{"id":"https://openalex.org/W4404031039","doi":"https://doi.org/10.1109/icccnt61001.2024.10723913","title":"Synthetic Image Generation for Improved Detection of Bone Defects Using GAN","display_name":"Synthetic Image Generation for Improved Detection of Bone Defects Using GAN","publication_year":2024,"publication_date":"2024-06-24","ids":{"openalex":"https://openalex.org/W4404031039","doi":"https://doi.org/10.1109/icccnt61001.2024.10723913"},"language":"en","primary_location":{"id":"doi:10.1109/icccnt61001.2024.10723913","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccnt61001.2024.10723913","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT)","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/A5114516028","display_name":"Brajesh Singh Pundir","orcid":null},"institutions":[{"id":"https://openalex.org/I101407740","display_name":"Chandigarh University","ror":"https://ror.org/05t4pvx35","country_code":"IN","type":"education","lineage":["https://openalex.org/I101407740"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Brajesh Singh Pundir","raw_affiliation_strings":["Chandigarh University,Department of CSE,Punjab,India"],"affiliations":[{"raw_affiliation_string":"Chandigarh University,Department of CSE,Punjab,India","institution_ids":["https://openalex.org/I101407740"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021104327","display_name":"Rakesh Kumar","orcid":"https://orcid.org/0000-0001-9926-6156"},"institutions":[{"id":"https://openalex.org/I101407740","display_name":"Chandigarh University","ror":"https://ror.org/05t4pvx35","country_code":"IN","type":"education","lineage":["https://openalex.org/I101407740"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Rakesh Kumar","raw_affiliation_strings":["Chandigarh University,Department of CSE,Punjab,India"],"affiliations":[{"raw_affiliation_string":"Chandigarh University,Department of CSE,Punjab,India","institution_ids":["https://openalex.org/I101407740"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074743573","display_name":"Meenu Gupta","orcid":"https://orcid.org/0000-0001-7366-0841"},"institutions":[{"id":"https://openalex.org/I101407740","display_name":"Chandigarh University","ror":"https://ror.org/05t4pvx35","country_code":"IN","type":"education","lineage":["https://openalex.org/I101407740"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Meenu Gupta","raw_affiliation_strings":["Chandigarh University,Department of CSE,Punjab,India"],"affiliations":[{"raw_affiliation_string":"Chandigarh University,Department of CSE,Punjab,India","institution_ids":["https://openalex.org/I101407740"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034368765","display_name":"Ahmed J. Obaid","orcid":"https://orcid.org/0000-0003-0376-5546"},"institutions":[{"id":"https://openalex.org/I47229656","display_name":"University of Kufa","ror":"https://ror.org/02dwrdh81","country_code":"IQ","type":"education","lineage":["https://openalex.org/I47229656"]}],"countries":["IQ"],"is_corresponding":false,"raw_author_name":"Ahmed J. Obaid","raw_affiliation_strings":["University of Kufa,Faculty of Computer Science and Mathematics,Dept of Computer Science,Najaf,Iraq"],"affiliations":[{"raw_affiliation_string":"University of Kufa,Faculty of Computer Science and Mathematics,Dept of Computer Science,Najaf,Iraq","institution_ids":["https://openalex.org/I47229656"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5114516028"],"corresponding_institution_ids":["https://openalex.org/I101407740"],"apc_list":null,"apc_paid":null,"fwci":0.3919,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.58566961,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14510","display_name":"Medical Imaging and Analysis","score":0.986299991607666,"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/T14510","display_name":"Medical Imaging and Analysis","score":0.986299991607666,"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":0.9366999864578247,"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/T10862","display_name":"AI in cancer detection","score":0.9017000198364258,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.5411725044250488},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4647698998451233},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43548816442489624},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.43044939637184143},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.4300561845302582},{"id":"https://openalex.org/keywords/optoelectronics","display_name":"Optoelectronics","score":0.3205784559249878}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5411725044250488},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4647698998451233},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43548816442489624},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.43044939637184143},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.4300561845302582},{"id":"https://openalex.org/C49040817","wikidata":"https://www.wikidata.org/wiki/Q193091","display_name":"Optoelectronics","level":1,"score":0.3205784559249878}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icccnt61001.2024.10723913","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccnt61001.2024.10723913","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT)","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":15,"referenced_works":["https://openalex.org/W2072265211","https://openalex.org/W2086967343","https://openalex.org/W2802583758","https://openalex.org/W2940948501","https://openalex.org/W2945263066","https://openalex.org/W2995072672","https://openalex.org/W3009705059","https://openalex.org/W3010723353","https://openalex.org/W3085826098","https://openalex.org/W3095349198","https://openalex.org/W3170031176","https://openalex.org/W3170567796","https://openalex.org/W3185084269","https://openalex.org/W4225162756","https://openalex.org/W4311776816"],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"Automated":[0],"Fractures":[1],"of":[2,37,47,73,83,92,100,115,137],"Bone":[3],"Detection":[4],"in":[5,10,50,151],"orthopedic":[6],"radiographs":[7],"is":[8],"crucial":[9],"assisting":[11],"doctors":[12],"to":[13,85,118],"correctly":[14],"and":[15,63,65,71,89,107,124,164],"properly":[16],"diagnose":[17],"fractures.":[18],"For":[19],"this":[20],"assignment,":[21],"we":[22],"investigate":[23],"a":[24,90],"Generative":[25],"Adversarial":[26],"Networks":[27],"(GAN)-based":[28],"solution":[29],"that":[30],"employs":[31],"sophisticated":[32],"artificial":[33,87,120],"intelligence":[34],"models":[35,49],"capable":[36],"producing":[38],"realistic":[39,101],"photos":[40],"while":[41],"detecting":[42],"anomalies.":[43],"It":[44],"display":[45],"efficiency":[46],"GAN-based":[48],"boosting":[51],"fracture":[52,130,148,156],"detection":[53,66,149,157],"performance":[54],"by":[55,80],"applying":[56],"multiple":[57],"assessment":[58],"criteria,":[59],"such":[60],"precision,":[61],"accuracy,":[62],"F1-score,":[64],"speed,":[67],"through":[68],"thorough":[69],"testing":[70],"evaluation":[72],"musculoskeletal":[74],"radiograph":[75],"datasets":[76],"(MURA).":[77],"GANs":[78,139],"function":[79],"retraining":[81],"networks":[82],"generators":[84],"produce":[86,119],"pictures":[88,121],"network":[91],"discriminators.":[93],"This":[94],"antagonistic":[95],"process":[96],"encourages":[97],"the":[98,135,160],"formation":[99],"radiography":[102],"with":[103,122,146],"fractures,":[104],"enabling":[105],"precise":[106],"automatic":[108],"detection.":[109],"Our":[110,153],"proposed":[111],"approach":[112],"makes":[113],"use":[114],"GANs\u2019":[116],"capability":[117],"cracks":[123],"recognize,":[125],"abnormal":[126],"patterns,":[127],"thereby":[128],"improving":[129],"diagnosis":[131],"These":[132],"findings":[133,154],"highlight":[134],"prospect":[136],"introducing":[138],"into":[140],"automated":[141],"evaluation,":[142],"which":[143],"might":[144],"assist":[145],"develop":[147],"systems":[150],"orthopaedics.":[152],"advance":[155],"approaches,":[158],"paving":[159],"way":[161],"for":[162],"improved":[163],"more":[165],"accurate":[166],"orthopaedic":[167],"diagnostic":[168],"tools.":[169]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}