{"id":"https://openalex.org/W4249783288","doi":"https://doi.org/10.35940/ijeat.b3827.129219","title":"Computer Based Bone Breakage Detection using Machine Learning Techniques","display_name":"Computer Based Bone Breakage Detection using Machine Learning Techniques","publication_year":2019,"publication_date":"2019-12-30","ids":{"openalex":"https://openalex.org/W4249783288","doi":"https://doi.org/10.35940/ijeat.b3827.129219"},"language":"en","primary_location":{"id":"doi:10.35940/ijeat.b3827.129219","doi":"https://doi.org/10.35940/ijeat.b3827.129219","is_oa":true,"landing_page_url":"https://doi.org/10.35940/ijeat.b3827.129219","pdf_url":"https://doi.org/10.35940/ijeat.b3827.129219","source":{"id":"https://openalex.org/S4210210796","display_name":"International Journal of Engineering and Advanced Technology","issn_l":"2249-8958","issn":["2249-8958"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":["poland-20"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Engineering and Advanced Technology","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.35940/ijeat.b3827.129219","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5037812745","display_name":"P. Neelakanteswara","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I875944469","display_name":"Koneru Lakshmaiah Education Foundation","ror":"https://ror.org/02k949197","country_code":"IN","type":"education","lineage":["https://openalex.org/I875944469"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"P. Neelakanteswara","raw_affiliation_strings":["Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India","institution_ids":["https://openalex.org/I875944469"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087756305","display_name":"Gummadi Kalyan Chakravarthy","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I875944469","display_name":"Koneru Lakshmaiah Education Foundation","ror":"https://ror.org/02k949197","country_code":"IN","type":"education","lineage":["https://openalex.org/I875944469"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"G Kalyan Chakravarthy","raw_affiliation_strings":["Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India","institution_ids":["https://openalex.org/I875944469"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052853449","display_name":"Ram Kumar Madupu","orcid":"https://orcid.org/0000-0002-0889-0429","observed_orcids":["https://orcid.org/0000-0002-0889-0429"]},"institutions":[{"id":"https://openalex.org/I875944469","display_name":"Koneru Lakshmaiah Education Foundation","ror":"https://ror.org/02k949197","country_code":"IN","type":"education","lineage":["https://openalex.org/I875944469"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Ram Kumr Madupu","raw_affiliation_strings":["Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India","institution_ids":["https://openalex.org/I875944469"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033696396","display_name":"Dorababu Sudarsa","orcid":"https://orcid.org/0000-0002-2339-4036","observed_orcids":["https://orcid.org/0000-0002-2339-4036"]},"institutions":[{"id":"https://openalex.org/I875944469","display_name":"Koneru Lakshmaiah Education Foundation","ror":"https://ror.org/02k949197","country_code":"IN","type":"education","lineage":["https://openalex.org/I875944469"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Dorababu Sudarsa","raw_affiliation_strings":["Blue Eyes Intelligence Engineering & Sciences","Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Blue Eyes Intelligence Engineering & Sciences","institution_ids":[]},{"raw_affiliation_string":"Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India","institution_ids":["https://openalex.org/I875944469"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I875944469"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.253261,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"9","issue":"2","first_page":"3695","last_page":"3698"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14510","display_name":"Medical Imaging and Analysis","score":0.9922000169754028,"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":0.9922000169754028,"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/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.0007999999797903001,"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/T10658","display_name":"Bone fractures and treatments","score":0.000699999975040555,"subfield":{"id":"https://openalex.org/subfields/2732","display_name":"Orthopedics and Sports 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/bone-fracture-detection","display_name":"bone fracture detection","score":0.9919999837875366},{"id":"https://openalex.org/keywords/x-ray-images","display_name":"X-ray images","score":0.9760000109672546},{"id":"https://openalex.org/keywords/neural-network","display_name":"artificial neural networks","score":0.8740000128746033},{"id":"https://openalex.org/keywords/probabilistic-neural-network","display_name":"probabilistic neural network","score":0.9399999976158142},{"id":"https://openalex.org/keywords/back-propagation-neural-network","display_name":"BP neural network","score":0.8190000057220459},{"id":"https://openalex.org/keywords/medical-image-classification","display_name":"medical image classification","score":0.781000018119812}],"concepts":[{"id":"https://openalex.org/C2776441800","wikidata":"https://www.wikidata.org/wiki/Q68833","display_name":"Bone fracture","level":2,"score":0.655925989151001},{"id":"https://openalex.org/C2779015675","wikidata":"https://www.wikidata.org/wiki/Q92796261","display_name":"Breakage","level":2,"score":0.6496936678886414},{"id":"https://openalex.org/C43369102","wikidata":"https://www.wikidata.org/wiki/Q2307625","display_name":"Fracture (geology)","level":2,"score":0.6272751688957214},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5831632614135742},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5168693661689758},{"id":"https://openalex.org/C68312169","wikidata":"https://www.wikidata.org/wiki/Q216685","display_name":"Orthopedic surgery","level":2,"score":0.4707931578159332},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4406241774559021},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.383028119802475},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3527790606021881},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.24625423550605774},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.20074689388275146},{"id":"https://openalex.org/C141071460","wikidata":"https://www.wikidata.org/wiki/Q40821","display_name":"Surgery","level":1,"score":0.18125897645950317},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.14574438333511353},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.07569959759712219},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.35940/ijeat.b3827.129219","doi":"https://doi.org/10.35940/ijeat.b3827.129219","is_oa":true,"landing_page_url":"https://doi.org/10.35940/ijeat.b3827.129219","pdf_url":"https://doi.org/10.35940/ijeat.b3827.129219","source":{"id":"https://openalex.org/S4210210796","display_name":"International Journal of Engineering and Advanced Technology","issn_l":"2249-8958","issn":["2249-8958"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":["poland-20"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Engineering and Advanced Technology","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.35940/ijeat.b3827.129219","doi":"https://doi.org/10.35940/ijeat.b3827.129219","is_oa":true,"landing_page_url":"https://doi.org/10.35940/ijeat.b3827.129219","pdf_url":"https://doi.org/10.35940/ijeat.b3827.129219","source":{"id":"https://openalex.org/S4210210796","display_name":"International Journal of Engineering and Advanced Technology","issn_l":"2249-8958","issn":["2249-8958"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":["poland-20"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Engineering and Advanced Technology","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.8371999859809875,"display_name":"Good health and well-being"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4249783288.pdf","grobid_xml":"https://content.openalex.org/works/W4249783288.grobid-xml"},"referenced_works_count":5,"referenced_works":["https://openalex.org/W4233167388","https://openalex.org/W4237442574","https://openalex.org/W4237935952","https://openalex.org/W4250379663","https://openalex.org/W4255387885"],"related_works":["https://openalex.org/W3091873472","https://openalex.org/W3081602080","https://openalex.org/W2155231874","https://openalex.org/W7217674961","https://openalex.org/W4285385172","https://openalex.org/W4319833091","https://openalex.org/W2014411891","https://openalex.org/W4403124341","https://openalex.org/W7170043907","https://openalex.org/W3200631931"],"abstract_inverted_index":{"X-Ray":[0],"is":[1,22,39,90],"one":[2],"of":[3,13,19,60,72,132],"the":[4,11,17,44,67,70,93,100,106,110],"most":[5,23],"commonly":[6],"used":[7,97,112],"medium":[8],"to":[9,29,35,52,66,75,98,125],"extract":[10],"images":[12],"any":[14,32],"bone":[15,21,83,104,114],"in":[16,25,69,102,105],"body.Fracture":[18],"a":[20,40,58,88,103],"common":[24],"recent":[26],"days":[27],"due":[28,51],"accidents":[30],"or":[31,42],"means.In":[33],"order":[34,74],"detect":[36,99],"whether":[37],"there":[38,55],"fracture":[41,84,115],"not":[43],"orthopaedics":[45],"suggest":[46],"for":[47,113],"x-ray.In":[48],"many":[49],"places":[50],"more":[53,121],"patients":[54],"might":[56],"be":[57],"delay":[59],"doctor":[61],"consult":[62],"which":[63],"may":[64],"leads":[65],"increase":[68],"severity":[71],"problem.In":[73],"avoid":[76],"this":[77],"we":[78],"have":[79],"proposed":[80],"an":[81,130],"automatic":[82],"detection":[85,116],"system":[86,89],"where":[87,117],"trained":[91],"about":[92],"fractures":[94,101],"and":[95,127],"further":[96],"x-ray":[107],"images.ANN,PNN.BPNN":[108],"are":[109],"classifiers":[111],"BPNN":[118],"has":[119],"given":[120],"prominent":[122],"results":[123],"compared":[124],"ANN":[126],"PNN":[128],"with":[129],"accuracy":[131],"82%.":[133]},"counts_by_year":[],"updated_date":"2026-10-30T12:39:25.321706","created_date":"2022-05-12T00:00:00"}
