{"id":"https://openalex.org/W2559126051","doi":"https://doi.org/10.1109/cec.2016.7744277","title":"Evolutionary algorithms for classification of mammographie densities using local binary patterns and statistical features","display_name":"Evolutionary algorithms for classification of mammographie densities using local binary patterns and statistical features","publication_year":2016,"publication_date":"2016-07-01","ids":{"openalex":"https://openalex.org/W2559126051","doi":"https://doi.org/10.1109/cec.2016.7744277","mag":"2559126051"},"language":"en","primary_location":{"id":"doi:10.1109/cec.2016.7744277","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2016.7744277","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Congress on Evolutionary Computation (CEC)","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/A5009305291","display_name":"Francine Burling-Claridge","orcid":null},"institutions":[{"id":"https://openalex.org/I41156924","display_name":"Victoria University of Wellington","ror":"https://ror.org/0040r6f76","country_code":"NZ","type":"education","lineage":["https://openalex.org/I41156924"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Francine Burling-Claridge","raw_affiliation_strings":["School of Engineering and Computer Science Victoria University of Wellington, Wellington, New Zealand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Engineering and Computer Science Victoria University of Wellington, Wellington, New Zealand","institution_ids":["https://openalex.org/I41156924"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100733262","display_name":"Muhammad Iqbal","orcid":"https://orcid.org/0000-0001-9004-5453"},"institutions":[{"id":"https://openalex.org/I41156924","display_name":"Victoria University of Wellington","ror":"https://ror.org/0040r6f76","country_code":"NZ","type":"education","lineage":["https://openalex.org/I41156924"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Muhammad Iqbal","raw_affiliation_strings":["School of Engineering and Computer Science Victoria University of Wellington, Wellington, New Zealand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Engineering and Computer Science Victoria University of Wellington, Wellington, New Zealand","institution_ids":["https://openalex.org/I41156924"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100400258","display_name":"Mengjie Zhang","orcid":"https://orcid.org/0000-0003-4463-9538"},"institutions":[{"id":"https://openalex.org/I41156924","display_name":"Victoria University of Wellington","ror":"https://ror.org/0040r6f76","country_code":"NZ","type":"education","lineage":["https://openalex.org/I41156924"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Mengjie Zhang","raw_affiliation_strings":["School of Engineering and Computer Science Victoria University of Wellington, Wellington, New Zealand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Engineering and Computer Science Victoria University of Wellington, Wellington, New Zealand","institution_ids":["https://openalex.org/I41156924"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I41156924"],"apc_list":null,"apc_paid":null,"fwci":0.9706,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.79351203,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"3847","last_page":"3854"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10885","display_name":"Gene expression and cancer classification","score":0.9950000047683716,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.970300018787384,"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/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.6878804564476013},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6407346725463867},{"id":"https://openalex.org/keywords/mammography","display_name":"Mammography","score":0.5782006978988647},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5632376670837402},{"id":"https://openalex.org/keywords/genetic-programming","display_name":"Genetic programming","score":0.5586754679679871},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5284445285797119},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5283846259117126},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.5021941661834717},{"id":"https://openalex.org/keywords/local-binary-patterns","display_name":"Local binary patterns","score":0.47142642736434937},{"id":"https://openalex.org/keywords/binary-classification","display_name":"Binary classification","score":0.46648719906806946},{"id":"https://openalex.org/keywords/statistical-classification","display_name":"Statistical classification","score":0.45524734258651733},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4488098621368408},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.43346548080444336},{"id":"https://openalex.org/keywords/breast-cancer","display_name":"Breast cancer","score":0.39363741874694824},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24243533611297607},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.1547280251979828},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.10055449604988098}],"concepts":[{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.6878804564476013},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6407346725463867},{"id":"https://openalex.org/C2780472235","wikidata":"https://www.wikidata.org/wiki/Q324634","display_name":"Mammography","level":4,"score":0.5782006978988647},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5632376670837402},{"id":"https://openalex.org/C110332635","wikidata":"https://www.wikidata.org/wiki/Q629498","display_name":"Genetic programming","level":2,"score":0.5586754679679871},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5284445285797119},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5283846259117126},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.5021941661834717},{"id":"https://openalex.org/C87335442","wikidata":"https://www.wikidata.org/wiki/Q2494345","display_name":"Local binary patterns","level":4,"score":0.47142642736434937},{"id":"https://openalex.org/C66905080","wikidata":"https://www.wikidata.org/wiki/Q17005494","display_name":"Binary classification","level":3,"score":0.46648719906806946},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.45524734258651733},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4488098621368408},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.43346548080444336},{"id":"https://openalex.org/C530470458","wikidata":"https://www.wikidata.org/wiki/Q128581","display_name":"Breast cancer","level":3,"score":0.39363741874694824},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24243533611297607},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.1547280251979828},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.10055449604988098},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cec.2016.7744277","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2016.7744277","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Congress on Evolutionary Computation (CEC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5400000214576721,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W304373761","https://openalex.org/W1496714509","https://openalex.org/W1576818901","https://openalex.org/W1604274848","https://openalex.org/W1974584872","https://openalex.org/W1977314360","https://openalex.org/W1977949399","https://openalex.org/W1982141954","https://openalex.org/W2007591592","https://openalex.org/W2008088085","https://openalex.org/W2010938273","https://openalex.org/W2023131636","https://openalex.org/W2063466265","https://openalex.org/W2067706331","https://openalex.org/W2069568152","https://openalex.org/W2076053181","https://openalex.org/W2088153095","https://openalex.org/W2096886360","https://openalex.org/W2109063533","https://openalex.org/W2121238376","https://openalex.org/W2123169298","https://openalex.org/W2125321720","https://openalex.org/W2126622141","https://openalex.org/W2131489803","https://openalex.org/W2133059825","https://openalex.org/W2133898338","https://openalex.org/W2290971788","https://openalex.org/W2514575318","https://openalex.org/W2542345071","https://openalex.org/W4249572794","https://openalex.org/W4255421341","https://openalex.org/W6644579170","https://openalex.org/W6680096826","https://openalex.org/W6726088282"],"related_works":["https://openalex.org/W2086889680","https://openalex.org/W4388878085","https://openalex.org/W3153505674","https://openalex.org/W4246466849","https://openalex.org/W4388878069","https://openalex.org/W2997511728","https://openalex.org/W2525967854","https://openalex.org/W2119349310","https://openalex.org/W4312478656","https://openalex.org/W2165299150"],"abstract_inverted_index":{"Millions":[0],"of":[1,22,32,50,58,82,94,106,177],"women":[2],"are":[3],"suffering":[4],"from":[5,180],"breast":[6,33],"cancer,":[7],"which":[8],"can":[9],"be":[10],"treated":[11],"effectively":[12],"if":[13],"it":[14,38],"is":[15,20,39,152],"detected":[16],"early.":[17],"Breast":[18],"density":[19,52],"one":[21,181],"the":[23,63,165,175,191],"many":[24],"factors":[25],"that":[26,140,154],"lead":[27],"to":[28,43,145,184],"an":[29],"increased":[30],"risk":[31],"cancer":[34],"for":[35,41,71,164],"women.":[36],"However,":[37],"difficult":[40],"radiologists":[42],"provide":[44],"both":[45],"accurate":[46],"and":[47,103,116,120,132],"uniform":[48],"evaluations":[49],"different":[51,99],"levels":[53],"in":[54,62,77,109,168,172],"a":[55,91],"large":[56],"number":[57],"mammographic":[59,86,96],"images":[60],"generated":[61],"screening":[64],"process.":[65],"Various":[66],"computer":[67],"aided":[68],"diagnosis":[69],"systems":[70],"digital":[72,107],"mammograms":[73,108],"have":[74,143],"been":[75],"reported":[76],"literature,":[78],"but":[79],"very":[80],"few":[81],"them":[83],"thoroughly":[84],"investigate":[85],"densities.":[87],"This":[88],"study":[89],"presents":[90],"thorough":[92],"analysis":[93],"classifying":[95],"densities":[97],"using":[98],"local":[100,161],"binary":[101,162],"patterns":[102,163],"statistical":[104,155],"features":[105,156],"two":[110],"evolutionary":[111,141],"algorithms,":[112],"i.e.,":[113,125],"genetic":[114,173],"programming":[115],"learning":[117],"classifier":[118],"systems;":[119],"four":[121],"conventional":[122],"classification":[123],"methods,":[124],"naive":[126],"Bayes,":[127],"decision":[128],"trees,":[129],"K-nearest":[130],"neighbor,":[131],"support":[133],"vector":[134],"machines.":[135],"The":[136],"obtained":[137],"results":[138,159],"show":[139],"algorithms":[142],"potential":[144],"solve":[146],"these":[147],"challenging":[148],"real-world":[149],"tasks.":[150],"It":[151],"found":[153],"produced":[157],"better":[158],"than":[160],"experiments":[166],"conducted":[167],"this":[169],"study.":[170],"Further,":[171],"programming,":[174],"reuse":[176],"extracted":[178],"knowledge":[179],"feature":[182],"set":[183],"another":[185],"shows":[186],"statistically":[187],"significant":[188],"improvement":[189],"over":[190],"standard":[192],"approach.":[193]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":4},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}