{"id":"https://openalex.org/W4312532575","doi":"https://doi.org/10.1109/access.2022.3211670","title":"CycleGAN Clinical Image Augmentation Based on Mask Self-Attention Mechanism","display_name":"CycleGAN Clinical Image Augmentation Based on Mask Self-Attention Mechanism","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4312532575","doi":"https://doi.org/10.1109/access.2022.3211670"},"language":"en","primary_location":{"id":"doi:10.1109/access.2022.3211670","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3211670","pdf_url":null,"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":null,"license_id":null,"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://doi.org/10.1109/access.2022.3211670","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5075483337","display_name":"Junzhuo Liu","orcid":"https://orcid.org/0000-0002-5155-5781"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Junzhuo Liu","raw_affiliation_strings":["Key Laboratory of Data Engineering and Visual Computing, Chongqing University of Posts and Telecommunications, Chongqing, China","Key Laboratory of Data Engineering and Visual Computing, Chongqing University of Posts and Telecommunications, Chongqing, P.R.China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Data Engineering and Visual Computing, Chongqing University of Posts and Telecommunications, Chongqing, China","institution_ids":["https://openalex.org/I10535382"]},{"raw_affiliation_string":"Key Laboratory of Data Engineering and Visual Computing, Chongqing University of Posts and Telecommunications, Chongqing, P.R.China","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100700403","display_name":"Zhixiang Wang","orcid":"https://orcid.org/0000-0002-4778-7539"},"institutions":[{"id":"https://openalex.org/I4210161616","display_name":"Maastro Clinic","ror":"https://ror.org/059wkzj26","country_code":"NL","type":"healthcare","lineage":["https://openalex.org/I4210161616"]},{"id":"https://openalex.org/I2800191616","display_name":"Maastricht University Medical Centre","ror":"https://ror.org/02d9ce178","country_code":"NL","type":"funder","lineage":["https://openalex.org/I2800191616"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Zhixiang Wang","raw_affiliation_strings":["Department of Radiation Oncology (Maastro), GROW School for Oncology and Developmental Biology, Maastricht University Medical Centre&#x002B;, Maastricht, The Netherlands"],"affiliations":[{"raw_affiliation_string":"Department of Radiation Oncology (Maastro), GROW School for Oncology and Developmental Biology, Maastricht University Medical Centre&#x002B;, Maastricht, The Netherlands","institution_ids":["https://openalex.org/I4210161616","https://openalex.org/I2800191616"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100449301","display_name":"Ye Zhang","orcid":"https://orcid.org/0000-0002-0979-4746"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ye Zhang","raw_affiliation_strings":["Key Laboratory of Data Engineering and Visual Computing, Chongqing University of Posts and Telecommunications, Chongqing, China","Key Laboratory of Data Engineering and Visual Computing, Chongqing University of Posts and Telecommunications, Chongqing, P.R.China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Data Engineering and Visual Computing, Chongqing University of Posts and Telecommunications, Chongqing, China","institution_ids":["https://openalex.org/I10535382"]},{"raw_affiliation_string":"Key Laboratory of Data Engineering and Visual Computing, Chongqing University of Posts and Telecommunications, Chongqing, P.R.China","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008606043","display_name":"Alberto Traverso","orcid":"https://orcid.org/0000-0001-6183-4429"},"institutions":[{"id":"https://openalex.org/I2800191616","display_name":"Maastricht University Medical Centre","ror":"https://ror.org/02d9ce178","country_code":"NL","type":"funder","lineage":["https://openalex.org/I2800191616"]},{"id":"https://openalex.org/I4210161616","display_name":"Maastro Clinic","ror":"https://ror.org/059wkzj26","country_code":"NL","type":"healthcare","lineage":["https://openalex.org/I4210161616"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Alberto Traverso","raw_affiliation_strings":["Department of Radiation Oncology (Maastro), GROW School for Oncology and Developmental Biology, Maastricht University Medical Centre&#x002B;, Maastricht, The Netherlands"],"affiliations":[{"raw_affiliation_string":"Department of Radiation Oncology (Maastro), GROW School for Oncology and Developmental Biology, Maastricht University Medical Centre&#x002B;, Maastricht, The Netherlands","institution_ids":["https://openalex.org/I4210161616","https://openalex.org/I2800191616"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013513157","display_name":"Andr\u00e9 Dekker","orcid":"https://orcid.org/0000-0002-0422-7996"},"institutions":[{"id":"https://openalex.org/I2800191616","display_name":"Maastricht University Medical Centre","ror":"https://ror.org/02d9ce178","country_code":"NL","type":"funder","lineage":["https://openalex.org/I2800191616"]},{"id":"https://openalex.org/I4210161616","display_name":"Maastro Clinic","ror":"https://ror.org/059wkzj26","country_code":"NL","type":"healthcare","lineage":["https://openalex.org/I4210161616"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Andre Dekker","raw_affiliation_strings":["Department of Radiation Oncology (Maastro), GROW School for Oncology and Developmental Biology, Maastricht University Medical Centre&#x002B;, Maastricht, The Netherlands"],"affiliations":[{"raw_affiliation_string":"Department of Radiation Oncology (Maastro), GROW School for Oncology and Developmental Biology, Maastricht University Medical Centre&#x002B;, Maastricht, The Netherlands","institution_ids":["https://openalex.org/I4210161616","https://openalex.org/I2800191616"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100390131","display_name":"Zhen Zhang","orcid":"https://orcid.org/0000-0001-6335-9529"},"institutions":[{"id":"https://openalex.org/I4210161616","display_name":"Maastro Clinic","ror":"https://ror.org/059wkzj26","country_code":"NL","type":"healthcare","lineage":["https://openalex.org/I4210161616"]},{"id":"https://openalex.org/I2802573037","display_name":"Tianjin Medical University Cancer Institute and Hospital","ror":"https://ror.org/0152hn881","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I2802573037"]},{"id":"https://openalex.org/I2800191616","display_name":"Maastricht University Medical Centre","ror":"https://ror.org/02d9ce178","country_code":"NL","type":"funder","lineage":["https://openalex.org/I2800191616"]}],"countries":["CN","NL"],"is_corresponding":false,"raw_author_name":"Zhen Zhang","raw_affiliation_strings":["Department of Radiation Oncology (Maastro), GROW School for Oncology and Developmental Biology, Maastricht University Medical Centre&#x002B;, Maastricht, The Netherlands","Department of Radiation Oncology, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"Department of Radiation Oncology (Maastro), GROW School for Oncology and Developmental Biology, Maastricht University Medical Centre&#x002B;, Maastricht, The Netherlands","institution_ids":["https://openalex.org/I4210161616","https://openalex.org/I2800191616"]},{"raw_affiliation_string":"Department of Radiation Oncology, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China","institution_ids":["https://openalex.org/I2802573037"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072153328","display_name":"Qiaosong Chen","orcid":"https://orcid.org/0000-0002-4763-5359"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiaosong Chen","raw_affiliation_strings":["Key Laboratory of Data Engineering and Visual Computing, Chongqing University of Posts and Telecommunications, Chongqing, China","Key Laboratory of Data Engineering and Visual Computing, Chongqing University of Posts and Telecommunications, Chongqing, P.R.China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Data Engineering and Visual Computing, Chongqing University of Posts and Telecommunications, Chongqing, China","institution_ids":["https://openalex.org/I10535382"]},{"raw_affiliation_string":"Key Laboratory of Data Engineering and Visual Computing, Chongqing University of Posts and Telecommunications, Chongqing, P.R.China","institution_ids":["https://openalex.org/I10535382"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5075483337"],"corresponding_institution_ids":["https://openalex.org/I10535382"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.1073,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.79039863,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"10","issue":null,"first_page":"105942","last_page":"105953"},"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":0.9987999796867371,"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":0.9987999796867371,"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":0.991599977016449,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9908999800682068,"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":0.8635956048965454},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6194058656692505},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5618147253990173},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5419325828552246},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5254240036010742},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.49009832739830017},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4495861530303955},{"id":"https://openalex.org/keywords/generator","display_name":"Generator (circuit theory)","score":0.4386346638202667},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35748517513275146}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8635956048965454},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6194058656692505},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5618147253990173},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5419325828552246},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5254240036010742},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.49009832739830017},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4495861530303955},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.4386346638202667},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35748517513275146},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/access.2022.3211670","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3211670","pdf_url":null,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:cris.maastrichtuniversity.nl:openaire/0e11bb87-4190-4539-bf39-1a17616c4f77","is_oa":false,"landing_page_url":"https://cris.maastrichtuniversity.nl/en/publications/0e11bb87-4190-4539-bf39-1a17616c4f77","pdf_url":null,"source":{"id":"https://openalex.org/S4306402616","display_name":"Research Publications (Maastricht University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I34352273","host_organization_name":"Maastricht University","host_organization_lineage":["https://openalex.org/I34352273"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Liu, J Z, Wang, Z X, Zhang, Y, Traverso, A, Dekker, A, Zhang, Z & Chen, Q S 2022, 'CycleGAN Clinical Image Augmentation Based on Mask Self-Attention Mechanism', IEEE Access, vol. 10, pp. 105942-105953. https://doi.org/10.1109/ACCESS.2022.3211670","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:doaj.org/article:67e7c9c3df714c449b92afc7700ef685","is_oa":true,"landing_page_url":"https://doaj.org/article/67e7c9c3df714c449b92afc7700ef685","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 10, Pp 105942-105953 (2022)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2022.3211670","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3211670","pdf_url":null,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.699999988079071,"id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G4531981","display_name":null,"funder_award_id":"2022YFE0101000","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W1580389772","https://openalex.org/W2194775991","https://openalex.org/W2562637781","https://openalex.org/W2785678896","https://openalex.org/W2900756484","https://openalex.org/W2943899226","https://openalex.org/W2958269485","https://openalex.org/W2962793481","https://openalex.org/W2962851801","https://openalex.org/W2963074253","https://openalex.org/W2963466845","https://openalex.org/W2970753430","https://openalex.org/W2979830539","https://openalex.org/W2980316415","https://openalex.org/W2997941792","https://openalex.org/W3004492706","https://openalex.org/W3010705637","https://openalex.org/W3012157858","https://openalex.org/W3013277995","https://openalex.org/W3024017681","https://openalex.org/W3024801014","https://openalex.org/W3121038207","https://openalex.org/W3124580379","https://openalex.org/W3127526425","https://openalex.org/W3131250779","https://openalex.org/W3135057764","https://openalex.org/W3137239976","https://openalex.org/W3156313549","https://openalex.org/W3159829317","https://openalex.org/W3160484698","https://openalex.org/W3193244333","https://openalex.org/W3209695820","https://openalex.org/W3215916782","https://openalex.org/W3216826802","https://openalex.org/W4205456819","https://openalex.org/W4224139907","https://openalex.org/W4246040217","https://openalex.org/W6638667902","https://openalex.org/W6735913928","https://openalex.org/W6748582592","https://openalex.org/W6752009473","https://openalex.org/W6755625687","https://openalex.org/W6779669310","https://openalex.org/W6804061671"],"related_works":["https://openalex.org/W4375867731","https://openalex.org/W4391621807","https://openalex.org/W2012531322","https://openalex.org/W2402761219","https://openalex.org/W2611989081","https://openalex.org/W4226493464","https://openalex.org/W3133861977","https://openalex.org/W2951211570","https://openalex.org/W3103566983","https://openalex.org/W3176926761"],"abstract_inverted_index":{"With":[0],"the":[1,6,18,35,49,53,85,117,120,136,170,174,185,197,202,227,244,253,265,278,283,291,294,309,318,325,353,362],"development":[2],"of":[3,8,39,89,135,144,313,355],"society":[4],"and":[5,10,76,87,112,184,205,208,229,237,255,257,282,302,311,321,341,358],"advancement":[7],"science":[9],"technology,":[11],"artificial":[12],"intelligence":[13],"has":[14,178,334,342],"also":[15],"emerged":[16],"as":[17,132],"times":[19],"require.":[20],"In":[21],"computer":[22],"vision,":[23],"deep":[24,40],"learning":[25,41],"based":[26],"on":[27,84,91,106,277],"convolutional":[28],"neural":[29],"networks(CNN)":[30],"achieves":[31],"state-of-the-art":[32],"performance.":[33,345],"However,":[34,173],"massive":[36],"data":[37,68,90,131,145,186,199,218,323,329,359],"requirements":[38],"have":[42,206],"long":[43],"been":[44],"a":[45,99,103,133,141,214],"pain":[46],"point":[47],"in":[48,52,79,155,182,337,361],"field,":[50,55],"especially":[51,181],"medical":[54,156],"where":[56],"it":[57],"is":[58,123,152,224,249,271,371],"often":[59,124],"difficult":[60],"(and":[61],"sometimes":[62],"impossible)":[63],"to":[64,125,129,139,160,164,226,251,263,273,307],"obtain":[65],"enough":[66],"training":[67,245],"for":[69],"some":[70],"specific":[71],"tasks.":[72],"To":[73,115,195,242],"overcome":[74],"insufficient":[75,356],"unbalanced":[77],"data,":[78],"this":[80,107,211],"paper,":[81],"we":[82],"focus":[83],"generation":[86,158],"balance":[88],"radiation-induced":[92,279],"pneumonia,":[93],"an":[94],"extremely":[95,110],"rare":[96],"disease":[97,108],"with":[98,317],"low":[100],"incidence.":[101],"As":[102],"result,":[104],"datasets":[105],"are":[109,240,261,305],"sparse":[111],"unevenly":[113,187],"distributed.":[114],"address":[116],"above":[118],"problems,":[119],"predecessors\u2019":[121],"method":[122,177,333,351],"use":[126],"generative":[127,149],"models":[128],"generate":[130],"complement":[134],"fewer":[137],"samples":[138,200,357],"achieve":[140,165],"balanced":[142],"distribution":[143],"samples.":[146],"Among":[147],"various":[148],"models,":[150],"CycleGAN":[151,176,217,320],"widely":[153],"used":[154,262,272],"image":[157],"due":[159],"its":[161,189],"cycle":[162],"consistency":[163],"style":[166],"migration":[167],"without":[168],"changing":[169],"basic":[171],"content.":[172],"original":[175,203,266,319],"many":[179],"shortcomings,":[180],"Few-shot":[183],"distributed,":[188],"performance":[190,289,336],"will":[191],"be":[192],"greatly":[193],"reduced.":[194],"make":[196],"generated":[198],"retain":[201],"structure":[204],"finer":[207],"clearer":[209],"details,":[210],"paper":[212],"proposes":[213],"mask-based":[215],"self-attention":[216,222],"augmentation":[219,330],"method.":[220,315],"A":[221],"branch":[223],"added":[225],"generator":[228],"two":[230],"different":[231],"loss":[232,260],"functions":[233],"named":[234],"Self-Attention":[235],"Loss":[236,239],"Mask":[238],"designed.":[241],"stabilize":[243],"process,":[246],"spectral":[247],"normalization":[248],"introduced":[250],"improve":[252,264],"discriminator":[254],"MS-SSIM":[256],"L1":[258],"joint":[259],"identity":[267],"loss.":[268],"The":[269],"ResNet18":[270],"complete":[274],"classification":[275,288,339,344],"experiments":[276],"pneumonia":[280,363,368],"dataset":[281,285,364],"COVID-19":[284],"respectively.":[286],"Four":[287],"indicators:":[290],"area":[292],"under":[293],"ROC":[295],"curve":[296],"(AUC),":[297],"Accuracy":[298],"(ACC),":[299],"Sensitivity":[300],"(SEN),":[301],"Specificity":[303],"(SPE)":[304],"calculated":[306],"verify":[308],"effectiveness":[310],"generalization":[312],"our":[314,332,350],"Compared":[316],"traditional":[322],"augmentation,":[324],"classifier":[326],"trained":[327],"by":[328,365],"using":[331],"outstanding":[335],"multiple":[338],"indicators":[340],"better":[343],"Experimental":[346],"results":[347],"show":[348],"that":[349],"solves":[352],"problem":[354],"imbalance":[360],"generating":[366],"high-quality":[367],"images.":[369],"Code":[370],"available":[372],"at":[373],"https://github.com/ngfufdrdh/CycleGAN-lung.":[374]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
