{"id":"https://openalex.org/W4214860476","doi":"https://doi.org/10.1109/paap54281.2021.9720312","title":"Two-View Mammographic Mass Retrieval Using Deep Hashing","display_name":"Two-View Mammographic Mass Retrieval Using Deep Hashing","publication_year":2021,"publication_date":"2021-12-10","ids":{"openalex":"https://openalex.org/W4214860476","doi":"https://doi.org/10.1109/paap54281.2021.9720312"},"language":"en","primary_location":{"id":"doi:10.1109/paap54281.2021.9720312","is_oa":false,"landing_page_url":"https://doi.org/10.1109/paap54281.2021.9720312","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 12th International Symposium on Parallel Architectures, Algorithms and Programming (PAAP)","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/A5100641142","display_name":"Wei Liu","orcid":"https://orcid.org/0000-0002-7409-0948"},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wei Liu","raw_affiliation_strings":["School of Computer Science and Technology, Xi&#x0027;an University of Posts and Telecommunications,Xi&#x0027;an,China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Xi&#x0027;an University of Posts and Telecommunications,Xi&#x0027;an,China","institution_ids":["https://openalex.org/I4210136859"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100751177","display_name":"Ximing Li","orcid":"https://orcid.org/0000-0003-4022-1273"},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xi-ming Li","raw_affiliation_strings":["School of Computer Science and Technology, Xi&#x0027;an University of Posts and Telecommunications,Xi&#x0027;an,China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Xi&#x0027;an University of Posts and Telecommunications,Xi&#x0027;an,China","institution_ids":["https://openalex.org/I4210136859"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063315772","display_name":"Mengfei Wu","orcid":"https://orcid.org/0000-0002-3864-5854"},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meng-fei Wu","raw_affiliation_strings":["School of Computer Science and Technology, Xi&#x0027;an University of Posts and Telecommunications,Xi&#x0027;an,China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Xi&#x0027;an University of Posts and Telecommunications,Xi&#x0027;an,China","institution_ids":["https://openalex.org/I4210136859"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074234673","display_name":"Rong-Yao Xu","orcid":"https://orcid.org/0000-0003-4666-6580"},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rong-yao Xu","raw_affiliation_strings":["School of Computer Science and Technology, Xi&#x0027;an University of Posts and Telecommunications,Xi&#x0027;an,China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Xi&#x0027;an University of Posts and Telecommunications,Xi&#x0027;an,China","institution_ids":["https://openalex.org/I4210136859"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101523105","display_name":"Kai Fei","orcid":"https://orcid.org/0000-0001-5699-0873"},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kai Fei","raw_affiliation_strings":["School of Computer Science and Technology, Xi&#x0027;an University of Posts and Telecommunications,Xi&#x0027;an,China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Xi&#x0027;an University of Posts and Telecommunications,Xi&#x0027;an,China","institution_ids":["https://openalex.org/I4210136859"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102901129","display_name":"Jiawei Yang","orcid":"https://orcid.org/0009-0003-8193-4218"},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jia-wei Yang","raw_affiliation_strings":["School of Computer Science and Technology, Xi&#x0027;an University of Posts and Telecommunications,Xi&#x0027;an,China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Xi&#x0027;an University of Posts and Telecommunications,Xi&#x0027;an,China","institution_ids":["https://openalex.org/I4210136859"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100641142"],"corresponding_institution_ids":["https://openalex.org/I4210136859"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.18936275,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"130","last_page":"135"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9994000196456909,"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":0.9994000196456909,"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":0.9988999962806702,"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":0.9976999759674072,"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":0.7967482805252075},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6479898691177368},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.6424745321273804},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6226813793182373},{"id":"https://openalex.org/keywords/mammography","display_name":"Mammography","score":0.5884921550750732},{"id":"https://openalex.org/keywords/hash-function","display_name":"Hash function","score":0.5750068426132202},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.569854736328125},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5149634480476379},{"id":"https://openalex.org/keywords/content-based-image-retrieval","display_name":"Content-based image retrieval","score":0.5148579478263855},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.48809516429901123},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.4676755368709564},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4226798713207245},{"id":"https://openalex.org/keywords/breast-cancer","display_name":"Breast cancer","score":0.2978334128856659},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.24407678842544556},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.1510181427001953}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7967482805252075},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6479898691177368},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.6424745321273804},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6226813793182373},{"id":"https://openalex.org/C2780472235","wikidata":"https://www.wikidata.org/wiki/Q324634","display_name":"Mammography","level":4,"score":0.5884921550750732},{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.5750068426132202},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.569854736328125},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5149634480476379},{"id":"https://openalex.org/C2780052074","wikidata":"https://www.wikidata.org/wiki/Q1128648","display_name":"Content-based image retrieval","level":4,"score":0.5148579478263855},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.48809516429901123},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.4676755368709564},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4226798713207245},{"id":"https://openalex.org/C530470458","wikidata":"https://www.wikidata.org/wiki/Q128581","display_name":"Breast cancer","level":3,"score":0.2978334128856659},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.24407678842544556},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.1510181427001953},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/paap54281.2021.9720312","is_oa":false,"landing_page_url":"https://doi.org/10.1109/paap54281.2021.9720312","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 12th International Symposium on Parallel Architectures, Algorithms and Programming (PAAP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6000000238418579,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1987040325","https://openalex.org/W2070491180","https://openalex.org/W2084363474","https://openalex.org/W2099830954","https://openalex.org/W2113083837","https://openalex.org/W2120580182","https://openalex.org/W2130660124","https://openalex.org/W2152274070","https://openalex.org/W2464915613","https://openalex.org/W2919115771","https://openalex.org/W3008363225","https://openalex.org/W3036545391","https://openalex.org/W3040731359","https://openalex.org/W3119005666","https://openalex.org/W3128646645","https://openalex.org/W3145539437","https://openalex.org/W4387660434","https://openalex.org/W6780247539"],"related_works":["https://openalex.org/W2900811989","https://openalex.org/W2746816529","https://openalex.org/W2341223103","https://openalex.org/W2024252608","https://openalex.org/W2905186525","https://openalex.org/W2044706866","https://openalex.org/W2031096531","https://openalex.org/W4367727948","https://openalex.org/W3198880640","https://openalex.org/W3017331082"],"abstract_inverted_index":{"Breast":[0],"cancer":[1,7],"is":[2,83,144],"the":[3,12,28,37,56,87,96,168,173,203],"most":[4,59],"commonly":[5],"diagnosed":[6],"among":[8],"women":[9],"all":[10],"over":[11],"world.":[13],"Content-based":[14],"mammographic":[15,128],"mass":[16,79,129,178],"retrieval":[17,68,130,138,215],"can":[18,32,109,212],"assist":[19],"radiologists":[20,34],"to":[21,27,35,120,146],"retrieve":[22],"biopsy-proven":[23],"masses":[24,200],"content":[25],"similar":[26],"diagnostic":[29,38],"ones,":[30],"which":[31,108,219],"help":[33],"improve":[36],"performance.":[39,223],"However,":[40],"although":[41],"screening":[42],"mammograms":[43],"usually":[44],"consists":[45],"of":[46,55,89,164,177,198,217],"two-view":[47,127],"(mediolateral":[48],"oblique":[49],"view":[50,82],"and":[51,113,151,158,184],"craniocaudal":[52],"view)":[53],"mammography":[54],"same":[57],"breast,":[58],"breast":[60],"computer-aided":[61],"diagnosis(CAD)":[62],"methods":[63],"incorporated":[64],"with":[65],"content-based":[66],"image":[67,94,149,169],"(CBIR)":[69],"techniques":[70],"are":[71,180],"based":[72,132,154],"on":[73,133,155],"a":[74,81,126,140,187,192,196,214],"single-view":[75],"principle":[76],"where":[77],"query":[78],"within":[80,186],"analyzed":[84],"independently.":[85],"With":[86],"advance":[88],"deep":[90,97,134],"neural":[91,142],"networks":[92],"in":[93],"representation,":[95],"hashing":[98],"technique":[99],"for":[100,182,207],"CBIR":[101],"maps":[102],"images":[103],"into":[104],"binary":[105,170,175],"feature":[106],"vectors,":[107],"greatly":[110],"reduce":[111],"time":[112],"memory":[114],"costs.":[115],"In":[116,136],"this":[117,210],"paper,":[118],"according":[119],"our":[121,137],"previous":[122],"studies,":[123],"we":[124],"propose":[125],"approach":[131],"hashing.":[135],"paradigm,":[139],"convolutional":[141],"network(CNN)":[143],"used":[145,181],"learn":[147],"both":[148],"representation":[150],"hash":[152],"function":[153],"paired":[156],"labels":[157],"class":[159],"labels.":[160],"The":[161],"last":[162],"layer":[163],"CNN":[165],"will":[166],"output":[167],"codes.":[171],"Subsequently,":[172],"learned":[174],"codes":[176],"pair":[179],"matching":[183],"ranking":[185],"traditional":[188],"query-by-example(QBE)":[189],"framework.":[190],"Using":[191],"dataset":[193],"that":[194],"contains":[195],"total":[197],"3000":[199],"collected":[201],"from":[202],"public":[204],"Digital":[205],"Database":[206],"Screening":[208],"Mammography(DDSM),":[209],"method":[211],"yield":[213],"accuracy":[216],"0.8975,":[218],"demonstrates":[220],"its":[221],"encouraging":[222]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
