{"id":"https://openalex.org/W2552852524","doi":"https://doi.org/10.1142/s0218001417540088","title":"Retinal Vessel Segmentation Combined Two-Dimensional Entropy Method and Double Populations Genetic Algorithm","display_name":"Retinal Vessel Segmentation Combined Two-Dimensional Entropy Method and Double Populations Genetic Algorithm","publication_year":2016,"publication_date":"2016-11-23","ids":{"openalex":"https://openalex.org/W2552852524","doi":"https://doi.org/10.1142/s0218001417540088","mag":"2552852524"},"language":"en","primary_location":{"id":"doi:10.1142/s0218001417540088","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001417540088","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","raw_type":"journal-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/A5100425758","display_name":"Li Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210117337","display_name":"Neijiang Normal University","ror":"https://ror.org/02bc8tz70","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210117337"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Li Zhang","raw_affiliation_strings":["Data Recovery Key Laboratory of Sichuan Province, Neijiang Normal University, Neijiang 641110, P. R. China","Numerical Simulation Key Laboratory of Sichuan Province, Neijiang Normal University, Neijiang 641110, P. R. China"],"affiliations":[{"raw_affiliation_string":"Data Recovery Key Laboratory of Sichuan Province, Neijiang Normal University, Neijiang 641110, P. R. China","institution_ids":["https://openalex.org/I4210117337"]},{"raw_affiliation_string":"Numerical Simulation Key Laboratory of Sichuan Province, Neijiang Normal University, Neijiang 641110, P. R. China","institution_ids":["https://openalex.org/I4210117337"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101033801","display_name":"Kai-Teng Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210117337","display_name":"Neijiang Normal University","ror":"https://ror.org/02bc8tz70","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210117337"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kai-Teng Wu","raw_affiliation_strings":["Data Recovery Key Laboratory of Sichuan Province, Neijiang Normal University, Neijiang 641110, P. R. China","Numerical Simulation Key Laboratory of Sichuan Province, Neijiang Normal University, Neijiang 641110, P. R. China"],"affiliations":[{"raw_affiliation_string":"Data Recovery Key Laboratory of Sichuan Province, Neijiang Normal University, Neijiang 641110, P. R. China","institution_ids":["https://openalex.org/I4210117337"]},{"raw_affiliation_string":"Numerical Simulation Key Laboratory of Sichuan Province, Neijiang Normal University, Neijiang 641110, P. R. China","institution_ids":["https://openalex.org/I4210117337"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025376095","display_name":"Tao Zhang","orcid":"https://orcid.org/0000-0002-2801-8216"},"institutions":[{"id":"https://openalex.org/I4210117337","display_name":"Neijiang Normal University","ror":"https://ror.org/02bc8tz70","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210117337"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Zhang","raw_affiliation_strings":["Numerical Simulation Key Laboratory of Sichuan Province, Neijiang Normal University, Neijiang 641110, P. R. China"],"affiliations":[{"raw_affiliation_string":"Numerical Simulation Key Laboratory of Sichuan Province, Neijiang Normal University, Neijiang 641110, P. R. China","institution_ids":["https://openalex.org/I4210117337"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100425758"],"corresponding_institution_ids":["https://openalex.org/I4210117337"],"apc_list":null,"apc_paid":null,"fwci":0.5554,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.72472986,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"31","issue":"05","first_page":"1754008","last_page":"1754008"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11438","display_name":"Retinal Imaging and Analysis","score":0.9998999834060669,"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":0.9998999834060669,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9868999719619751,"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/T12874","display_name":"Digital Imaging for Blood Diseases","score":0.9739999771118164,"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":0.6191434264183044},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5977649688720703},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5901690125465393},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.5316491723060608},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48176977038383484},{"id":"https://openalex.org/keywords/smoothness","display_name":"Smoothness","score":0.46097058057785034},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.448916494846344},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.43450161814689636},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34362369775772095},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3072725534439087},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.12321275472640991}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6191434264183044},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5977649688720703},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5901690125465393},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.5316491723060608},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48176977038383484},{"id":"https://openalex.org/C102634674","wikidata":"https://www.wikidata.org/wiki/Q868473","display_name":"Smoothness","level":2,"score":0.46097058057785034},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.448916494846344},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.43450161814689636},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34362369775772095},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3072725534439087},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.12321275472640991},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0218001417540088","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001417540088","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4001247865","display_name":null,"funder_award_id":"16ZA0310","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4403934738","display_name":null,"funder_award_id":"13TD0001","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6174955220","display_name":null,"funder_award_id":"11502121","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7030347641","display_name":null,"funder_award_id":"14CZ02","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322970","display_name":"Education Department of Sichuan Province","ror":"https://ror.org/05s1c4z27"},{"id":"https://openalex.org/F4320322990","display_name":"Sichuan University","ror":"https://ror.org/011ashp19"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1969613517","https://openalex.org/W2027091505","https://openalex.org/W2036729800","https://openalex.org/W2083970667","https://openalex.org/W2095379941","https://openalex.org/W2115680416","https://openalex.org/W2133059825","https://openalex.org/W2166524747","https://openalex.org/W2169249773","https://openalex.org/W2253599057","https://openalex.org/W2344065519","https://openalex.org/W2359555907","https://openalex.org/W2368273968","https://openalex.org/W2372366059","https://openalex.org/W2388066533"],"related_works":["https://openalex.org/W2393022482","https://openalex.org/W2377346130","https://openalex.org/W2361092061","https://openalex.org/W34817178","https://openalex.org/W2319775965","https://openalex.org/W2357314690","https://openalex.org/W2795976185","https://openalex.org/W2191886813","https://openalex.org/W2163394011","https://openalex.org/W1522196789"],"abstract_inverted_index":{"In":[0],"order":[1],"to":[2,24,45],"overcome":[3],"the":[4,17,59,66],"disadvantages":[5],"such":[6],"as":[7],"finite":[8],"sampling":[9],"space":[10],"and":[11,30,51,54,79],"local":[12],"optimal":[13],"of":[14,20,56],"genetic":[15,28],"algorithm,":[16],"main":[18],"objective":[19],"this":[21],"paper":[22],"is":[23,43],"combine":[25],"double":[26],"populations":[27],"algorithm":[29,68],"two-dimensional":[31],"maximum":[32],"entropy":[33],"threshold":[34],"method":[35,42],"for":[36],"retinal":[37,47],"vessels":[38,48,57],"segmentation.":[39],"The":[40],"proposed":[41],"able":[44],"segment":[46],"image":[49],"accurately":[50],"keep":[52],"connectivity":[53],"smoothness":[55],"through":[58],"numerical":[60],"experiments.":[61],"Numerical":[62],"results":[63],"show":[64],"that":[65],"combined":[67],"has":[69],"faster":[70],"convergence":[71],"speed,":[72],"higher":[73],"calculation":[74],"accuracy,":[75],"stronger":[76],"noise":[77],"resistance":[78],"better":[80],"performance":[81],"in":[82],"reserving":[83],"pathological":[84],"information":[85],"compared":[86],"with":[87],"other":[88],"algorithms.":[89]},"counts_by_year":[{"year":2017,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}