{"id":"https://openalex.org/W2893610713","doi":"https://doi.org/10.15439/2018f127","title":"Retinal Blood Vessel Segmentation Based on Multi-Scale Deep Learning","display_name":"Retinal Blood Vessel Segmentation Based on Multi-Scale Deep Learning","publication_year":2018,"publication_date":"2018-09-26","ids":{"openalex":"https://openalex.org/W2893610713","doi":"https://doi.org/10.15439/2018f127","mag":"2893610713"},"language":"en","primary_location":{"id":"doi:10.15439/2018f127","is_oa":true,"landing_page_url":"https://doi.org/10.15439/2018f127","pdf_url":"https://annals-csis.org/proceedings/2018/drp/pdf/127.pdf","source":{"id":"https://openalex.org/S4220651875","display_name":"Annals of Computer Science and Information Systems","issn_l":"2300-5963","issn":["2300-5963"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":"https://openalex.org/P4310317484","host_organization_name":"Polskie Towarzystwo Informatyczne","host_organization_lineage":["https://openalex.org/P4310317484"],"host_organization_lineage_names":["Polskie Towarzystwo Informatyczne"],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Annals of Computer Science and Information Systems","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://annals-csis.org/proceedings/2018/drp/pdf/127.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100351484","display_name":"Ming Li","orcid":"https://orcid.org/0000-0002-9242-7735"},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ming Li","raw_affiliation_strings":["Information Science and Technology College, Dalian Maritime University Dalian, 116026, China"],"affiliations":[{"raw_affiliation_string":"Information Science and Technology College, Dalian Maritime University Dalian, 116026, China","institution_ids":["https://openalex.org/I43313876"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080243324","display_name":"Qingbo Yin","orcid":"https://orcid.org/0000-0002-6320-0283"},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingbo Yin","raw_affiliation_strings":["Information Science and Technology College, Dalian Maritime University Dalian, 116026, China,"],"affiliations":[{"raw_affiliation_string":"Information Science and Technology College, Dalian Maritime University Dalian, 116026, China,","institution_ids":["https://openalex.org/I43313876"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052104124","display_name":"Mingyu Lu","orcid":"https://orcid.org/0000-0002-8663-9870"},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingyu Lu","raw_affiliation_strings":["Information Science and Technology College, Dalian Maritime University Dalian, 116026, China,"],"affiliations":[{"raw_affiliation_string":"Information Science and Technology College, Dalian Maritime University Dalian, 116026, China,","institution_ids":["https://openalex.org/I43313876"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100351484"],"corresponding_institution_ids":["https://openalex.org/I43313876"],"apc_list":null,"apc_paid":null,"fwci":11.1204,"has_fulltext":true,"cited_by_count":36,"citation_normalized_percentile":{"value":0.99275362,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"15","issue":null,"first_page":"117","last_page":"123"},"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":0.9940000176429749,"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":0.9872999787330627,"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/segmentation","display_name":"Segmentation","score":0.8303333520889282},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.8276199698448181},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7844369411468506},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7610985040664673},{"id":"https://openalex.org/keywords/fundus","display_name":"Fundus (uterus)","score":0.7281514406204224},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6663455963134766},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5564447641372681},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5058040618896484},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.46706539392471313},{"id":"https://openalex.org/keywords/ophthalmology","display_name":"Ophthalmology","score":0.12080013751983643},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.11733132600784302}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.8303333520889282},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8276199698448181},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7844369411468506},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7610985040664673},{"id":"https://openalex.org/C2776391266","wikidata":"https://www.wikidata.org/wiki/Q9612","display_name":"Fundus (uterus)","level":2,"score":0.7281514406204224},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6663455963134766},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5564447641372681},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5058040618896484},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.46706539392471313},{"id":"https://openalex.org/C118487528","wikidata":"https://www.wikidata.org/wiki/Q161437","display_name":"Ophthalmology","level":1,"score":0.12080013751983643},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.11733132600784302}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.15439/2018f127","is_oa":true,"landing_page_url":"https://doi.org/10.15439/2018f127","pdf_url":"https://annals-csis.org/proceedings/2018/drp/pdf/127.pdf","source":{"id":"https://openalex.org/S4220651875","display_name":"Annals of Computer Science and Information Systems","issn_l":"2300-5963","issn":["2300-5963"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":"https://openalex.org/P4310317484","host_organization_name":"Polskie Towarzystwo Informatyczne","host_organization_lineage":["https://openalex.org/P4310317484"],"host_organization_lineage_names":["Polskie Towarzystwo Informatyczne"],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Annals of Computer Science and Information Systems","raw_type":"proceedings-article"},{"id":"pmh:oai:doaj.org/article:2274477dec6742cba8589b145cec8472","is_oa":true,"landing_page_url":"https://doaj.org/article/2274477dec6742cba8589b145cec8472","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Annals of computer science and information systems, Vol 15, Pp 117-123 (2018)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.15439/2018f127","is_oa":true,"landing_page_url":"https://doi.org/10.15439/2018f127","pdf_url":"https://annals-csis.org/proceedings/2018/drp/pdf/127.pdf","source":{"id":"https://openalex.org/S4220651875","display_name":"Annals of Computer Science and Information Systems","issn_l":"2300-5963","issn":["2300-5963"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":"https://openalex.org/P4310317484","host_organization_name":"Polskie Towarzystwo Informatyczne","host_organization_lineage":["https://openalex.org/P4310317484"],"host_organization_lineage_names":["Polskie Towarzystwo Informatyczne"],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Annals of Computer Science and Information Systems","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.7699999809265137,"id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2893610713.pdf","grobid_xml":"https://content.openalex.org/works/W2893610713.grobid-xml"},"referenced_works_count":26,"referenced_works":["https://openalex.org/W165417043","https://openalex.org/W2033723371","https://openalex.org/W2036989445","https://openalex.org/W2044880603","https://openalex.org/W2073244572","https://openalex.org/W2082571018","https://openalex.org/W2084559491","https://openalex.org/W2109037308","https://openalex.org/W2112783556","https://openalex.org/W2115680416","https://openalex.org/W2145305441","https://openalex.org/W2159386181","https://openalex.org/W2162426307","https://openalex.org/W2163344010","https://openalex.org/W2163605009","https://openalex.org/W2170092083","https://openalex.org/W2297761292","https://openalex.org/W2404019942","https://openalex.org/W2433259561","https://openalex.org/W2436226714","https://openalex.org/W2463610651","https://openalex.org/W2556022279","https://openalex.org/W2964269771","https://openalex.org/W3105842011","https://openalex.org/W4293437635","https://openalex.org/W6736469257"],"related_works":["https://openalex.org/W4293226380","https://openalex.org/W4375867731","https://openalex.org/W2374520121","https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3133861977","https://openalex.org/W2951211570","https://openalex.org/W3103566983","https://openalex.org/W2967742050","https://openalex.org/W1522196789"],"abstract_inverted_index":{"Fundus":[0],"images":[1,20],"are":[2],"one":[3,41],"of":[4,18,42,50,141],"the":[5,31,37,43,48,68,91,120,138],"main":[6,44],"methods":[7],"for":[8,59,94],"diagnosing":[9],"eye":[10,142],"diseases":[11],"in":[12,25,97],"modern":[13],"medicine.":[14],"The":[15],"vascular":[16],"segmentation":[17,51,63,134],"fundus":[19],"is":[21,40,75,126],"an":[22],"essential":[23],"step":[24],"quantitative":[26],"disease":[27],"analysis.":[28],"Based":[29],"on":[30],"previous":[32],"studies,":[33],"we":[34],"found":[35],"that":[36,46,64,79],"category":[38,102],"imbalance":[39],"reasons":[45],"restrict":[47],"improvement":[49],"accuracy.":[52],"This":[53],"paper":[54],"presents":[55],"a":[56,76,106,127],"new":[57],"method":[58,78],"supervised":[60],"retinal":[61,85],"vessel":[62,86,133],"can":[65],"effectively":[66],"solve":[67,84],"above":[69],"problems.":[70],"In":[71],"recent":[72],"years,":[73],"it":[74],"popular":[77],"using":[80,105],"deep":[81,95],"learning":[82,96],"to":[83,99,130],"segmentation.":[87],"We":[88],"have":[89,118],"improved":[90],"loss":[92],"function":[93],"order":[98],"better":[100],"handle":[101],"imbalances.":[103],"By":[104],"multi-scale":[107],"convolutional":[108],"neural":[109],"network":[110],"structure":[111],"and":[112,135],"label":[113],"processing":[114],"approach,":[115],"our":[116],"results":[117],"reached":[119],"most":[121],"advanced":[122],"level.":[123],"Our":[124],"approach":[125],"meaningful":[128],"attempt":[129],"improve":[131,137],"blood":[132],"further":[136],"diagnostic":[139],"level":[140],"diseases.":[143]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":11},{"year":2019,"cited_by_count":6}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}