name":"Retinal","score":0.48079410195350647},{"id":"https://openalex.org/keywords/retinal-pigment-epithelium","display_name":"Retinal pigment epithelium","score":0.4700165092945099},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4558382034301758},{"id":"https://openalex.org/keywords/ophthalmology","display_name":"Ophthalmology","score":0.43062758445739746},{"id":"https://openalex.org/keywords/retina","display_name":"Retina","score":0.42217448353767395},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4160520136356354},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4115440845489502},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.3623753786087036},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.2167225480079651},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.08877509832382202},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.07764226198196411}],"concepts":[{"id":"https://openalex.org/C2778818243","wikidata":"https://www.wikidata.org/wiki/Q899552","display_name":"Optical coherence tomography","level":2,"score":0.7389460206031799},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7022188305854797},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6970310211181641},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6433417201042175},{"id":"https://openalex.org/C163892561","wikidata":"https://www.wikidata.org/wiki/Q2613728","display_name":"S\u00f8rensen\u2013Dice coefficient","level":4,"score":0.5568886399269104},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5540435314178467},{"id":"https://openalex.org/C2776403814","wikidata":"https://www.wikidata.org/wiki/Q27429789","display_name":"Macular degeneration","level":2,"score":0.538995087146759},{"id":"https://openalex.org/C22590252","wikidata":"https://www.wikidata.org/wiki/Q1058754","display_name":"Shortest path problem","level":3,"score":0.5273557305335999},{"id":"https://openalex.org/C2780827179","wikidata":"https://www.wikidata.org/wiki/Q422001","display_name":"Retinal","level":2,"score":0.48079410195350647},{"id":"https://openalex.org/C2778024200","wikidata":"https://www.wikidata.org/wiki/Q2346242","display_name":"Retinal pigment epithelium","level":3,"score":0.4700165092945099},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4558382034301758},{"id":"https://openalex.org/C118487528","wikidata":"https://www.wikidata.org/wiki/Q161437","display_name":"Ophthalmology","level":1,"score":0.43062758445739746},{"id":"https://openalex.org/C2777093970","wikidata":"https://www.wikidata.org/wiki/Q169342","display_name":"Retina","level":2,"score":0.42217448353767395},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4160520136356354},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4115440845489502},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.3623753786087036},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.2167225480079651},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.08877509832382202},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.07764226198196411},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D003930","descriptor_name":"Diabetic Retinopathy","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003930","descriptor_name":"Diabetic Retinopathy","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003930","descriptor_name":"Diabetic Retinopathy","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012160","descriptor_name":"Retina","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012160","descriptor_name":"Retina","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012160","descriptor_name":"Retina","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012170","descriptor_name":"Retinal Vein Occlusion","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012170","descriptor_name":"Retinal Vein Occlusion","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012170","descriptor_name":"Retinal Vein Occlusion","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D041623","descriptor_name":"Tomography, Optical Coherence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D041623","descriptor_name":"Tomography, Optical Coherence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D041623","descriptor_name":"Tomography, Optical Coherence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1109/embc.2018.8512998","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc.2018.8512998","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)","raw_type":"proceedings-article"},{"id":"pmid:30441124","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/30441124","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.4300000071525574,"display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W2009195969","https://openalex.org/W2074598933","https://openalex.org/W2088320903","https://openalex.org/W2337570847","https://openalex.org/W2592517646","https://openalex.org/W2606000143","https://openalex.org/W2606534623","https://openalex.org/W2612576891","https://openalex.org/W2738381342","https://openalex.org/W2738741136","https://openalex.org/W2741765015","https://openalex.org/W2742087205","https://openalex.org/W2765684802","https://openalex.org/W2772059204","https://openalex.org/W6736450755","https://openalex.org/W6741672318","https://openalex.org/W6741709138","https://openalex.org/W6742270122"],"related_works":["https://openalex.org/W2059695076","https://openalex.org/W3199455970","https://openalex.org/W2009115348","https://openalex.org/W3025363008","https://openalex.org/W2470598750","https://openalex.org/W3171261135","https://openalex.org/W2790585032","https://openalex.org/W4200528772","https://openalex.org/W2770908101","https://openalex.org/W2002437061"],"abstract_inverted_index":{"Diagnosis":[0],"and":[1,41,48,61,76,95,100],"monitoring":[2],"of":[3,25,52,69,92,106],"retina":[4],"diseases":[5],"related":[6],"to":[7,46],"pathologies":[8],"such":[9],"as":[10],"accumulated":[11],"fluid":[12,53,56,59,115],"can":[13],"be":[14],"performed":[15],"using":[16],"optical":[17],"coherence":[18],"tomography":[19],"(OCT).":[20],"OCT":[21,67,117],"acquires":[22],"a":[23,32],"series":[24],"2D":[26],"slices":[27],"(Bscans).":[28],"This":[29],"work":[30],"presents":[31],"fully-automated":[33],"method":[34,86],"based":[35],"on":[36],"graph":[37],"shortest":[38],"path":[39],"algorithms":[40],"convolutional":[42],"neural":[43],"network":[44],"(CNN)":[45],"segment":[47],"detect":[49],"three":[50],"types":[51],"including":[54],"sub-retinal":[55],"(SRF),":[57],"intra-retinal":[58],"(IRF)":[60],"pigment":[62],"epithelium":[63],"detachment":[64],"(PED)":[65],"in":[66,97,113,116],"Bscans":[68],"subjects":[70],"with":[71],"age-related":[72],"macular":[73],"degeneration":[74],"(AMD)":[75],"retinal":[77],"vein":[78],"occlusion":[79],"(RVO)":[80],"or":[81],"diabetic":[82],"retinopathy.":[83],"The":[84,104],"proposed":[85,108],"achieves":[87],"an":[88],"average":[89],"dice":[90],"coefficient":[91],"76.44%,":[93],"92.25%":[94],"82.14%":[96],"Cirrus,":[98],"Spectralis":[99],"Topcon":[101],"datasets,":[102],"respectively.":[103],"effectiveness":[105],"the":[107,120],"methods":[109],"was":[110],"also":[111],"demonstrated":[112],"segmenting":[114],"images":[118],"from":[119],"2017":[121],"Retouch":[122],"challenge.":[123]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":8}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2018-11-09T00:00:00"}