Detection of bone fractures using image processing techniques and artificial neural networks
| dc.contributor.author | Öztürk, Ö. | |
| dc.contributor.author | Kutucu, H. | |
| dc.date.accessioned | 2024-09-29T16:20:53Z | |
| dc.date.available | 2024-09-29T16:20:53Z | |
| dc.date.issued | 2017 | |
| dc.department | Karabük Üniversitesi | en_US |
| dc.description | 2017 International Artificial Intelligence and Data Processing Symposium, IDAP 2017 -- 16 September 2017 through 17 September 2017 -- Malatya -- 115012 | en_US |
| dc.description.abstract | The use of computer technology in medical sciences is spreading with technology. The use of computers especially for imaging has become a third eye for physicians. In orthopedic surgeons, after simple roentgenograms for fracture detection, the use of computerized tomography and magnetic resonance has provided great convenience in the detection of fracture, typing, and therefore the appropriate treatment of the patient. The advancing technology has increased the quality of the images in the x-rayograms, reduced artifacts and enabled digital measurements. In this study, image processing and learning techniques were used to diagnose long bone fractures. The proposed artificial neural network has 89% success rate. © 2017 IEEE. | en_US |
| dc.identifier.doi | 10.1109/IDAP.2017.8090311 | |
| dc.identifier.isbn | 978-153861880-6 | |
| dc.identifier.scopus | 2-s2.0-85039907904 | en_US |
| dc.identifier.scopusquality | N/A | en_US |
| dc.identifier.uri | https://doi.org/10.1109/IDAP.2017.8090311 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.14619/9382 | |
| dc.indekslendigikaynak | Scopus | en_US |
| dc.language.iso | tr | en_US |
| dc.publisher | Institute of Electrical and Electronics Engineers Inc. | en_US |
| dc.relation.ispartof | IDAP 2017 - International Artificial Intelligence and Data Processing Symposium | en_US |
| dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
| dc.rights | info:eu-repo/semantics/closedAccess | en_US |
| dc.subject | Artificial neural networks | en_US |
| dc.subject | Detection of bone fractures | en_US |
| dc.subject | Medical image processing | en_US |
| dc.subject | Segmentation | en_US |
| dc.title | Detection of bone fractures using image processing techniques and artificial neural networks | en_US |
| dc.title.alternative | Kemik Kiriklarinin Görüntü İşleme Teknikleri ve Yapay Sinir A?lari ile Tespiti | en_US |
| dc.type | Conference Object | en_US |
