{"id":"https://openalex.org/W2113942444","doi":"https://doi.org/10.1109/cbms.2010.6042661","title":"Improving medical image retrieval through multi-descriptor similarity functions and association rules","display_name":"Improving medical image retrieval through multi-descriptor similarity functions and association rules","publication_year":2010,"publication_date":"2010-10-01","ids":{"openalex":"https://openalex.org/W2113942444","doi":"https://doi.org/10.1109/cbms.2010.6042661","mag":"2113942444"},"language":"en","primary_location":{"id":"doi:10.1109/cbms.2010.6042661","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cbms.2010.6042661","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/A5087687401","display_name":"Renato Bueno","orcid":"https://orcid.org/0000-0002-5811-3847"},"institutions":[{"id":"https://openalex.org/I177909021","display_name":"Universidade Federal de S\u00e3o Carlos","ror":"https://ror.org/00qdc6m37","country_code":"BR","type":"education","lineage":["https://openalex.org/I177909021"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Renato Bueno","raw_affiliation_strings":["Department of Computer Science-DC, Federal University of S\u00e3o Carlos, Sao Paulo, Brazil","Department of Computer Science - DC, Federal University of S\u00e3o Carlos, SP, Brazil"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science-DC, Federal University of S\u00e3o Carlos, Sao Paulo, Brazil","institution_ids":["https://openalex.org/I177909021"]},{"raw_affiliation_string":"Department of Computer Science - DC, Federal University of S\u00e3o Carlos, SP, Brazil","institution_ids":["https://openalex.org/I177909021"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004343218","display_name":"Marcela Xavier Ribeiro","orcid":"https://orcid.org/0000-0002-2323-5326"},"institutions":[{"id":"https://openalex.org/I177909021","display_name":"Universidade Federal de S\u00e3o Carlos","ror":"https://ror.org/00qdc6m37","country_code":"BR","type":"education","lineage":["https://openalex.org/I177909021"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Marcela X. Ribeiro","raw_affiliation_strings":["Department of Computer Science-DC, Federal University of S\u00e3o Carlos, Sao Paulo, Brazil","Department of Computer Science - DC, Federal University of S\u00e3o Carlos, SP, Brazil"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science-DC, Federal University of S\u00e3o Carlos, Sao Paulo, Brazil","institution_ids":["https://openalex.org/I177909021"]},{"raw_affiliation_string":"Department of Computer Science - DC, Federal University of S\u00e3o Carlos, SP, Brazil","institution_ids":["https://openalex.org/I177909021"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014783020","display_name":"Agma J. M. Traina","orcid":"https://orcid.org/0000-0003-4929-7258"},"institutions":[{"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"],"is_corresponding":false,"raw_author_name":"Agma J. M. Traina","raw_affiliation_strings":["Department of Computer Science-ICMC, University of So Paulo, S\u00e3o Carlos, Sao Paulo, Brazil","Department of Computer Science \u00bf ICMC, University of S\u00e3o Paulo at S\u00e5o Carlos, SP, Brazil"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science-ICMC, University of So Paulo, S\u00e3o Carlos, Sao Paulo, Brazil","institution_ids":[]},{"raw_affiliation_string":"Department of Computer Science \u00bf ICMC, University of S\u00e3o Paulo at S\u00e5o Carlos, SP, Brazil","institution_ids":["https://openalex.org/I17974374"]}]},{"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/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"],"is_corresponding":false,"raw_author_name":"Caetano Traina","raw_affiliation_strings":["Department of Computer Science-ICMC, University of So Paulo, S\u00e3o Carlos, Sao Paulo, Brazil","Department of Computer Science \u00bf ICMC, University of S\u00e3o Paulo at S\u00e5o Carlos, SP, Brazil"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science-ICMC, University of So Paulo, S\u00e3o Carlos, Sao Paulo, Brazil","institution_ids":[]},{"raw_affiliation_string":"Department of Computer Science \u00bf ICMC, University of S\u00e3o Paulo at S\u00e5o Carlos, SP, Brazil","institution_ids":["https://openalex.org/I17974374"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5087687401"],"corresponding_institution_ids":["https://openalex.org/I177909021"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.18201155,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"309","last_page":"314"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9998999834060669,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9983000159263611,"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9797000288963318,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/computer-science","display_name":"Computer science","score":0.7567985653877258},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.6517804861068726},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.6235055923461914},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.589388906955719},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.5744348764419556},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5387618541717529},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.53424471616745},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.500765323638916},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.4454376697540283},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4453813433647156},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4409511387348175},{"id":"https://openalex.org/keywords/content-based-image-retrieval","display_name":"Content-based image retrieval","score":0.4271070957183838},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4192938208580017},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4186600148677826},{"id":"https://openalex.org/keywords/fractal","display_name":"Fractal","score":0.41379404067993164},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1857675313949585}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7567985653877258},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.6517804861068726},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6235055923461914},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.589388906955719},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.5744348764419556},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5387618541717529},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.53424471616745},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.500765323638916},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.4454376697540283},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4453813433647156},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4409511387348175},{"id":"https://openalex.org/C2780052074","wikidata":"https://www.wikidata.org/wiki/Q1128648","display_name":"Content-based image retrieval","level":4,"score":0.4271070957183838},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4192938208580017},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4186600148677826},{"id":"https://openalex.org/C40636538","wikidata":"https://www.wikidata.org/wiki/Q81392","display_name":"Fractal","level":2,"score":0.41379404067993164},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1857675313949585},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cbms.2010.6042661","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cbms.2010.6042661","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":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320997","display_name":"Funda\u00e7\u00e3o de Amparo \u00e0 Pesquisa do Estado de S\u00e3o Paulo","ror":"https://ror.org/02ddkpn78"},{"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"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W41649822","https://openalex.org/W299839057","https://openalex.org/W1575284429","https://openalex.org/W1576948546","https://openalex.org/W1604051367","https://openalex.org/W1660390307","https://openalex.org/W1854495089","https://openalex.org/W1861510175","https://openalex.org/W2049797265","https://openalex.org/W2065528935","https://openalex.org/W2079348595","https://openalex.org/W2096422142","https://openalex.org/W2102008909","https://openalex.org/W2109430544","https://openalex.org/W2111993661","https://openalex.org/W2113180829","https://openalex.org/W2157092487","https://openalex.org/W2166613198","https://openalex.org/W2178864591","https://openalex.org/W6601690194","https://openalex.org/W6638687977","https://openalex.org/W6639179007","https://openalex.org/W6682969285"],"related_works":["https://openalex.org/W2900811989","https://openalex.org/W2044706866","https://openalex.org/W2746816529","https://openalex.org/W2341223103","https://openalex.org/W2024252608","https://openalex.org/W2905186525","https://openalex.org/W2031096531","https://openalex.org/W4367727948","https://openalex.org/W3198880640","https://openalex.org/W3017331082"],"abstract_inverted_index":{"Content-based":[0],"image":[1,23,117,135],"retrieval":[2,58],"(CBIR)":[3],"systems":[4,85],"still":[5],"face":[6],"the":[7,17,33,36,53,57,61,81,98,140,149,163,169,172,179,200,209],"problem":[8],"of":[9,12,19,38,42,49,83,109,171,190,196,211],"low":[10],"precision":[11,18,165],"system":[13],"results.":[14],"To":[15],"improve":[16,208],"such":[20],"systems,":[21],"many":[22],"visual":[24],"extractors":[25,43],"have":[26,144],"been":[27],"developed":[28],"and":[29,44,60,86,97,111,157,192,203],"employed":[30],"to":[31,52,79,104,126,155,161,207],"represent":[32],"images.":[34],"However,":[35],"usage":[37],"a":[39,46,70,106,128,187,193],"large":[40,47],"number":[41,48],"consequently,":[45],"features,":[50],"leads":[51],"\u201cdimensionality":[54],"curse\u201d,":[55],"where":[56],"performance":[59],"query":[62,164,213],"accuracy":[63,82],"diminish.":[64],"In":[65],"this":[66],"paper,":[67],"we":[68],"propose":[69],"new":[71],"method,":[72],"called":[73],"Statistical":[74],"Fractal-scaled":[75,99],"Product":[76,100],"Metric":[77,101],"(SFPM),":[78],"maximize":[80],"CBIR":[84,215],"speedup":[87],"similarity":[88,118,136],"queries.":[89],"The":[90,120,175],"SFPM":[91,147,182],"method":[92,125,181],"combines":[93],"association":[94],"rule":[95],"mining":[96],"(FPM)":[102],"[4],":[103],"determine":[105,127],"reduced":[107,148,188],"set":[108,189,195],"features":[110,132,191],"appropriate":[112],"scale":[113,129,197],"factors":[114,198],"in":[115,133,153,159,185,214],"multi-descriptor":[116,134],"assessment.":[119],"FPM":[121,173],"is":[122,183,205],"an":[123],"unsupervised":[124],"factor":[130],"among":[131],"assessment":[137],"based":[138],"on":[139],"Fractal":[141],"Theory.":[142],"Experiments":[143],"shown":[145],"that":[146,178],"feature":[150],"vector":[151],"size":[152],"up":[154,160],"65%":[156],"improved":[158],"27%":[162],"when":[166],"comparing":[167],"with":[168],"use":[170],"technique.":[174],"results":[176],"show":[177],"proposed":[180],"effective":[184],"determining":[186],"near-optimal":[194],"for":[199],"descriptors":[201],"involved,":[202],"it":[204],"well-suited":[206],"quality":[210],"content-based":[212],"systems.":[216]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}