{"id":"https://openalex.org/W4405271221","doi":"https://doi.org/10.1109/cvmi61877.2024.10782572","title":"Bone Fracture Detection using Region-Based Convolutional Neural Network","display_name":"Bone Fracture Detection using Region-Based Convolutional Neural Network","publication_year":2024,"publication_date":"2024-10-19","ids":{"openalex":"https://openalex.org/W4405271221","doi":"https://doi.org/10.1109/cvmi61877.2024.10782572"},"language":"en","primary_location":{"id":"doi:10.1109/cvmi61877.2024.10782572","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvmi61877.2024.10782572","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":null,"display_name":"V Pattabiraman","orcid":null},"institutions":[{"id":"https://openalex.org/I876193797","display_name":"Vellore Institute of Technology University","ror":"https://ror.org/00qzypv28","country_code":"IN","type":"education","lineage":["https://openalex.org/I876193797"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"V Pattabiraman","raw_affiliation_strings":["Vellore Institute of Technology,School of Computer Science and Engineering,Chennai,Tamil Nadu,India,600127"],"affiliations":[{"raw_affiliation_string":"Vellore Institute of Technology,School of Computer Science and Engineering,Chennai,Tamil Nadu,India,600127","institution_ids":["https://openalex.org/I876193797"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115395211","display_name":"K Hari Hara Sudhan","orcid":null},"institutions":[{"id":"https://openalex.org/I876193797","display_name":"Vellore Institute of Technology University","ror":"https://ror.org/00qzypv28","country_code":"IN","type":"education","lineage":["https://openalex.org/I876193797"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"K Hari Hara Sudhan","raw_affiliation_strings":["Vellore Institute of Technology,School of Computer Science and Engineering,Chennai,Tamil Nadu,India,600127"],"affiliations":[{"raw_affiliation_string":"Vellore Institute of Technology,School of Computer Science and Engineering,Chennai,Tamil Nadu,India,600127","institution_ids":["https://openalex.org/I876193797"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5096016623","display_name":"V Logeshwari","orcid":null},"institutions":[{"id":"https://openalex.org/I876193797","display_name":"Vellore Institute of Technology University","ror":"https://ror.org/00qzypv28","country_code":"IN","type":"education","lineage":["https://openalex.org/I876193797"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"V Logeshwari","raw_affiliation_strings":["Vellore Institute of Technology,School of Computer Science and Engineering,Chennai,Tamil Nadu,India,600127"],"affiliations":[{"raw_affiliation_string":"Vellore Institute of Technology,School of Computer Science and Engineering,Chennai,Tamil Nadu,India,600127","institution_ids":["https://openalex.org/I876193797"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I876193797"],"apc_list":null,"apc_paid":null,"fwci":0.3558,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.57766332,"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":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14510","display_name":"Medical Imaging and Analysis","score":0.95660001039505,"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":0.95660001039505,"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9157000184059143,"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/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7790706157684326},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7304609417915344},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.432503879070282},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32148560881614685}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7790706157684326},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7304609417915344},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.432503879070282},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32148560881614685}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cvmi61877.2024.10782572","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvmi61877.2024.10782572","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":21,"referenced_works":["https://openalex.org/W1502235192","https://openalex.org/W2511065100","https://openalex.org/W2771666064","https://openalex.org/W2901626212","https://openalex.org/W2940354300","https://openalex.org/W2949094210","https://openalex.org/W3007647093","https://openalex.org/W3016471443","https://openalex.org/W3019689650","https://openalex.org/W3023173618","https://openalex.org/W3103371431","https://openalex.org/W3115999170","https://openalex.org/W4224052406","https://openalex.org/W4237974817","https://openalex.org/W4303628264","https://openalex.org/W4312651489","https://openalex.org/W4382059335","https://openalex.org/W4385495695","https://openalex.org/W4387737920","https://openalex.org/W6759541126","https://openalex.org/W6851933513"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2033914206","https://openalex.org/W2042327336"],"abstract_inverted_index":{"Bone":[0],"fracture":[1,23,70],"detection":[2,71,109],"is":[3],"an":[4,40],"essential":[5],"process":[6],"in":[7,25,39,46,90],"medical":[8,47],"field":[9],"to":[10,22,76,114,195,204],"ensure":[11],"accurate":[12],"diagnosis":[13,24,37],"and":[14,74,99,119,147,164,177,201],"treatment.":[15],"This":[16,52],"study":[17,53],"focusses":[18],"on":[19,144],"novel":[20],"approach":[21,158],"X":[26],"Ray":[27],"images":[28,61,92,129],"that":[29,111,156],"uses":[30],"complex":[31],"machine":[32],"learning":[33],"algorithms.":[34],"As":[35],"early":[36],"results":[38,154],"effective":[41],"treatment,":[42],"finding":[43],"bone":[44,88,197],"fractures":[45,89,198],"imaging":[48],"became":[49],"very":[50],"crucial.":[51],"utilizes":[54],"a":[55,82,123],"substantial":[56],"dataset":[57,146],"of":[58,65,126,130,135,141,172],"annotated":[59,127],"X-ray":[60,91],"featuring":[62],"various":[63],"types":[64],"fractures.":[66,116,136],"Existing":[67],"methods":[68,110],"for":[69,86,189],"are":[72,106],"reviewed":[73],"compared":[75],"the":[77,139,157],"proposed":[78,160],"approach.":[79],"We":[80,137],"provide":[81],"neural":[83],"network-based":[84],"method":[85,143,184],"identifying":[87],"using":[93],"Region-Based":[94],"Convolutional":[95],"Neural":[96],"Network":[97],"(R-CNN)":[98],"You":[100],"Only":[101],"Look":[102],"Once":[103],"(YOLOV8)":[104],"which":[105],"well-known":[107],"object":[108],"we":[112,121,159],"employ":[113],"find":[115],"For":[117],"testing":[118],"training":[120],"use":[122,193],"large":[124],"collection":[125],"X-Ray":[128],"patients":[131],"with":[132,150,169],"different":[133],"kinds":[134],"evaluate":[138],"performance":[140],"our":[142],"this":[145],"compare":[148],"it":[149,194],"state-of-the-art":[151],"methods.":[152],"Our":[153],"demonstrate":[155],"yields":[161],"superior":[162],"precision":[163],"recall":[165],"than":[166],"alternative":[167],"approaches,":[168],"high":[170],"accuracy":[171],"$\\mathbf{9":[173,178],"6.":[174],"5":[175],"\\%}$":[176,180],"0":[179],"respectively.":[181],"The":[182],"recommended":[183],"can":[185,192],"be":[186],"reliable":[187],"tool":[188],"radiologists,":[190],"who":[191],"detect":[196],"more":[199],"rapidly":[200],"accurately,":[202],"leading":[203],"better":[205],"patient":[206],"outcomes.":[207]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}