{"id":"https://openalex.org/W2100380939","doi":"https://doi.org/10.1109/icip.2007.4379885","title":"Segmentation of Retinal Vessels Using Nonlinear Projections","display_name":"Segmentation of Retinal Vessels Using Nonlinear Projections","publication_year":2007,"publication_date":"2007-01-01","ids":{"openalex":"https://openalex.org/W2100380939","doi":"https://doi.org/10.1109/icip.2007.4379885","mag":"2100380939"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2007.4379885","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2007.4379885","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE International Conference on Image Processing","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100714508","display_name":"Yongping Zhang","orcid":"https://orcid.org/0000-0003-2267-6434"},"institutions":[{"id":"https://openalex.org/I159389169","display_name":"Ningbo University of Technology","ror":"https://ror.org/037dym702","country_code":"CN","type":"education","lineage":["https://openalex.org/I159389169"]},{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["CN","SG"],"is_corresponding":false,"raw_author_name":"Yongping Zhang","raw_affiliation_strings":["School of Computing, National University of Singapore, Singapore","School of Electronic and Information Engineering, Ningbo University of Technology, Ningbo, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing, National University of Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]},{"raw_affiliation_string":"School of Electronic and Information Engineering, Ningbo University of Technology, Ningbo, China","institution_ids":["https://openalex.org/I159389169"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051209739","display_name":"Wynne Hsu","orcid":"https://orcid.org/0000-0002-4142-8893"},"institutions":[{"id":"https://openalex.org/I159389169","display_name":"Ningbo University of Technology","ror":"https://ror.org/037dym702","country_code":"CN","type":"education","lineage":["https://openalex.org/I159389169"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wynne Hsu","raw_affiliation_strings":["School of Electronic and Information Engineering, Ningbo University of Technology, Ningbo, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Ningbo University of Technology, Ningbo, China","institution_ids":["https://openalex.org/I159389169"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019988958","display_name":"Mong Li Lee","orcid":"https://orcid.org/0000-0002-9636-388X"},"institutions":[{"id":"https://openalex.org/I159389169","display_name":"Ningbo University of Technology","ror":"https://ror.org/037dym702","country_code":"CN","type":"education","lineage":["https://openalex.org/I159389169"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mong Li Lee","raw_affiliation_strings":["School of Electronic and Information Engineering, Ningbo University of Technology, Ningbo, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Ningbo University of Technology, Ningbo, China","institution_ids":["https://openalex.org/I159389169"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"20","issue":null,"first_page":"V ","last_page":" 541"},"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":0.9954000115394592,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9876000285148621,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6728394627571106},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6671883463859558},{"id":"https://openalex.org/keywords/thresholding","display_name":"Thresholding","score":0.6650344133377075},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6455885171890259},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5785125494003296},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.5541825294494629},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5506052374839783},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.5399158000946045},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.5364516377449036},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4814257323741913},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.4773400127887726},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4500765800476074},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.41007739305496216},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3858986496925354},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.35254913568496704}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6728394627571106},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6671883463859558},{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.6650344133377075},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6455885171890259},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5785125494003296},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.5541825294494629},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5506052374839783},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.5399158000946045},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.5364516377449036},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4814257323741913},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.4773400127887726},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4500765800476074},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.41007739305496216},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3858986496925354},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.35254913568496704},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icip.2007.4379885","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2007.4379885","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE International Conference on Image Processing","raw_type":"proceedings-article"},{"id":"pmh:oai:scholarbank.nus.edu.sg:10635/40767","is_oa":false,"landing_page_url":"http://scholarbank.nus.edu.sg/handle/10635/40767","pdf_url":null,"source":{"id":"https://openalex.org/S7407052290","display_name":"National University of Singapore","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":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Scopus","raw_type":"Conference Paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1488881187","https://openalex.org/W1579287100","https://openalex.org/W2005089986","https://openalex.org/W2008383963","https://openalex.org/W2040378863","https://openalex.org/W2045559171","https://openalex.org/W2049701826","https://openalex.org/W2091585872","https://openalex.org/W2092231222","https://openalex.org/W2092266133","https://openalex.org/W2100072940","https://openalex.org/W2103559027","https://openalex.org/W2105685332","https://openalex.org/W2112009428","https://openalex.org/W2115680416","https://openalex.org/W2123303981","https://openalex.org/W2144512030","https://openalex.org/W2145305441","https://openalex.org/W2150769593","https://openalex.org/W2152410740","https://openalex.org/W2159356186","https://openalex.org/W2163344010","https://openalex.org/W2166524747","https://openalex.org/W2168932490","https://openalex.org/W2170092083","https://openalex.org/W6681323302"],"related_works":["https://openalex.org/W2138983844","https://openalex.org/W1968965685","https://openalex.org/W2012792772","https://openalex.org/W2356573839","https://openalex.org/W2111883783","https://openalex.org/W2009028679","https://openalex.org/W2357424838","https://openalex.org/W2356903262","https://openalex.org/W4237142086","https://openalex.org/W2327601824"],"abstract_inverted_index":{"An":[0],"automated":[1],"method":[2],"for":[3,34,104],"blood":[4],"vessel":[5,24,35,74],"segmentation":[6],"is":[7,59],"presented":[8],"in":[9,39,68],"this":[10],"paper.":[11],"The":[12,79],"approach":[13,62],"uses":[14,71],"the":[15,21,46,53,88,91,105],"nonlinear":[16],"orthogonal":[17],"projection":[18],"to":[19],"capture":[20],"features":[22],"of":[23,42,48,55],"networks,":[25],"and":[26,90],"derives":[27],"a":[28,40],"novel":[29],"local":[30],"adaptive":[31],"thresholding":[32],"algorithm":[33,80],"detection.":[36],"By":[37,93],"embedding":[38],"kind":[41],"image":[43],"decomposition":[44],"model,":[45],"selection":[47],"system":[49],"parameter":[50],"which":[51],"reflects":[52],"size":[54],"concerned":[56],"convex":[57],"set":[58],"examined.":[60],"This":[61],"differs":[63],"from":[64],"previously":[65],"known":[66],"methods":[67],"that":[69],"it":[70],"matched":[72],"filtering,":[73],"tracking":[75],"or":[76],"supervised":[77],"methods.":[78],"was":[81],"tested":[82],"on":[83],"two":[84],"publicly":[85],"available":[86],"databases:":[87],"DRIVE":[89],"STARE.":[92],"comparison":[94],"with":[95],"hand-labeled":[96],"ground":[97],"truth,":[98],"good":[99],"average":[100],"accuracies":[101],"are":[102],"achieved":[103],"both":[106],"databases.":[107]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}