{"id":"https://openalex.org/W4405270492","doi":"https://doi.org/10.1109/cvmi61877.2024.10782852","title":"Advancing Medical Imaging: A Comparative Exploration of Generative Adversarial Networks for Chest X-ray Synthesis","display_name":"Advancing Medical Imaging: A Comparative Exploration of Generative Adversarial Networks for Chest X-ray Synthesis","publication_year":2024,"publication_date":"2024-10-19","ids":{"openalex":"https://openalex.org/W4405270492","doi":"https://doi.org/10.1109/cvmi61877.2024.10782852"},"language":"en","primary_location":{"id":"doi:10.1109/cvmi61877.2024.10782852","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvmi61877.2024.10782852","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Computer Vision and Machine Intelligence (CVMI)","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/A5110611215","display_name":"R Keerthi","orcid":null},"institutions":[{"id":"https://openalex.org/I196608512","display_name":"PES University","ror":"https://ror.org/05m169e78","country_code":"IN","type":"education","lineage":["https://openalex.org/I196608512"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"R Keerthi","raw_affiliation_strings":["PES University,Dept. of Computer Science,Bangalore,India"],"affiliations":[{"raw_affiliation_string":"PES University,Dept. of Computer Science,Bangalore,India","institution_ids":["https://openalex.org/I196608512"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Kuval Kiran","orcid":null},"institutions":[{"id":"https://openalex.org/I196608512","display_name":"PES University","ror":"https://ror.org/05m169e78","country_code":"IN","type":"education","lineage":["https://openalex.org/I196608512"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Kuval Kiran","raw_affiliation_strings":["PES University,Dept. of Computer Science,Bangalore,India"],"affiliations":[{"raw_affiliation_string":"PES University,Dept. of Computer Science,Bangalore,India","institution_ids":["https://openalex.org/I196608512"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035659026","display_name":"Shreya Kiran","orcid":"https://orcid.org/0009-0005-9991-5239"},"institutions":[{"id":"https://openalex.org/I196608512","display_name":"PES University","ror":"https://ror.org/05m169e78","country_code":"IN","type":"education","lineage":["https://openalex.org/I196608512"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Ss Kiran","raw_affiliation_strings":["PES University,Dept. of Computer Science,Bangalore,India"],"affiliations":[{"raw_affiliation_string":"PES University,Dept. of Computer Science,Bangalore,India","institution_ids":["https://openalex.org/I196608512"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054931585","display_name":"P. Likitha","orcid":null},"institutions":[{"id":"https://openalex.org/I196608512","display_name":"PES University","ror":"https://ror.org/05m169e78","country_code":"IN","type":"education","lineage":["https://openalex.org/I196608512"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"P Likitha","raw_affiliation_strings":["PES University,Dept. of Computer Science,Bangalore,India"],"affiliations":[{"raw_affiliation_string":"PES University,Dept. of Computer Science,Bangalore,India","institution_ids":["https://openalex.org/I196608512"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5110611215"],"corresponding_institution_ids":["https://openalex.org/I196608512"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.38864347,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9921000003814697,"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"}},"topics":[{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9921000003814697,"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.989799976348877,"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/T10202","display_name":"Lung Cancer Diagnosis and Treatment","score":0.921500027179718,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"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/adversarial-system","display_name":"Adversarial system","score":0.7518366575241089},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6159048676490784},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.5820911526679993},{"id":"https://openalex.org/keywords/medical-imaging","display_name":"Medical imaging","score":0.5346537828445435},{"id":"https://openalex.org/keywords/generative-adversarial-network","display_name":"Generative adversarial network","score":0.4902356266975403},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4360044598579407},{"id":"https://openalex.org/keywords/medical-physics","display_name":"Medical physics","score":0.3334881663322449},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.22730985283851624},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.18687167763710022}],"concepts":[{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.7518366575241089},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6159048676490784},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.5820911526679993},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.5346537828445435},{"id":"https://openalex.org/C2988773926","wikidata":"https://www.wikidata.org/wiki/Q25104379","display_name":"Generative adversarial network","level":3,"score":0.4902356266975403},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4360044598579407},{"id":"https://openalex.org/C19527891","wikidata":"https://www.wikidata.org/wiki/Q1120908","display_name":"Medical physics","level":1,"score":0.3334881663322449},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.22730985283851624},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.18687167763710022}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cvmi61877.2024.10782852","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvmi61877.2024.10782852","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Computer Vision and Machine Intelligence (CVMI)","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":0,"referenced_works":[],"related_works":["https://openalex.org/W2888032422","https://openalex.org/W2996316059","https://openalex.org/W4385421777","https://openalex.org/W4377980832","https://openalex.org/W2897769091","https://openalex.org/W2845413374","https://openalex.org/W3005996785","https://openalex.org/W4297411772","https://openalex.org/W4235873501","https://openalex.org/W2034850138"],"abstract_inverted_index":{"Chest":[0],"X-ray":[1,52],"imaging":[2],"is":[3,27],"essential":[4],"for":[5,24,54],"diagnosing":[6],"and":[7,17,84,107,158,167,185],"treatment":[8],"planning":[9],"of":[10,33,42,73,116,123,136,149,187],"individuals":[11],"with":[12,118],"diseases":[13,57],"like":[14],"COVID-19,":[15],"Tuberculosis,":[16],"Pneumonia.":[18],"However,":[19],"creating":[20],"efficient":[21],"machine-learning":[22],"algorithms":[23],"early":[25],"detection":[26],"made":[28],"difficult":[29],"by":[30,164],"a":[31,100],"lack":[32],"labeled":[34],"medical":[35],"images.":[36,139],"The":[37,151,170],"study":[38,65,98,171],"investigates":[39],"the":[40,97,113,119,134,137,141,183],"possibility":[41],"using":[43],"Generative":[44,74,80,87],"Adversarial":[45,75,81,88],"Networks":[46],"(GANs)":[47],"to":[48,60,132,175],"create":[49],"synthetic":[50],"chest":[51],"images":[53,162],"various":[55],"lung":[56],"in":[58,177],"order":[59],"address":[61],"this":[62,110,144],"issue.":[63],"This":[64],"compares":[66],"three":[67],"distinct":[68],"GAN":[69,95,125],"architectures:":[70],"Progressive":[71],"Growing":[72],"Network":[76,82,89],"(ProGAN),":[77],"Deep":[78],"Convolutional":[79],"(DCGAN),":[83],"Auxiliary":[85],"Classifier":[86],"(ACGAN).":[90],"Acknowledging":[91],"constraints":[92],"within":[93],"existing":[94],"architectures,":[96],"employs":[99],"hybrid":[101],"methodology.":[102],"To":[103],"improve":[104],"training":[105],"stability":[106],"image":[108],"quality,":[109],"method":[111],"combines":[112],"progressive":[114],"generation":[115],"ProGAN":[117],"Gradient":[120],"Penalty":[121],"loss":[122],"Wasserstein":[124],"(WGAN-GP).":[126],"An":[127],"InceptionV3":[128],"classifier":[129,145,152],"was":[130],"used":[131],"assess":[133],"quality":[135],"generated":[138,163],"On":[140],"original":[142],"dataset,":[143],"recorded":[146],"an":[147],"accuracy":[148,160],"91%.":[150],"achieved":[153],"$72.08":[154],"\\%,":[155],"68.62":[156],"\\%$,":[157],"45.50%":[159],"on":[161],"ProGAN,":[165],"DCGAN,":[166],"ACGAN,":[168],"respectively.":[169],"demonstrates":[172],"GANs":[173],"potential":[174],"assist":[176],"alleviating":[178],"data":[179],"scarcity,":[180],"hence":[181],"improving":[182],"precision":[184],"effectiveness":[186],"machine":[188],"learning":[189],"algorithm":[190],"training.":[191]},"counts_by_year":[],"updated_date":"2026-04-17T18:11:37.981687","created_date":"2025-10-10T00:00:00"}
