{"id":"https://openalex.org/W2755938060","doi":"https://doi.org/10.1109/embc.2017.8036916","title":"Development of automatic retinal vessel segmentation method in fundus images via convolutional neural networks","display_name":"Development of automatic retinal vessel segmentation method in fundus images via convolutional neural networks","publication_year":2017,"publication_date":"2017-07-01","ids":{"openalex":"https://openalex.org/W2755938060","doi":"https://doi.org/10.1109/embc.2017.8036916","mag":"2755938060","pmid":"https://pubmed.ncbi.nlm.nih.gov/29059964"},"language":"en","primary_location":{"id":"doi:10.1109/embc.2017.8036916","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc.2017.8036916","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 39th 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/A5012368144","display_name":"Joonyoung Song","orcid":"https://orcid.org/0000-0002-2645-8760"},"institutions":[{"id":"https://openalex.org/I39534123","display_name":"Gwangju Institute of Science and Technology","ror":"https://ror.org/024kbgz78","country_code":"KR","type":"education","lineage":["https://openalex.org/I39534123"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Joonyoung Song","raw_affiliation_strings":["Department of Biomedical Science and Engineering (BMSE), Gwangju Institute of Science and Technology (GIST), South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biomedical Science and Engineering (BMSE), Gwangju Institute of Science and Technology (GIST), South Korea","institution_ids":["https://openalex.org/I39534123"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082495705","display_name":"Boreom Lee","orcid":"https://orcid.org/0000-0002-7233-5833"},"institutions":[{"id":"https://openalex.org/I39534123","display_name":"Gwangju Institute of Science and Technology","ror":"https://ror.org/024kbgz78","country_code":"KR","type":"education","lineage":["https://openalex.org/I39534123"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Boreom Lee","raw_affiliation_strings":["Department of Biomedical Science and Engineering (BMSE), Gwangju Institute of Science and Technology (GIST), South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biomedical Science and Engineering (BMSE), Gwangju Institute of Science and Technology (GIST), South Korea","institution_ids":["https://openalex.org/I39534123"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.4129,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.88688012,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"2017","issue":null,"first_page":"681","last_page":"684"},"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/T12874","display_name":"Digital Imaging for Blood Diseases","score":0.9955000281333923,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10250","display_name":"Glaucoma and retinal disorders","score":0.9886999726295471,"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/convolutional-neural-network","display_name":"Convolutional neural network","score":0.8035120368003845},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.799359917640686},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7779855132102966},{"id":"https://openalex.org/keywords/fundus","display_name":"Fundus (uterus)","score":0.6249638795852661},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6097052693367004},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6065439581871033},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5819273591041565},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5582218766212463},{"id":"https://openalex.org/keywords/retinal","display_name":"Retinal","score":0.5309369564056396},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4819176495075226},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4809367060661316},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4200781583786011},{"id":"https://openalex.org/keywords/ophthalmology","display_name":"Ophthalmology","score":0.11202141642570496},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.06991153955459595}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.8035120368003845},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.799359917640686},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7779855132102966},{"id":"https://openalex.org/C2776391266","wikidata":"https://www.wikidata.org/wiki/Q9612","display_name":"Fundus (uterus)","level":2,"score":0.6249638795852661},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6097052693367004},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6065439581871033},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5819273591041565},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5582218766212463},{"id":"https://openalex.org/C2780827179","wikidata":"https://www.wikidata.org/wiki/Q422001","display_name":"Retinal","level":2,"score":0.5309369564056396},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4819176495075226},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4809367060661316},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4200781583786011},{"id":"https://openalex.org/C118487528","wikidata":"https://www.wikidata.org/wiki/Q161437","display_name":"Ophthalmology","level":1,"score":0.11202141642570496},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.06991153955459595},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003936","descriptor_name":"Diagnosis, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003936","descriptor_name":"Diagnosis, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003936","descriptor_name":"Diagnosis, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005654","descriptor_name":"Fundus Oculi","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005654","descriptor_name":"Fundus Oculi","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005654","descriptor_name":"Fundus Oculi","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":"D012171","descriptor_name":"Retinal Vessels","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012171","descriptor_name":"Retinal Vessels","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012171","descriptor_name":"Retinal Vessels","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"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}],"locations_count":2,"locations":[{"id":"doi:10.1109/embc.2017.8036916","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc.2017.8036916","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)","raw_type":"proceedings-article"},{"id":"pmid:29059964","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/29059964","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":0.49000000953674316,"display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1665214252","https://openalex.org/W1836465849","https://openalex.org/W1884191083","https://openalex.org/W1973547747","https://openalex.org/W1989786678","https://openalex.org/W2018593404","https://openalex.org/W2033723371","https://openalex.org/W2034513030","https://openalex.org/W2037776979","https://openalex.org/W2045227075","https://openalex.org/W2078239496","https://openalex.org/W2095705004","https://openalex.org/W2109037308","https://openalex.org/W2116628223","https://openalex.org/W2150769593","https://openalex.org/W2157241512","https://openalex.org/W2163344010","https://openalex.org/W2167510172","https://openalex.org/W2197648668","https://openalex.org/W2253429366","https://openalex.org/W2320230300","https://openalex.org/W2418346537","https://openalex.org/W2964121744","https://openalex.org/W6631190155","https://openalex.org/W6637242042","https://openalex.org/W6638667902","https://openalex.org/W6674330103","https://openalex.org/W6684372118","https://openalex.org/W6716806468"],"related_works":["https://openalex.org/W4285411112","https://openalex.org/W2374520121","https://openalex.org/W2085033728","https://openalex.org/W2171299904","https://openalex.org/W2922442631","https://openalex.org/W2053596378","https://openalex.org/W4387265590","https://openalex.org/W1982025852","https://openalex.org/W2168523118","https://openalex.org/W2394034517"],"abstract_inverted_index":{"The":[0,54,131,146],"analysis":[1],"of":[2,7,25,35,44,57,99,128,148,167],"fundus":[3,45,87],"photograph":[4],"is":[5,30,60,135,152,162],"one":[6],"useful":[8],"diagnosis":[9,67],"tools":[10],"for":[11,51,89,141],"diverse":[12],"retinal":[13,26,38,58,91],"diseases":[14,39],"such":[15],"as":[16,32],"diabetic":[17],"retinopathy":[18],"and":[19,40,62,106,115,125],"hypertensive":[20],"retinopathy.":[21],"Specifically,":[22],"the":[23,41,74,96,149,165],"morphology":[24],"vessels":[27,59],"in":[28,37,86],"patients":[29],"used":[31],"a":[33,118,138,143],"measure":[34],"classification":[36],"automatic":[42,55,90],"processing":[43],"image":[46],"has":[47],"been":[48],"investigated":[49],"widely":[50],"diagnostic":[52],"efficiency.":[53],"segmentation":[56,80],"essential":[61],"needs":[63],"to":[64,122,164],"precede":[65],"computer-aided":[66],"system.":[68],"In":[69],"this":[70],"study,":[71],"we":[72],"propose":[73],"method":[75,151,161],"which":[76,102],"implements":[77],"patch-based":[78],"pixel-wise":[79,144],"with":[81],"convolutional":[82,104,139],"neural":[83],"networks":[84],"(CNNs)":[85],"images":[88],"vessel":[92,129],"segmentation.":[93],"We":[94,157],"construct":[95],"network":[97],"composed":[98],"several":[100],"modules":[101,114],"include":[103],"layers":[105],"upsampling":[107],"layers.":[108],"Feature":[109],"maps":[110],"are":[111],"made":[112],"by":[113,137],"concatenated":[116,132],"into":[117],"single":[119],"feature":[120,133],"map":[121,134],"capture":[123],"coarse":[124],"fine":[126],"structures":[127],"simultaneously.":[130],"followed":[136],"layer":[140],"performing":[142],"prediction.":[145],"performance":[147],"proposed":[150],"measured":[153],"on":[154],"DRIVE":[155],"dataset.":[156],"show":[158],"that":[159],"our":[160],"comparable":[163],"results":[166],"other":[168],"state-of-the-art":[169],"algorithms.":[170]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}