A comparison of feature extraction techniques for diagnosis of lumbar intervertebral degenerative disc disease
Küçük Resim Yok
Tarih
2011
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
The reduction of fluid that acts as shock absorber placed in lumbar intervertebral discs causes pains and this case is named as degenerative disc disease. Magentic Resonance Imaging is generally used for diagnosis of this disease by radiologists or doctors. 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 work, the performance of two different feature extraction methods is compared. The saggital MR images taken from 9 patients were feature extracted by using grey level co-occurrence matrix (GLCM) and average absolute deviation (AAD) methods. The obtained feature vectors were classified by using multi-layered perceptron (MLP) artificial neural networks. © 2011 IEEE.
Açıklama
TUBITAK;IEEE
2011 International Symposium on INnovations in Intelligent SysTems and Applications, INISTA 2011 -- 15 June 2011 through 18 June 2011 -- Istanbul-Kadikoy -- 85879
2011 International Symposium on INnovations in Intelligent SysTems and Applications, INISTA 2011 -- 15 June 2011 through 18 June 2011 -- Istanbul-Kadikoy -- 85879
Anahtar Kelimeler
artificial neural networks, average absolute deviation, grey level co-occurrence matrix, intervertebral degenerative disk disease
Kaynak
INISTA 2011 - 2011 International Symposium on INnovations in Intelligent SysTems and Applications
WoS Q Değeri
Scopus Q Değeri
N/A
