{"id":"https://openalex.org/W1531296988","doi":"https://doi.org/10.1109/isbi.2015.7163867","title":"Leveraging coupled multi-index for scalable retrieval of mammographic masses","display_name":"Leveraging coupled multi-index for scalable retrieval of mammographic masses","publication_year":2015,"publication_date":"2015-04-01","ids":{"openalex":"https://openalex.org/W1531296988","doi":"https://doi.org/10.1109/isbi.2015.7163867","mag":"1531296988"},"language":"en","primary_location":{"id":"doi:10.1109/isbi.2015.7163867","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2015.7163867","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI)","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/A5079418322","display_name":"Menglin Jiang","orcid":"https://orcid.org/0000-0002-1959-6161"},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Menglin Jiang","raw_affiliation_strings":["Department of Computer Science, Rutgers University, Piscataway, NJ, USA","Department of Computer Science Rutgers University  Piscataway NJ USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Rutgers University, Piscataway, NJ, USA","institution_ids":["https://openalex.org/I102322142"]},{"raw_affiliation_string":"Department of Computer Science Rutgers University  Piscataway NJ USA","institution_ids":["https://openalex.org/I102322142"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066553616","display_name":"Shaoting Zhang","orcid":"https://orcid.org/0000-0002-8719-448X"},"institutions":[{"id":"https://openalex.org/I102149020","display_name":"University of North Carolina at Charlotte","ror":"https://ror.org/04dawnj30","country_code":"US","type":"education","lineage":["https://openalex.org/I102149020"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shaoting Zhang","raw_affiliation_strings":["Department of Computer Science, UNC Charlotte, Charlotte, NC, USA","[Department of Computer Science, UNC-Charlotte, Charlotte, NC, USA]"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, UNC Charlotte, Charlotte, NC, USA","institution_ids":["https://openalex.org/I102149020"]},{"raw_affiliation_string":"[Department of Computer Science, UNC-Charlotte, Charlotte, NC, USA]","institution_ids":["https://openalex.org/I102149020"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007109351","display_name":"Ruogu Fang","orcid":"https://orcid.org/0000-0003-3980-3532"},"institutions":[{"id":"https://openalex.org/I19700959","display_name":"Florida International University","ror":"https://ror.org/02gz6gg07","country_code":"US","type":"education","lineage":["https://openalex.org/I19700959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ruogu Fang","raw_affiliation_strings":["School of Computing and Information Sciences, Florida International University, Miami, FL, USA","School of Computing and Information Sciences, Florida International University, Miami, FL, USA#TAB#"],"affiliations":[{"raw_affiliation_string":"School of Computing and Information Sciences, Florida International University, Miami, FL, USA","institution_ids":["https://openalex.org/I19700959"]},{"raw_affiliation_string":"School of Computing and Information Sciences, Florida International University, Miami, FL, USA#TAB#","institution_ids":["https://openalex.org/I19700959"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109600054","display_name":"Dimitris Metaxas","orcid":null},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dimitris N. Metaxas","raw_affiliation_strings":["Department of Computer Science, Rutgers University, Piscataway, NJ, USA","Department of Computer Science Rutgers University  Piscataway NJ USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Rutgers University, Piscataway, NJ, USA","institution_ids":["https://openalex.org/I102322142"]},{"raw_affiliation_string":"Department of Computer Science Rutgers University  Piscataway NJ USA","institution_ids":["https://openalex.org/I102322142"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5079418322"],"corresponding_institution_ids":["https://openalex.org/I102322142"],"apc_list":null,"apc_paid":null,"fwci":0.7364,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.77779639,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"6514","issue":null,"first_page":"276","last_page":"280"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9991000294685364,"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":0.9991000294685364,"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":0.9977999925613403,"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/T10862","display_name":"AI in cancer detection","score":0.9921000003814697,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7307316064834595},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6375573873519897},{"id":"https://openalex.org/keywords/index","display_name":"Index (typography)","score":0.589650571346283},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.40177515149116516},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.12594982981681824},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.1183733344078064}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7307316064834595},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6375573873519897},{"id":"https://openalex.org/C2777382242","wikidata":"https://www.wikidata.org/wiki/Q6017816","display_name":"Index (typography)","level":2,"score":0.589650571346283},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.40177515149116516},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.12594982981681824},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.1183733344078064}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi.2015.7163867","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2015.7163867","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.7799999713897705}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W41027960","https://openalex.org/W134688180","https://openalex.org/W1820015093","https://openalex.org/W1978394996","https://openalex.org/W1988936055","https://openalex.org/W2002153343","https://openalex.org/W2025287381","https://openalex.org/W2031332477","https://openalex.org/W2035626876","https://openalex.org/W2036924016","https://openalex.org/W2042265656","https://openalex.org/W2067485484","https://openalex.org/W2070491180","https://openalex.org/W2072531324","https://openalex.org/W2074020279","https://openalex.org/W2093447882","https://openalex.org/W2119077877","https://openalex.org/W2131846894","https://openalex.org/W2151103935","https://openalex.org/W6605472931","https://openalex.org/W6638441017","https://openalex.org/W6650978802"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2389214306","https://openalex.org/W4396696052","https://openalex.org/W4402327032"],"abstract_inverted_index":{"Content-based":[0],"image":[1],"retrieval":[2,136],"techniques":[3],"have":[4],"shown":[5],"great":[6],"value":[7],"in":[8],"computer-aided":[9],"diagnosis":[10],"of":[11,27,44,78,89],"mammographic":[12,23,79],"masses.":[13],"Many":[14],"existing":[15],"approaches":[16],"adopt":[17],"several":[18],"features":[19,30,46,71,95,143],"to":[20,60,107],"better":[21,135],"characterize":[22],"regions.":[24,80],"However,":[25],"most":[26],"them":[28],"fuse":[29],"through":[31],"feature":[32,66,105],"concatenation":[33],"or":[34],"result-level":[35],"combination,":[36],"which":[37],"cannot":[38],"fully":[39],"exert":[40],"the":[41,50,75,87,120,148],"discriminative":[42],"power":[43],"different":[45],"and":[47,138,151],"also":[48,146],"sacrifices":[49],"overall":[51,149],"computational":[52],"efficiency.":[53],"To":[54],"address":[55],"these":[56],"drawbacks,":[57],"we":[58],"propose":[59],"utilize":[61],"coupled":[62],"multi-index":[63],"for":[64,123],"index-level":[65],"fusion.":[67],"Specifically,":[68],"complementary":[69],"local":[70],"are":[72,83,96,111],"extracted":[73],"from":[74,119],"same":[76],"locations":[77],"Then,":[81],"they":[82],"separately":[84],"quantized":[85,94],"using":[86],"\u201cbag":[88],"words\u201d":[90],"(BoW)":[91],"approach.":[92],"Finally,":[93],"inserted":[97],"into":[98],"a":[99,115],"two-dimensional":[100],"inverted":[101],"index,":[102],"with":[103],"each":[104],"corresponding":[106],"one":[108],"dimension.":[109],"Experiments":[110],"carried":[112],"out":[113],"on":[114],"large":[116],"dataset":[117],"constructed":[118],"digital":[121],"database":[122],"screening":[124],"mammography":[125],"(DDSM).":[126],"Results":[127],"demonstrate":[128],"that":[129],"our":[130],"approach":[131],"not":[132],"only":[133],"achieves":[134],"precision":[137],"diagnostic":[139],"accuracy":[140],"than":[141],"individual":[142],"do,":[144],"but":[145],"improves":[147],"efficiency":[150],"scalability.":[152]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
