{"id":"https://openalex.org/W2146864539","doi":"https://doi.org/10.1109/cbms.2010.6042660","title":"A new feature descriptor derived from Hilbert space-filling curve to assist breast cancer classification","display_name":"A new feature descriptor derived from Hilbert space-filling curve to assist breast cancer classification","publication_year":2010,"publication_date":"2010-10-01","ids":{"openalex":"https://openalex.org/W2146864539","doi":"https://doi.org/10.1109/cbms.2010.6042660","mag":"2146864539"},"language":"en","primary_location":{"id":"doi:10.1109/cbms.2010.6042660","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cbms.2010.6042660","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE 23rd International Symposium on Computer-Based Medical Systems (CBMS)","raw_type":"proceedings-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/A5068910731","display_name":"Denise Guliato","orcid":null},"institutions":[{"id":"https://openalex.org/I80850581","display_name":"Universidade Federal de Uberl\u00e2ndia","ror":"https://ror.org/04x3wvr31","country_code":"BR","type":"education","lineage":["https://openalex.org/I80850581"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Denise Guliato","raw_affiliation_strings":["Faculdade de Computa\u00e7\u00e3o, INCT-MACC Medicina Assistida por Computa\u00e7\u00e3o Cient\u00edfica, Universidade Federal de Uberl\u00e2ndia, Uberlandia, Minas Gerais, Brazil","Faculdade de Computa\u00e7\u00e3o, Universidade Federal de Uberl\u00e2ndia, Av. Jo\u00e3o Naves de \u00c1vila, 2.121, Uberl\u00e2ndia, MG, Brazil, INCT-MACC Medicina Assistida, por Computa\u00e7\u00e3o Cient\u00edfica"],"affiliations":[{"raw_affiliation_string":"Faculdade de Computa\u00e7\u00e3o, INCT-MACC Medicina Assistida por Computa\u00e7\u00e3o Cient\u00edfica, Universidade Federal de Uberl\u00e2ndia, Uberlandia, Minas Gerais, Brazil","institution_ids":["https://openalex.org/I80850581"]},{"raw_affiliation_string":"Faculdade de Computa\u00e7\u00e3o, Universidade Federal de Uberl\u00e2ndia, Av. Jo\u00e3o Naves de \u00c1vila, 2.121, Uberl\u00e2ndia, MG, Brazil, INCT-MACC Medicina Assistida, por Computa\u00e7\u00e3o Cient\u00edfica","institution_ids":["https://openalex.org/I80850581"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014869491","display_name":"Walter Alexandre A. de Oliveira","orcid":null},"institutions":[{"id":"https://openalex.org/I80850581","display_name":"Universidade Federal de Uberl\u00e2ndia","ror":"https://ror.org/04x3wvr31","country_code":"BR","type":"education","lineage":["https://openalex.org/I80850581"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Walter Alexandre A. de Oliveira","raw_affiliation_strings":["Faculdade de Computa\u00e7\u00e3o, INCT-MACC Medicina Assistida por Computa\u00e7\u00e3o Cient\u00edfica, Universidade Federal de Uberl\u00e2ndia, Uberlandia, Minas Gerais, Brazil","Faculdade de Computa\u00e7\u00e3o, Universidade Federal de Uberl\u00e2ndia, Av. Jo\u00e3o Naves de \u00c1vila, 2.121, Uberl\u00e2ndia, MG, Brazil, INCT-MACC Medicina Assistida, por Computa\u00e7\u00e3o Cient\u00edfica"],"affiliations":[{"raw_affiliation_string":"Faculdade de Computa\u00e7\u00e3o, INCT-MACC Medicina Assistida por Computa\u00e7\u00e3o Cient\u00edfica, Universidade Federal de Uberl\u00e2ndia, Uberlandia, Minas Gerais, Brazil","institution_ids":["https://openalex.org/I80850581"]},{"raw_affiliation_string":"Faculdade de Computa\u00e7\u00e3o, Universidade Federal de Uberl\u00e2ndia, Av. Jo\u00e3o Naves de \u00c1vila, 2.121, Uberl\u00e2ndia, MG, Brazil, INCT-MACC Medicina Assistida, por Computa\u00e7\u00e3o Cient\u00edfica","institution_ids":["https://openalex.org/I80850581"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020611078","display_name":"Caetano Traina","orcid":"https://orcid.org/0000-0002-6625-6047"},"institutions":[{"id":"https://openalex.org/I4210131883","display_name":"Brazilian Society of Computational and Applied Mathematics","ror":"https://ror.org/03kcw4w74","country_code":"BR","type":"other","lineage":["https://openalex.org/I4210131883"]},{"id":"https://openalex.org/I134820265","display_name":"Consejo Superior de Investigaciones Cient\u00edficas","ror":"https://ror.org/02gfc7t72","country_code":"ES","type":"funder","lineage":["https://openalex.org/I134820265"]},{"id":"https://openalex.org/I17974374","display_name":"Universidade de S\u00e3o Paulo","ror":"https://ror.org/036rp1748","country_code":"BR","type":"education","lineage":["https://openalex.org/I17974374"]}],"countries":["BR","ES"],"is_corresponding":false,"raw_author_name":"Caetano Traina","raw_affiliation_strings":["ICMC-Instituto de Ci\u00eancias Matem\u00e1ticas e de Computa\u00e7\u00e3o, Universidade de S\u00e3o Paulo, Sao Paulo, Sao Paulo, Brazil","ICMC - Instituto de Ci\u00eancias, Matem\u00e1ticas e de Computa\u00e7\u00e3o, Universidade de S\u00e3o Paulo, Avenida do Trabalhador S\u00e3o-Carlense, 400, Centro, S\u00e3o Carlos, SP, Brazil"],"affiliations":[{"raw_affiliation_string":"ICMC-Instituto de Ci\u00eancias Matem\u00e1ticas e de Computa\u00e7\u00e3o, Universidade de S\u00e3o Paulo, Sao Paulo, Sao Paulo, Brazil","institution_ids":["https://openalex.org/I4210131883","https://openalex.org/I17974374"]},{"raw_affiliation_string":"ICMC - Instituto de Ci\u00eancias, Matem\u00e1ticas e de Computa\u00e7\u00e3o, Universidade de S\u00e3o Paulo, Avenida do Trabalhador S\u00e3o-Carlense, 400, Centro, S\u00e3o Carlos, SP, Brazil","institution_ids":["https://openalex.org/I134820265"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5068910731"],"corresponding_institution_ids":["https://openalex.org/I80850581"],"apc_list":null,"apc_paid":null,"fwci":1.3531,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.85203071,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"303","last_page":"308"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9991999864578247,"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":0.9991999864578247,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9975000023841858,"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":0.9775000214576721,"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/feature-extraction","display_name":"Feature extraction","score":0.618338942527771},{"id":"https://openalex.org/keywords/hilbert-curve","display_name":"Hilbert curve","score":0.6033686995506287},{"id":"https://openalex.org/keywords/receiver-operating-characteristic","display_name":"Receiver operating characteristic","score":0.5674238204956055},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.546029269695282},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5270987749099731},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5040096640586853},{"id":"https://openalex.org/keywords/breast-cancer","display_name":"Breast cancer","score":0.48624172806739807},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4592535197734833},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4518420994281769},{"id":"https://openalex.org/keywords/mammography","display_name":"Mammography","score":0.44960880279541016},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.42563390731811523},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.2957814931869507},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.23308372497558594},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.20418131351470947},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.14022639393806458},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.09429165720939636}],"concepts":[{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.618338942527771},{"id":"https://openalex.org/C2781142347","wikidata":"https://www.wikidata.org/wiki/Q1366592","display_name":"Hilbert curve","level":2,"score":0.6033686995506287},{"id":"https://openalex.org/C58471807","wikidata":"https://www.wikidata.org/wiki/Q327120","display_name":"Receiver operating characteristic","level":2,"score":0.5674238204956055},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.546029269695282},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5270987749099731},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5040096640586853},{"id":"https://openalex.org/C530470458","wikidata":"https://www.wikidata.org/wiki/Q128581","display_name":"Breast cancer","level":3,"score":0.48624172806739807},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4592535197734833},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4518420994281769},{"id":"https://openalex.org/C2780472235","wikidata":"https://www.wikidata.org/wiki/Q324634","display_name":"Mammography","level":4,"score":0.44960880279541016},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.42563390731811523},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.2957814931869507},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.23308372497558594},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.20418131351470947},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.14022639393806458},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.09429165720939636},{"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/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":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cbms.2010.6042660","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cbms.2010.6042660","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE 23rd International Symposium on Computer-Based Medical Systems (CBMS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.8299999833106995}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321091","display_name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior","ror":"https://ror.org/00x0ma614"},{"id":"https://openalex.org/F4320322025","display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico","ror":"https://ror.org/03swz6y49"},{"id":"https://openalex.org/F4320322980","display_name":"Funda\u00e7\u00e3o de Amparo \u00e0 Pesquisa do Estado de Minas Gerais","ror":"https://ror.org/00nc55f03"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W13191368","https://openalex.org/W41027960","https://openalex.org/W402813564","https://openalex.org/W1489213177","https://openalex.org/W1575772124","https://openalex.org/W1608292140","https://openalex.org/W1964644294","https://openalex.org/W1975855047","https://openalex.org/W1980637629","https://openalex.org/W1986830331","https://openalex.org/W2000690667","https://openalex.org/W2017074421","https://openalex.org/W2026506545","https://openalex.org/W2067485484","https://openalex.org/W2080873752","https://openalex.org/W2122925473","https://openalex.org/W2125804492","https://openalex.org/W2129192987","https://openalex.org/W2132707173","https://openalex.org/W2144647583","https://openalex.org/W2155653793","https://openalex.org/W2157825442","https://openalex.org/W2158698691","https://openalex.org/W2170863825","https://openalex.org/W2514575318","https://openalex.org/W4255137765","https://openalex.org/W6683445055"],"related_works":["https://openalex.org/W4385649027","https://openalex.org/W2158321991","https://openalex.org/W1979605853","https://openalex.org/W2064992562","https://openalex.org/W2757949947","https://openalex.org/W4400094315","https://openalex.org/W2068350497","https://openalex.org/W1514924336","https://openalex.org/W4390143830","https://openalex.org/W4311719303"],"abstract_inverted_index":{"Malignant":[0],"breast":[1,63],"tumors":[2,45],"and":[3,46,77,110],"benign":[4,47,66,108],"masses":[5,48,64,109],"appear":[6],"in":[7,41,49,74,125],"mammograms":[8],"with":[9],"different":[10],"shape":[11,37],"characteristics:":[12],"the":[13,23,84,115,128,131],"former":[14],"usually":[15],"have":[16,26],"rough,":[17],"spiculated,":[18],"or":[19,30,67],"microlobulated":[20],"contours,":[21],"whereas":[22,83],"latter":[24],"commonly":[25],"smooth,":[27],"round,":[28],"oval,":[29],"macrolobulated":[31],"contours.":[32],"Visual":[33],"features":[34],"that":[35],"characterize":[36],"roughness":[38],"can":[39,87],"assist":[40],"distinguishing":[42],"between":[43],"malignant":[44,112],"mammo-grams.":[50],"Here":[51],"we":[52,119],"propose":[53],"a":[54,91,101,136],"new":[55],"approach":[56],"based":[57],"on":[58],"Hilbert":[59],"curves":[60],"to":[61,80],"classify":[62],"as":[65],"malignant.":[68],"The":[69],"feature":[70],"extraction":[71],"is":[72,78],"performed":[73,89],"linear":[75],"time,":[76],"amenable":[79],"parallel":[81],"processing,":[82],"classification":[85,139],"phase":[86],"be":[88],"by":[90],"classical":[92],"neural":[93],"networks":[94],"structure.":[95],"We":[96],"evaluated":[97],"our":[98],"method":[99],"using":[100],"set":[102],"of":[103,123,127],"111":[104],"contours":[105],"from":[106],"65":[107],"46":[111],"tumors.":[113],"As":[114],"experimental":[116],"evaluations":[117],"show,":[118],"achieved":[120],"an":[121],"accuracy":[122],"0.99":[124],"terms":[126],"area":[129],"under":[130],"receiver":[132],"operating":[133],"characteristics":[134],"curve,":[135],"very":[137],"high":[138],"result.":[140]},"counts_by_year":[{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}