{"id":"https://openalex.org/W2791929572","doi":"https://doi.org/10.1109/cisp-bmei.2017.8302194","title":"Medical image retrieval based on the deep convolution network and hash coding","display_name":"Medical image retrieval based on the deep convolution network and hash coding","publication_year":2017,"publication_date":"2017-10-01","ids":{"openalex":"https://openalex.org/W2791929572","doi":"https://doi.org/10.1109/cisp-bmei.2017.8302194","mag":"2791929572"},"language":"en","primary_location":{"id":"doi:10.1109/cisp-bmei.2017.8302194","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei.2017.8302194","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","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/A5003009948","display_name":"Changyan Qiu","orcid":null},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Changyan Qiu","raw_affiliation_strings":["Faculty of Information Technology, Beijing University of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Faculty of Information Technology, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014576537","display_name":"Yiheng Cai","orcid":"https://orcid.org/0000-0002-5859-5858"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiheng Cai","raw_affiliation_strings":["Faculty of Information Technology, Beijing University of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Faculty of Information Technology, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101052248","display_name":"Xurong Gao","orcid":null},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xurong Gao","raw_affiliation_strings":["Faculty of Information Technology, Beijing University of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Faculty of Information Technology, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033801861","display_name":"Yize Cui","orcid":null},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yize Cui","raw_affiliation_strings":["Faculty of Information Technology, Beijing University of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Faculty of Information Technology, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5003009948"],"corresponding_institution_ids":["https://openalex.org/I37796252"],"apc_list":null,"apc_paid":null,"fwci":0.4551,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.74216271,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"10","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9995999932289124,"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":0.9995999932289124,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9836000204086304,"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/hash-function","display_name":"Hash function","score":0.7526737451553345},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7498732805252075},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.6572853922843933},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.5411346554756165},{"id":"https://openalex.org/keywords/linear-network-coding","display_name":"Linear network coding","score":0.5293453335762024},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.5091249346733093},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.42337745428085327},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4198707342147827},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3411065340042114},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.2685971260070801},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.12340018153190613},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12133046984672546},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.08024033904075623},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.07959294319152832}],"concepts":[{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.7526737451553345},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7498732805252075},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.6572853922843933},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.5411346554756165},{"id":"https://openalex.org/C138293262","wikidata":"https://www.wikidata.org/wiki/Q1089578","display_name":"Linear network coding","level":3,"score":0.5293453335762024},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.5091249346733093},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.42337745428085327},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4198707342147827},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3411065340042114},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.2685971260070801},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.12340018153190613},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12133046984672546},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.08024033904075623},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07959294319152832},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cisp-bmei.2017.8302194","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei.2017.8302194","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W1502916507","https://openalex.org/W1514027499","https://openalex.org/W1686810756","https://openalex.org/W1967643748","https://openalex.org/W1969473292","https://openalex.org/W1971892367","https://openalex.org/W1991084032","https://openalex.org/W1992371516","https://openalex.org/W1998068974","https://openalex.org/W2039051707","https://openalex.org/W2039867553","https://openalex.org/W2052271957","https://openalex.org/W2072343128","https://openalex.org/W2085008807","https://openalex.org/W2102605133","https://openalex.org/W2113180829","https://openalex.org/W2114661696","https://openalex.org/W2119046205","https://openalex.org/W2122324699","https://openalex.org/W2131081720","https://openalex.org/W2155893237","https://openalex.org/W2162709701","https://openalex.org/W2163605009","https://openalex.org/W2172196609","https://openalex.org/W2221852422","https://openalex.org/W2293597654","https://openalex.org/W2464915613","https://openalex.org/W2473341269","https://openalex.org/W2594105920","https://openalex.org/W2962835968","https://openalex.org/W2963346784","https://openalex.org/W6629956336","https://openalex.org/W6630792627","https://openalex.org/W6637373629","https://openalex.org/W6648560114","https://openalex.org/W6684191040","https://openalex.org/W6688844344","https://openalex.org/W6697214482","https://openalex.org/W6720381310"],"related_works":["https://openalex.org/W2212571888","https://openalex.org/W2139379087","https://openalex.org/W2020805386","https://openalex.org/W2411336269","https://openalex.org/W2124128583","https://openalex.org/W2489403550","https://openalex.org/W2079655802","https://openalex.org/W2073059552","https://openalex.org/W2581667880","https://openalex.org/W2096444692"],"abstract_inverted_index":{"Recent":[0],"years":[1],"CNN":[2,20,146],"(Convolutional":[3],"Neural":[4],"Network)":[5],"has":[6],"performed":[7],"well":[8],"in":[9,26,67],"image":[10,13,81,97,123],"processing,":[11],"including":[12],"retrieval.":[14],"However,":[15],"since":[16],"the":[17,27,40,44,47,53,92,96,104,113,120,149],"features":[18],"of":[19,106,122],"extraction":[21],"are":[22,130],"usually":[23],"high-dimensional,":[24],"and":[25,42,127,145,152],"massive":[28],"data":[29],"conditions,":[30],"it":[31],"is":[32,72,89,109,139],"a":[33,86],"rather":[34],"time-consuming":[35],"process":[36],"to":[37,50,77,91,94,118],"traverse":[38],"all":[39],"images":[41],"calculate":[43],"distance":[45],"between":[46],"feature":[48,107],"vectors":[49],"accurately":[51],"find":[52],"closest":[54],"Top":[55],"K":[56],"images.":[57],"The":[58,132],"proposed":[59],"paper":[60],"uses":[61],"an":[62],"effective":[63],"deep":[64],"learning":[65],"framework":[66],"which":[68],"Deep":[69],"Convolution":[70],"Network":[71],"combined":[73],"with":[74],"Hash":[75],"Coding":[76],"learn":[78],"rich":[79],"medical":[80],"representing":[82],"through":[83],"CNN.":[84],"First,":[85],"hash":[87],"layer":[88],"added":[90],"network":[93],"represent":[95],"information":[98],"as":[99],"binary":[100],"hashing":[101,143],"codes;":[102],"Simultaneously,":[103],"dimension":[105],"vector":[108],"effectively":[110],"reduced":[111],"by":[112],"framework;":[114],"then,":[115],"In":[116],"order":[117],"improve":[119],"accuracy":[121],"retrieval,":[124],"rough":[125],"searching":[126,129],"fine":[128],"combined.":[131],"experimental":[133],"results":[134],"show":[135],"that":[136],"our":[137],"method":[138],"optimal":[140],"than":[141],"several":[142],"algorithms":[144],"methods":[147],"on":[148],"TCIA-CT":[150],"database":[151],"VIA/I-ELCAP":[153],"database.":[154]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
