{"id":"https://openalex.org/W2113083837","doi":"https://doi.org/10.1109/bibm.2010.5706601","title":"Improved mammographic mass retrieval performance using multi-view information","display_name":"Improved mammographic mass retrieval performance using multi-view information","publication_year":2010,"publication_date":"2010-12-01","ids":{"openalex":"https://openalex.org/W2113083837","doi":"https://doi.org/10.1109/bibm.2010.5706601","mag":"2113083837"},"language":"en","primary_location":{"id":"doi:10.1109/bibm.2010.5706601","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm.2010.5706601","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","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/A5100431792","display_name":"Wei Liu","orcid":"https://orcid.org/0000-0002-3865-8145"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wei Liu","raw_affiliation_strings":["College of Life Information Science and Instrument Engineering, Hangzhou Dianzi University, Hangzhou, China","College of Life Information Science & Instrument Engineering, Hangzhou Dianzi University, Hangzhou,  China"],"affiliations":[{"raw_affiliation_string":"College of Life Information Science and Instrument Engineering, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]},{"raw_affiliation_string":"College of Life Information Science & Instrument Engineering, Hangzhou Dianzi University, Hangzhou,  China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101961910","display_name":"Weidong Xu","orcid":"https://orcid.org/0000-0002-8905-0391"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weidong Xu","raw_affiliation_strings":["College of Life Information Science and Instrument Engineering, Hangzhou Dianzi University, Hangzhou, China","College of Life Information Science & Instrument Engineering, Hangzhou Dianzi University, Hangzhou,  China"],"affiliations":[{"raw_affiliation_string":"College of Life Information Science and Instrument Engineering, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]},{"raw_affiliation_string":"College of Life Information Science & Instrument Engineering, Hangzhou Dianzi University, Hangzhou,  China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100440653","display_name":"Lihua Li","orcid":"https://orcid.org/0000-0003-0435-6453"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lihua Li","raw_affiliation_strings":["College of Life Information Science and Instrument Engineering, Hangzhou Dianzi University, Hangzhou, China","College of Life Information Science & Instrument Engineering, Hangzhou Dianzi University, Hangzhou,  China"],"affiliations":[{"raw_affiliation_string":"College of Life Information Science and Instrument Engineering, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]},{"raw_affiliation_string":"College of Life Information Science & Instrument Engineering, Hangzhou Dianzi University, Hangzhou,  China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100415892","display_name":"Shuang Li","orcid":"https://orcid.org/0000-0001-9142-5036"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuang Li","raw_affiliation_strings":["College of Life Information Science and Instrument Engineering, Hangzhou Dianzi University, Hangzhou, China","College of Life Information Science & Instrument Engineering, Hangzhou Dianzi University, Hangzhou,  China"],"affiliations":[{"raw_affiliation_string":"College of Life Information Science and Instrument Engineering, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]},{"raw_affiliation_string":"College of Life Information Science & Instrument Engineering, Hangzhou Dianzi University, Hangzhou,  China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026641490","display_name":"Zhao Huanping","orcid":null},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huanping Zhao","raw_affiliation_strings":["College of Life Information Science and Instrument Engineering, Hangzhou Dianzi University, Hangzhou, China","College of Life Information Science & Instrument Engineering, Hangzhou Dianzi University, Hangzhou,  China"],"affiliations":[{"raw_affiliation_string":"College of Life Information Science and Instrument Engineering, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]},{"raw_affiliation_string":"College of Life Information Science & Instrument Engineering, Hangzhou Dianzi University, Hangzhou,  China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100390028","display_name":"Juan Zhang","orcid":"https://orcid.org/0000-0002-3630-5784"},"institutions":[{"id":"https://openalex.org/I4210098734","display_name":"Zhejiang Cancer Hospital","ror":"https://ror.org/0144s0951","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210098734"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Juan Zhang","raw_affiliation_strings":["Medical Imaging Center, Zhejiang Cancer Hospital, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Medical Imaging Center, Zhejiang Cancer Hospital, Hangzhou, China","institution_ids":["https://openalex.org/I4210098734"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100431792"],"corresponding_institution_ids":["https://openalex.org/I50760025"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.18151106,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9986000061035156,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9957000017166138,"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/computer-science","display_name":"Computer science","score":0.7225834131240845},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.6219291687011719},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5714230537414551},{"id":"https://openalex.org/keywords/mammography","display_name":"Mammography","score":0.5521869659423828},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5514829158782959},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5411843657493591},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.488455206155777},{"id":"https://openalex.org/keywords/euclidean-distance","display_name":"Euclidean distance","score":0.4869004786014557},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.45220398902893066},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3180512487888336},{"id":"https://openalex.org/keywords/breast-cancer","display_name":"Breast cancer","score":0.25915220379829407},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.15546688437461853},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.06653395295143127}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7225834131240845},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.6219291687011719},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5714230537414551},{"id":"https://openalex.org/C2780472235","wikidata":"https://www.wikidata.org/wiki/Q324634","display_name":"Mammography","level":4,"score":0.5521869659423828},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5514829158782959},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5411843657493591},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.488455206155777},{"id":"https://openalex.org/C120174047","wikidata":"https://www.wikidata.org/wiki/Q847073","display_name":"Euclidean distance","level":2,"score":0.4869004786014557},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.45220398902893066},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3180512487888336},{"id":"https://openalex.org/C530470458","wikidata":"https://www.wikidata.org/wiki/Q128581","display_name":"Breast cancer","level":3,"score":0.25915220379829407},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.15546688437461853},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.06653395295143127},{"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/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm.2010.5706601","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm.2010.5706601","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","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":0.6899999976158142}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320338469","display_name":"Science and Technology Program of Zhejiang Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1970012846","https://openalex.org/W2070491180","https://openalex.org/W2096885854","https://openalex.org/W2099830954","https://openalex.org/W2102411078","https://openalex.org/W2113180829","https://openalex.org/W2134275275","https://openalex.org/W2134486056","https://openalex.org/W2137190664","https://openalex.org/W2145517326","https://openalex.org/W2147535659","https://openalex.org/W2164864641"],"related_works":["https://openalex.org/W1514924336","https://openalex.org/W2002967116","https://openalex.org/W1970729336","https://openalex.org/W2024400191","https://openalex.org/W2024878248","https://openalex.org/W2379981957","https://openalex.org/W2019538911","https://openalex.org/W2467200550","https://openalex.org/W1996805379","https://openalex.org/W4234584818"],"abstract_inverted_index":{"Breast":[0],"cancer":[1],"is":[2,69,84,92],"the":[3,19,30,45,89,101,106,112,174],"most":[4,48],"common":[5],"malignant":[6],"disease":[7],"in":[8,105],"women.":[9],"Mammographic":[10],"mass":[11,77,97,104,154],"retrieval":[12,55,78,109,120,162,166],"system":[13],"can":[14],"help":[15],"radiologists":[16],"to":[17],"improve":[18],"diagnostic":[20,31],"accuracy":[21,167],"by":[22],"retrieving":[23],"biopsy-proven":[24,152],"masses":[25],"which":[26],"are":[27,57,117,138],"similar":[28],"with":[29,53,150],"ones.":[32],"However,":[33],"although":[34],"screening":[35],"mammograms":[36],"usually":[37],"consists":[38],"of":[39,44,100],"two-view(MLO":[40],"and":[41,95,130],"CC)":[42,96],"mammography":[43],"same":[46],"breast,":[47],"breast":[49],"CAD":[50],"systems":[51],"incorporate":[52],"image":[54,108],"techniques":[56],"based":[58,80,134,161,170,178],"on":[59,81,147],"a":[60,67,75,93,148],"single-view":[61,169],"principle":[62],"where":[63],"query":[64,90],"ROI":[65],"within":[66],"view":[68,103],"analyzed":[70],"independently.":[71],"In":[72,86,111],"this":[73,87],"paper,":[74],"mammographic":[76],"approach":[79,163],"multi-view":[82,160],"information":[83],"proposed.":[85],"work,":[88],"example":[91],"multi-view(MLO":[94],"pair":[98],"instead":[99],"single":[102],"traditional":[107],"framework.":[110],"experiments,":[113],"several":[114],"visual":[115],"features":[116],"used":[118,139],"for":[119,140,173],"evaluation.":[121],"Both":[122],"distance":[123],"similarity":[124,136],"measures,":[125],"such":[126],"as":[127],"Euclidean":[128],"distance,":[129],"k-NN":[131,175],"regression":[132,176],"model":[133,177],"non-distance":[135],"measures":[137],"comparison.":[141],"Experimental":[142],"study":[143],"was":[144],"carried":[145],"out":[146],"database":[149],"126":[151],"masses(63":[153],"pairs).":[155],"Preliminary":[156],"results":[157],"showed":[158],"that":[159],"achieves":[164],"better":[165],"than":[168],"one,":[171],"especially":[172],"similairy":[179],"metric.":[180]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}