A High Precision Deep-CNN Framework for Classification of Metabolic Bone Diseases Among Women

Nowadays women are prone to a variety of metabolic bone diseases like osteoporosis, osteopetrosis, osteomalacia, paget's disease etc. due to calcium deficiency. The existing works fail to dynamically learn generic features of bone from the X-ray image and precisely classify the metabolic bone diseases. So, in this paper a convoluted neural network architecture embedded with deep layers is proposed which significantly classifies the bone diseases with high precision and a lowered error value.