Automatic diagnosis of intervertebral degenerative disk disease using artificial neural network
Yazarlar (3)
Dr. Öğr. Üyesi Yavuz ÜNAL Selçuk Universitesi, Türkiye
HE Kocer
Selçuk Universitesi, Türkiye
Selçuk Universitesi, Türkiye
HE Akkurt Selçuk Universitesi, Türkiye
| Makale Türü | Özgün Makale (Uluslararası alan indekslerindeki dergilerde yayınlanan tam makale) | ||
| Dergi Adı | 6th International Advanced Technologies Symposium (IATS'11) | ||
| Dergi Tarandığı Indeksler | |||
| Makale Dili | İngilizce | Basım Tarihi | 05-2011 |
| Cilt / Sayı / Sayfa | 0 / 0 / 16–18 | DOI | – |
| Makale Linki | https://scholar.google.com/scholar?cluster=14372689698345554213&hl=en&oi=scholarr | ||
| UAK Araştırma Alanları |
Görüntü İşleme
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| Özet |
| The cause of intervertebral degenerative disk disease is the reduction of fluid that acts as shock absorber intervertebral in the discs. Radiologists and doctors look at the images taken by medical imaging devices in order to diagnosis. However, due to personal errors such as fatigue, inexperience, oversight, wrong diagnosis is possible. In order to prevent these, computer-aided diagnostic (CAD) methods are mostly preferred. In this study, the cause of degenerative disc disease is diagnosed by Magnetic Resonance Imaging (MRI) using artificial neural networks method. For this purpose, the dimension of cropping region is determined by observing the sample images as 200x80 pixels. Then, using the wavelet transform, the gray level formatted MR images were feature extracted. These obtained feature vectors are sent to multi-layered perceptron artificial neural networks as an input in order to make a classification. As … |
| Anahtar Kelimeler |
