Diagnosis of osteoporosis disease from bone X-ray images with stacked sparse autoencoder and SVM classifier

This paper focuses on the problem of osteoporosis disease diagnosis from bone X-ray images. The proposed approach takes advantage of the deep learning robustness to extract high-level features from low-level image (pixel intensities). However, the diagnosis of osteoporosis confronts two major challe...

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Vydané v:	2017 International Conference on Advanced Technologies for Signal and Image Processing (ATSIP) s. 1 - 5
Hlavní autori:	Nasser, Yassine, El Hassouni, Mohammed, Brahim, Abdelbasset, Toumi, Hechmi, Lespessailles, Eric, Jennane, Rachid
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.05.2017
Predmet:	bone X-Ray images Bones Deep learning Feature extraction feature learning Osteoporosis Sociology Stacked Sparse Autoencoder Support vector machines SVM Training X-ray imaging
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