{"id":"https://openalex.org/W4409427852","doi":"https://doi.org/10.1109/icaihc64101.2025.10957249","title":"Bone Fracture Detection using CNN and VGG","display_name":"Bone Fracture Detection using CNN and VGG","publication_year":2025,"publication_date":"2025-01-10","ids":{"openalex":"https://openalex.org/W4409427852","doi":"https://doi.org/10.1109/icaihc64101.2025.10957249"},"language":"en","primary_location":{"id":"doi:10.1109/icaihc64101.2025.10957249","doi":"https://doi.org/10.1109/icaihc64101.2025.10957249","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icaihc64101.2025.10957249","pdf_url":null,"source":{"id":"https://openalex.org/S7407086251","display_name":"International Conference on Ambient Intelligence in Health Care (ICAIHC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"2025 International Conference on Ambient Intelligence in Health Care (ICAIHC)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","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":"Kasvi Soni","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I73779912","display_name":"Manipal University Jaipur","ror":"https://ror.org/040h76494","country_code":null,"type":"education","lineage":["https://openalex.org/I73779912"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Kasvi Soni","raw_affiliation_strings":["Manipal University Jaipur,Department of IoT and IS,Jaipur,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Manipal University Jaipur,Department of IoT and IS,Jaipur,India","institution_ids":["https://openalex.org/I73779912"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071153085","display_name":"Aanya Gupta","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I73779912","display_name":"Manipal University Jaipur","ror":"https://ror.org/040h76494","country_code":null,"type":"education","lineage":["https://openalex.org/I73779912"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Aanya Gupta","raw_affiliation_strings":["Manipal University Jaipur,Department of IoT and IS,Jaipur,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Manipal University Jaipur,Department of IoT and IS,Jaipur,India","institution_ids":["https://openalex.org/I73779912"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5117141197","display_name":"Karishma Dhyani","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I73779912","display_name":"Manipal University Jaipur","ror":"https://ror.org/040h76494","country_code":null,"type":"education","lineage":["https://openalex.org/I73779912"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Karishma Dhyani","raw_affiliation_strings":["Manipal University Jaipur,Department of IoT and IS,Jaipur,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Manipal University Jaipur,Department of IoT and IS,Jaipur,India","institution_ids":["https://openalex.org/I73779912"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037648159","display_name":"Sunil Kumar","orcid":"https://orcid.org/0000-0003-4617-704X","observed_orcids":["https://orcid.org/0000-0003-4617-704X"]},"institutions":[{"id":"https://openalex.org/I73779912","display_name":"Manipal University Jaipur","ror":"https://ror.org/040h76494","country_code":null,"type":"education","lineage":["https://openalex.org/I73779912"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sunil Kumar","raw_affiliation_strings":["Manipal University Jaipur,Department of IoT and IS,Jaipur,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Manipal University Jaipur,Department of IoT and IS,Jaipur,India","institution_ids":["https://openalex.org/I73779912"]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I73779912"],"apc_list":null,"apc_paid":null,"fwci":2.8961,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.83271077,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"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":0.9951000213623047,"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":0.9951000213623047,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.001500000013038516,"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.00039999998989515007,"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/bone-fracture-detection","display_name":"bone fracture detection","score":0.9940000176429749},{"id":"https://openalex.org/keywords/x-ray-images","display_name":"X-ray images","score":0.9269999861717224},{"id":"https://openalex.org/keywords/convolutional-neural-networks","display_name":"convolutional neural networks","score":0.9760000109672546},{"id":"https://openalex.org/keywords/vgg","display_name":"VGG","score":0.9710000157356262},{"id":"https://openalex.org/keywords/medical-image-classification","display_name":"medical image classification","score":0.875},{"id":"https://openalex.org/keywords/automated-fracture-diagnosis","display_name":"automated fracture diagnosis","score":0.5590000152587891},{"id":"https://openalex.org/keywords/image-preprocessing","display_name":"image preprocessing","score":0.36800000071525574},{"id":"https://openalex.org/keywords/edge-detection","display_name":"edge detection","score":0.7820000052452087},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"feature extraction","score":0.968999981880188}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6031888127326965},{"id":"https://openalex.org/C43369102","wikidata":"https://www.wikidata.org/wiki/Q2307625","display_name":"Fracture (geology)","level":2,"score":0.4751793444156647},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35217174887657166},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.2112906277179718},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.14418601989746094}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icaihc64101.2025.10957249","doi":"https://doi.org/10.1109/icaihc64101.2025.10957249","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icaihc64101.2025.10957249","pdf_url":null,"source":{"id":"https://openalex.org/S7407086251","display_name":"International Conference on Ambient Intelligence in Health Care (ICAIHC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"2025 International Conference on Ambient Intelligence in Health Care (ICAIHC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.8560000061988831}],"sustainable_development_goals_aurora":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W2149640062","https://openalex.org/W2289082036","https://openalex.org/W3016848186","https://openalex.org/W3123642833","https://openalex.org/W3129743251","https://openalex.org/W4205119367","https://openalex.org/W4289860887"],"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/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Technology":[0],"has":[1],"played":[2],"a":[3,70,99],"huge":[4],"role":[5],"in":[6,52,127],"human":[7],"evolution":[8],"since":[9],"time":[10],"immemorial.":[11],"Now":[12],"it":[13,55],"is":[14,138],"not":[15],"only":[16],"limited":[17],"to":[18,26,59,124,129],"engineers":[19],"and":[20,35,80,92,107,113],"data":[21,118],"scientists,":[22],"but":[23],"far":[24],"beyond,":[25],"even":[27],"medicine.":[28],"With":[29],"increasing":[30],"load":[31],"on":[32,98],"medical":[33],"professionals":[34],"healthcare":[36],"systems,":[37],"digitalization":[38],"can":[39,65],"come":[40],"handy.":[41],"The":[42,117],"traditional":[43],"X-ray":[44],"imaging":[45],"gives":[46],"unclear":[47],"images":[48,110],"of":[49,72,102],"bone":[50],"components":[51],"tissue":[53],"making":[54],"difficult":[56],"for":[57,120,131],"surgeons":[58],"diagnose.":[60],"Using":[61],"technology,":[62],"accurate":[63],"diagnosis":[64],"be":[66,125],"achieved.":[67],"This":[68],"includes":[69],"series":[71],"steps":[73],"comprising":[74],"pre-processing,":[75],"edge":[76],"detection,":[77],"feature":[78],"extraction":[79],"machine":[81],"learning":[82,85],"classifications.":[83],"Machine":[84],"algorithms":[86],"such":[87],"as":[88],"Convolutional":[89],"Neural":[90],"Networks(CNN)":[91],"Visual":[93],"Geometry":[94],"Group(VGG)":[95],"were":[96],"used":[97],"dataset":[100],"consisting":[101],"9246":[103],"training,":[104],"506":[105],"test":[106],"829":[108],"validation":[109],"with":[111],"0.95":[112],"0.85":[114],"accuracies":[115],"respectively.":[116],"loss":[119],"CNN":[121,137],"was":[122],"found":[123],"0.24":[126],"comparison":[128],"0.4":[130],"VGG.":[132],"So":[133],"from":[134],"statistical":[135],"inference,":[136],"better.":[139]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-10-09T09:14:12.587421","created_date":"2025-10-10T00:00:00"}
