{"id":"https://openalex.org/W3093832295","doi":"https://doi.org/10.1145/3424978.3425118","title":"Medical Image Synthetic Data Augmentation Using GAN","display_name":"Medical Image Synthetic Data Augmentation Using GAN","publication_year":2020,"publication_date":"2020-10-15","ids":{"openalex":"https://openalex.org/W3093832295","doi":"https://doi.org/10.1145/3424978.3425118","mag":"3093832295"},"language":"en","primary_location":{"id":"doi:10.1145/3424978.3425118","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3424978.3425118","pdf_url":null,"source":{"id":"https://openalex.org/S4306523839","display_name":"Proceedings of the 4th International Conference on Computer Science and Application Engineering","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 4th International Conference on Computer Science and Application Engineering","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/A5100420325","display_name":"Huijuan Zhang","orcid":"https://orcid.org/0000-0002-9279-9109"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Huijuan Zhang","raw_affiliation_strings":["School of Software Engineering, Tongji University, Shanghai China"],"affiliations":[{"raw_affiliation_string":"School of Software Engineering, Tongji University, Shanghai China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070707419","display_name":"Zongrun Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zongrun Huang","raw_affiliation_strings":["School of Software Engineering, Tongji University, Shanghai China"],"affiliations":[{"raw_affiliation_string":"School of Software Engineering, Tongji University, Shanghai China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033927804","display_name":"Zhongwei Lv","orcid":null},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]},{"id":"https://openalex.org/I4210132741","display_name":"Shanghai Tenth People's Hospital","ror":"https://ror.org/03vjkf643","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210132741"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhongwei Lv","raw_affiliation_strings":["Shanghai Tenth People's Hospital, Tongji University, Shanghai China"],"affiliations":[{"raw_affiliation_string":"Shanghai Tenth People's Hospital, Tongji University, Shanghai China","institution_ids":["https://openalex.org/I4210132741","https://openalex.org/I116953780"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100420325"],"corresponding_institution_ids":["https://openalex.org/I116953780"],"apc_list":null,"apc_paid":null,"fwci":1.3083,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.86062603,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9990000128746033,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9990000128746033,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9980000257492065,"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/T12357","display_name":"Digital Media Forensic Detection","score":0.9955000281333923,"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":0.7363996505737305},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.6746927499771118},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6428360939025879},{"id":"https://openalex.org/keywords/sensitivity","display_name":"Sensitivity (control systems)","score":0.6373365521430969},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6211186051368713},{"id":"https://openalex.org/keywords/generative-adversarial-network","display_name":"Generative adversarial network","score":0.5532094836235046},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.5232704877853394},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5181980729103088},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5127013921737671},{"id":"https://openalex.org/keywords/synthetic-data","display_name":"Synthetic data","score":0.49651461839675903},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4641975164413452},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4605717957019806},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.424483060836792},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.39042115211486816},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.08185043931007385},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0678742527961731}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7363996505737305},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.6746927499771118},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6428360939025879},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.6373365521430969},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6211186051368713},{"id":"https://openalex.org/C2988773926","wikidata":"https://www.wikidata.org/wiki/Q25104379","display_name":"Generative adversarial network","level":3,"score":0.5532094836235046},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.5232704877853394},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5181980729103088},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5127013921737671},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.49651461839675903},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4641975164413452},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4605717957019806},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.424483060836792},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39042115211486816},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.08185043931007385},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0678742527961731},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3424978.3425118","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3424978.3425118","pdf_url":null,"source":{"id":"https://openalex.org/S4306523839","display_name":"Proceedings of the 4th International Conference on Computer Science and Application Engineering","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 4th International Conference on Computer Science and Application Engineering","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1145049491","display_name":null,"funder_award_id":"15012150066","funder_id":"https://openalex.org/F4320336272","funder_display_name":"Key Laboratory of Ecology and Energy-saving Study of Dense Habitat (Tongji University), Ministry of Education"}],"funders":[{"id":"https://openalex.org/F4320336272","display_name":"Key Laboratory of Ecology and Energy-saving Study of Dense Habitat (Tongji University), Ministry of Education","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1686810756","https://openalex.org/W2125389028","https://openalex.org/W2133665775","https://openalex.org/W2163605009","https://openalex.org/W2173520492","https://openalex.org/W2194775991","https://openalex.org/W2548275288","https://openalex.org/W2604296437","https://openalex.org/W2618530766","https://openalex.org/W2766527293","https://openalex.org/W2775795276","https://openalex.org/W2782436336","https://openalex.org/W2794022343","https://openalex.org/W2809598685","https://openalex.org/W2884065486","https://openalex.org/W2954996726","https://openalex.org/W2962760235","https://openalex.org/W2963942586","https://openalex.org/W2964121744","https://openalex.org/W6678815747"],"related_works":["https://openalex.org/W4375867731","https://openalex.org/W2611989081","https://openalex.org/W4230611425","https://openalex.org/W2795259429","https://openalex.org/W4389345324","https://openalex.org/W2945050830","https://openalex.org/W3109499659","https://openalex.org/W4382315317","https://openalex.org/W2966641257","https://openalex.org/W4399530423"],"abstract_inverted_index":{"Most":[0],"medical":[1,63],"image":[2,64],"datasets":[3],"are":[4,57],"limited":[5],"and":[6,92,108],"unbalanced.":[7],"The":[8,81],"classification":[9,31,82],"method":[10,40,75],"based":[11,41],"on":[12,23,42,61],"deep":[13,54],"neural":[14,55],"networks":[15,56],"is":[16,76],"prone":[17],"to":[18,49,59,105],"under-fitting":[19],"or":[20],"over-fitting":[21],"problems":[22],"such":[24],"data":[25,38,71,87,99],"sets,":[26],"which":[27,47],"affects":[28],"the":[29,51,70,97,101],"final":[30],"performance.":[32],"This":[33],"paper":[34],"proposes":[35],"a":[36],"synthetic":[37,98],"augmentation":[39,88],"progressive":[43],"generative":[44],"adversarial":[45],"network,":[46],"aims":[48],"solve":[50],"problem":[52],"that":[53,69],"difficult":[58],"train":[60],"small-scale":[62],"datasets.":[65],"Experimental":[66],"results":[67,102],"show":[68],"synthesized":[72],"by":[73],"this":[74],"better":[77],"than":[78],"existing":[79],"methods.":[80],"performance":[83],"using":[84],"only":[85],"classic":[86],"yielded":[89],"76.8%":[90],"sensitivity":[91,107],"88.4%":[93],"specificity.":[94,110],"By":[95],"applying":[96],"augmentation,":[100],"significantly":[103],"increased":[104],"84.2%":[106],"92.1%":[109]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
