{"id":"https://openalex.org/W3021201059","doi":"https://doi.org/10.1109/access.2020.2992861","title":"Data Augmentation of X-Ray Images in Baggage Inspection Based on Generative Adversarial Networks","display_name":"Data Augmentation of X-Ray Images in Baggage Inspection Based on Generative Adversarial Networks","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3021201059","doi":"https://doi.org/10.1109/access.2020.2992861","mag":"3021201059"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.2992861","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2992861","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09087880.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09087880.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5061010069","display_name":"Yue Zhu","orcid":"https://orcid.org/0000-0002-8997-6784"},"institutions":[{"id":"https://openalex.org/I182722699","display_name":"Shenzhen Polytechnic University","ror":"https://ror.org/00d2w9g53","country_code":"CN","type":"education","lineage":["https://openalex.org/I182722699"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yue Zhu","raw_affiliation_strings":["Institute of Applied Artificial Intelligence of the Guangdong-Hong~Kong-Macao Greater Bay Area, Shenzhen Polytechnic, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-8997-6784","affiliations":[{"raw_affiliation_string":"Institute of Applied Artificial Intelligence of the Guangdong-Hong~Kong-Macao Greater Bay Area, Shenzhen Polytechnic, Shenzhen, China","institution_ids":["https://openalex.org/I182722699"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100747974","display_name":"Yutao Zhang","orcid":"https://orcid.org/0000-0002-4970-5090"},"institutions":[{"id":"https://openalex.org/I182722699","display_name":"Shenzhen Polytechnic University","ror":"https://ror.org/00d2w9g53","country_code":"CN","type":"education","lineage":["https://openalex.org/I182722699"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yutao Zhang","raw_affiliation_strings":["Institute of Applied Artificial Intelligence of the Guangdong-Hong~Kong-Macao Greater Bay Area, Shenzhen Polytechnic, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Applied Artificial Intelligence of the Guangdong-Hong~Kong-Macao Greater Bay Area, Shenzhen Polytechnic, Shenzhen, China","institution_ids":["https://openalex.org/I182722699"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103076960","display_name":"Haigang Zhang","orcid":"https://orcid.org/0000-0001-7696-3514"},"institutions":[{"id":"https://openalex.org/I182722699","display_name":"Shenzhen Polytechnic University","ror":"https://ror.org/00d2w9g53","country_code":"CN","type":"education","lineage":["https://openalex.org/I182722699"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haigang Zhang","raw_affiliation_strings":["Institute of Applied Artificial Intelligence of the Guangdong-Hong~Kong-Macao Greater Bay Area, Shenzhen Polytechnic, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0001-7696-3514","affiliations":[{"raw_affiliation_string":"Institute of Applied Artificial Intelligence of the Guangdong-Hong~Kong-Macao Greater Bay Area, Shenzhen Polytechnic, Shenzhen, China","institution_ids":["https://openalex.org/I182722699"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027644159","display_name":"Jinfeng Yang","orcid":"https://orcid.org/0000-0002-0769-1655"},"institutions":[{"id":"https://openalex.org/I182722699","display_name":"Shenzhen Polytechnic University","ror":"https://ror.org/00d2w9g53","country_code":"CN","type":"education","lineage":["https://openalex.org/I182722699"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinfeng Yang","raw_affiliation_strings":["Institute of Applied Artificial Intelligence of the Guangdong-Hong~Kong-Macao Greater Bay Area, Shenzhen Polytechnic, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Applied Artificial Intelligence of the Guangdong-Hong~Kong-Macao Greater Bay Area, Shenzhen Polytechnic, Shenzhen, China","institution_ids":["https://openalex.org/I182722699"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101419678","display_name":"Zihao Zhao","orcid":"https://orcid.org/0000-0003-2424-3368"},"institutions":[{"id":"https://openalex.org/I182722699","display_name":"Shenzhen Polytechnic University","ror":"https://ror.org/00d2w9g53","country_code":"CN","type":"education","lineage":["https://openalex.org/I182722699"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zihao Zhao","raw_affiliation_strings":["Institute of Applied Artificial Intelligence of the Guangdong-Hong~Kong-Macao Greater Bay Area, Shenzhen Polytechnic, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Applied Artificial Intelligence of the Guangdong-Hong~Kong-Macao Greater Bay Area, Shenzhen Polytechnic, Shenzhen, China","institution_ids":["https://openalex.org/I182722699"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I182722699"],"apc_list":{"value":1750,"currency":"USD","value_usd":1750},"apc_paid":{"value":1750,"currency":"USD","value_usd":1750},"fwci":1.8122,"has_fulltext":true,"cited_by_count":38,"citation_normalized_percentile":{"value":0.84012366,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"8","issue":null,"first_page":"86536","last_page":"86544"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12386","display_name":"Advanced X-ray and CT Imaging","score":0.9957000017166138,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12386","display_name":"Advanced X-ray and CT Imaging","score":0.9957000017166138,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.98580002784729,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9753000140190125,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8587850332260132},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6777663230895996},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6426304578781128},{"id":"https://openalex.org/keywords/generative-adversarial-network","display_name":"Generative adversarial network","score":0.6193808913230896},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5594136714935303},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5365114212036133},{"id":"https://openalex.org/keywords/one-shot","display_name":"One shot","score":0.5105898976325989},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.46039173007011414},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3962002694606781}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8587850332260132},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6777663230895996},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6426304578781128},{"id":"https://openalex.org/C2988773926","wikidata":"https://www.wikidata.org/wiki/Q25104379","display_name":"Generative adversarial network","level":3,"score":0.6193808913230896},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5594136714935303},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5365114212036133},{"id":"https://openalex.org/C2992734406","wikidata":"https://www.wikidata.org/wiki/Q413267","display_name":"One shot","level":2,"score":0.5105898976325989},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.46039173007011414},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3962002694606781},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2020.2992861","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2992861","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09087880.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:7a2a547c64e440e78376c324d9aa0b1b","is_oa":true,"landing_page_url":"https://doaj.org/article/7a2a547c64e440e78376c324d9aa0b1b","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 8, Pp 86536-86544 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.2992861","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2992861","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09087880.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3905560630","display_name":null,"funder_award_id":"61806208","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3021201059.pdf","grobid_xml":"https://content.openalex.org/works/W3021201059.grobid-xml"},"referenced_works_count":44,"referenced_works":["https://openalex.org/W1536680647","https://openalex.org/W2097117768","https://openalex.org/W2099471712","https://openalex.org/W2108315410","https://openalex.org/W2173520492","https://openalex.org/W2175342987","https://openalex.org/W2183341477","https://openalex.org/W2194775991","https://openalex.org/W2510597476","https://openalex.org/W2593414223","https://openalex.org/W2751049198","https://openalex.org/W2765253680","https://openalex.org/W2785678896","https://openalex.org/W2804078698","https://openalex.org/W2884065486","https://openalex.org/W2893749619","https://openalex.org/W2899013464","https://openalex.org/W2900815671","https://openalex.org/W2920654954","https://openalex.org/W2952716587","https://openalex.org/W2962793481","https://openalex.org/W2962879692","https://openalex.org/W2963037989","https://openalex.org/W2963073614","https://openalex.org/W2963091558","https://openalex.org/W2963552443","https://openalex.org/W2963684088","https://openalex.org/W2963836885","https://openalex.org/W2963981733","https://openalex.org/W2964286876","https://openalex.org/W2990478763","https://openalex.org/W3037695135","https://openalex.org/W3106250896","https://openalex.org/W4295521014","https://openalex.org/W4301206121","https://openalex.org/W4320013936","https://openalex.org/W6685352114","https://openalex.org/W6735913928","https://openalex.org/W6744093492","https://openalex.org/W6748582592","https://openalex.org/W6752378368","https://openalex.org/W6755312952","https://openalex.org/W6779841522","https://openalex.org/W6785652829"],"related_works":["https://openalex.org/W4226493464","https://openalex.org/W3133861977","https://openalex.org/W2951211570","https://openalex.org/W3103566983","https://openalex.org/W4293226391","https://openalex.org/W4283758926","https://openalex.org/W4389345324","https://openalex.org/W4391454837","https://openalex.org/W3047603829","https://openalex.org/W4403905164"],"abstract_inverted_index":{"Recognizing":[0],"prohibited":[1,53,102],"items":[2],"in":[3],"X-ray":[4,24,43,52,82,112,171],"security":[5,25,44,113,172],"checking":[6,26,45,114,173],"images":[7,55,79,104,107,174],"automatically":[8],"based":[9,70],"on":[10],"Convolutional":[11],"Neural":[12],"Networks":[13],"(CNNs)":[14],"has":[15,132],"attracted":[16],"attention":[17],"increasingly.":[18],"However,":[19],"there":[20],"are":[21,56,124],"no":[22],"suitable":[23],"image":[27],"databases":[28],"to":[29,74,108,126],"train":[30],"a":[31,38,48,67],"reliable":[32],"CNN":[33],"model.":[34],"Therefore,":[35],"we":[36,99],"propose":[37],"data":[39,134,168],"augmentation":[40,169],"method":[41,71,165],"for":[42,170],"images.":[46,83,115],"First,":[47],"lot":[49],"of":[50,89,142],"new":[51,91,111],"item":[54,77,94,103],"generated":[57],"using":[58],"the":[59,76,81,87,90,101,110,129,140,147,153,158],"improved":[60],"Self-Attention":[61],"Generative":[62],"Adversarial":[63],"Network":[64],"(SAGAN).":[65],"Next,":[66],"Cycle":[68],"GAN":[69],"is":[72,150],"proposed":[73],"transform":[75],"natural":[78],"into":[80],"It":[84,161],"can":[85,166],"enrich":[86],"diversity":[88],"images,":[92],"including":[93],"shape":[95],"and":[96],"pose.":[97],"Then,":[98],"combine":[100],"with":[105],"background":[106],"synthesize":[109],"Finally,":[116],"two":[117],"single":[118],"shot":[119],"multi-box":[120],"detector":[121],"(SSD)":[122],"models":[123],"applied":[125],"verify":[127],"whether":[128],"enlarged":[130,148],"database":[131,149],"achieved":[133],"augmentation.":[135],"Experimental":[136],"results":[137],"show":[138],"that":[139,163],"performance":[141],"SSD":[143,154],"model":[144,155],"trained":[145,156],"by":[146,157],"better":[151],"than":[152],"original":[159],"database.":[160],"implies":[162],"our":[164],"achieve":[167],"effectively.":[175]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":3}],"updated_date":"2026-08-28T12:50:07.497085","created_date":"2025-10-10T00:00:00"}
