{"id":"https://openalex.org/W2997582374","doi":"https://doi.org/10.1145/3364836.3364866","title":"Pulmonary Nodules Image Retrieval via Supervised Deep Hashing","display_name":"Pulmonary Nodules Image Retrieval via Supervised Deep Hashing","publication_year":2019,"publication_date":"2019-08-24","ids":{"openalex":"https://openalex.org/W2997582374","doi":"https://doi.org/10.1145/3364836.3364866","mag":"2997582374"},"language":"en","primary_location":{"id":"doi:10.1145/3364836.3364866","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3364836.3364866","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Third International Symposium on Image Computing and Digital Medicine","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/A5108983775","display_name":"Yongjun Qi","orcid":"https://orcid.org/0000-0001-8903-4474"},"institutions":[{"id":"https://openalex.org/I184843921","display_name":"Hebei University of Technology","ror":"https://ror.org/018hded08","country_code":"CN","type":"education","lineage":["https://openalex.org/I184843921"]},{"id":"https://openalex.org/I4210119087","display_name":"North China Institute of Aerospace Engineering","ror":"https://ror.org/02m7msy24","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210119087"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yongjun Qi","raw_affiliation_strings":["State Key Laboratory of Reliability and Intelligence of Electrical Equipment, Hebei University of Technology, Tianjin, China and Information Technology Center, North China Institute of Aerospace Engineering, Langfang, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Reliability and Intelligence of Electrical Equipment, Hebei University of Technology, Tianjin, China and Information Technology Center, North China Institute of Aerospace Engineering, Langfang, China","institution_ids":["https://openalex.org/I184843921","https://openalex.org/I4210119087"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109440399","display_name":"Junhua Gu","orcid":"https://orcid.org/0009-0003-0982-417X"},"institutions":[{"id":"https://openalex.org/I184843921","display_name":"Hebei University of Technology","ror":"https://ror.org/018hded08","country_code":"CN","type":"education","lineage":["https://openalex.org/I184843921"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junhua Gu","raw_affiliation_strings":["School of Artificial Intelligence, Hebei University of Technology, Tianjin, China and Hebei Province Key Laboratory of Big Data Calculation, Hebei University of Technology, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Hebei University of Technology, Tianjin, China and Hebei Province Key Laboratory of Big Data Calculation, Hebei University of Technology, Tianjin, China","institution_ids":["https://openalex.org/I184843921"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Juanping Geng","orcid":null},"institutions":[{"id":"https://openalex.org/I4210119087","display_name":"North China Institute of Aerospace Engineering","ror":"https://ror.org/02m7msy24","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210119087"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Juanping Geng","raw_affiliation_strings":["Information Technology Center, North China Institute of Aerospace Engineering, Langfang, China"],"affiliations":[{"raw_affiliation_string":"Information Technology Center, North China Institute of Aerospace Engineering, Langfang, China","institution_ids":["https://openalex.org/I4210119087"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036098332","display_name":"Zepei Tian","orcid":"https://orcid.org/0000-0002-4788-8815"},"institutions":[{"id":"https://openalex.org/I184843921","display_name":"Hebei University of Technology","ror":"https://ror.org/018hded08","country_code":"CN","type":"education","lineage":["https://openalex.org/I184843921"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zepei Tian","raw_affiliation_strings":["School of Artificial Intelligence, Hebei University of Technology, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Hebei University of Technology, Tianjin, China","institution_ids":["https://openalex.org/I184843921"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062600659","display_name":"Yingru Su","orcid":null},"institutions":[{"id":"https://openalex.org/I4210119087","display_name":"North China Institute of Aerospace Engineering","ror":"https://ror.org/02m7msy24","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210119087"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yingru Su","raw_affiliation_strings":["Information Technology Center, North China Institute of Aerospace Engineering, Langfang, China"],"affiliations":[{"raw_affiliation_string":"Information Technology Center, North China Institute of Aerospace Engineering, Langfang, China","institution_ids":["https://openalex.org/I4210119087"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100687625","display_name":"Yajuan Zhang","orcid":"https://orcid.org/0000-0001-8177-0610"},"institutions":[{"id":"https://openalex.org/I184843921","display_name":"Hebei University of Technology","ror":"https://ror.org/018hded08","country_code":"CN","type":"education","lineage":["https://openalex.org/I184843921"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yajuan Zhang","raw_affiliation_strings":["School of Artificial Intelligence, Hebei University of Technology, Tianjin, China and Hebei Province Key Laboratory of Big Data Calculation, Hebei University of Technology, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Hebei University of Technology, Tianjin, China and Hebei Province Key Laboratory of Big Data Calculation, Hebei University of Technology, Tianjin, China","institution_ids":["https://openalex.org/I184843921"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5108983775"],"corresponding_institution_ids":["https://openalex.org/I184843921","https://openalex.org/I4210119087"],"apc_list":null,"apc_paid":null,"fwci":0.1022,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.47340794,"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":"152","last_page":"156"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval 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/T10627","display_name":"Advanced Image and Video Retrieval 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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9951000213623047,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9279999732971191,"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":0.7908803224563599},{"id":"https://openalex.org/keywords/hash-function","display_name":"Hash function","score":0.6778687238693237},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6680980920791626},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.6389076709747314},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6202290058135986},{"id":"https://openalex.org/keywords/binary-code","display_name":"Binary code","score":0.6150131225585938},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5326435565948486},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4476607143878937},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.4270319640636444},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.42460769414901733},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.29921478033065796},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2860147953033447},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10929059982299805}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7908803224563599},{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.6778687238693237},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6680980920791626},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.6389076709747314},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6202290058135986},{"id":"https://openalex.org/C63435697","wikidata":"https://www.wikidata.org/wiki/Q864135","display_name":"Binary code","level":3,"score":0.6150131225585938},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5326435565948486},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4476607143878937},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.4270319640636444},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.42460769414901733},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.29921478033065796},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2860147953033447},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10929059982299805},{"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/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3364836.3364866","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3364836.3364866","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Third International Symposium on Image Computing and Digital Medicine","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1910300841","https://openalex.org/W1913628733","https://openalex.org/W1939575207","https://openalex.org/W1974647172","https://openalex.org/W1976526581","https://openalex.org/W1986649315","https://openalex.org/W1992371516","https://openalex.org/W2108119513","https://openalex.org/W2120903075","https://openalex.org/W2280957887","https://openalex.org/W2293597654","https://openalex.org/W2293824885","https://openalex.org/W2464915613","https://openalex.org/W2565639579","https://openalex.org/W2586937979","https://openalex.org/W2897841402","https://openalex.org/W2939001550","https://openalex.org/W2963813458","https://openalex.org/W2964280870","https://openalex.org/W6697214482","https://openalex.org/W6755412689"],"related_works":["https://openalex.org/W2159024673","https://openalex.org/W3001987467","https://openalex.org/W2968165261","https://openalex.org/W1603161560","https://openalex.org/W4252190074","https://openalex.org/W2154676777","https://openalex.org/W2950663250","https://openalex.org/W2133252868","https://openalex.org/W2088296667","https://openalex.org/W2963758661"],"abstract_inverted_index":{"Content-based":[0],"image":[1,14,150],"retrieval":[2,61,162],"can":[3,17,52,159],"quickly":[4],"find":[5],"images":[6],"associated":[7],"with":[8,166],"query":[9],"instance":[10],"from":[11,46],"large-scale":[12],"medical":[13],"databases,":[15],"which":[16],"provide":[18],"effective":[19],"aided":[20],"diagnosis":[21],"information":[22,58,121],"for":[23],"doctors,":[24],"and":[25,68,104,122,152],"is":[26,64,99,117,137],"beneficial":[27],"to":[28,42,59,71],"improve":[29,60],"the":[30,40,73,76,80,90,123,132,147,153,156,167],"accuracy":[31],"of":[32,56,75],"diagnosis.":[33],"Deep":[34],"supervised":[35,57,95],"hashing":[36,97,169],"not":[37],"only":[38],"has":[39,85],"ability":[41],"extract":[43],"rich":[44],"features":[45],"deep":[47,96],"neural":[48],"networks":[49],"but":[50],"also":[51,65],"make":[53],"full":[54],"use":[55],"accuracy.":[62],"It":[63],"more":[66],"efficient":[67],"memory-saving":[69],"due":[70],"reducing":[72],"dimension":[74],"feature":[77,102],"vectors":[78],"by":[79,111,119,128,164],"hash":[81],"mapping.":[82],"Therefore,":[83],"it":[84],"attracted":[86],"much":[87],"attention.":[88],"In":[89],"paper,":[91],"a":[92],"novel":[93],"end-to-end":[94],"method":[98,158],"proposed,":[100],"where":[101],"extraction":[103],"binary":[105],"code":[106],"learning":[107],"are":[108,126],"carried":[109],"out":[110],"joint":[112],"optimization.":[113],"The":[114],"semantic":[115],"similarity":[116],"maintained":[118],"label":[120],"neighborhood":[124],"structures":[125],"preserved":[127],"graph":[129],"regularization.":[130],"Moreover,":[131],"discrete":[133],"constrained":[134],"objective":[135],"function":[136],"optimized":[138],"directly":[139],"without":[140],"relaxation.":[141],"Experiments":[142],"have":[143],"been":[144],"conducted":[145],"on":[146],"pulmonary":[148],"nodule":[149],"dataset":[151],"results":[154],"demonstrate":[155],"proposed":[157],"yield":[160],"better":[161],"performance":[163],"comparing":[165],"state-of-the-art":[168],"methods.":[170]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}