Affiliation:
1. Assistant Professor, Computer Science and Engineering.
2. Professor, Computer Science and Engineering.
Abstract
Osteoporosis disorder is exhibited by skeletal fractures in old age people. Ithas been developed into a serious health care issue in women. Low
BMD (bone mineral density)showsprimary cause ofOsteoporosis.TheOsteoporosisdetection in the early stage is necessary to take precautionary
steps. Here we have proposed a system to detectOsteoporosis in the rst stage. The input DXA images are considered; in the preprocessing steps,
the viewed input image is resized and de-noised using the NLMF method. The preprocessed imagesare considered for segmentation. ROI
segmented in the ROI, High energy, low energy, and low BMDfeatures are considered. The extracted features are trained using SVM classiers,
and based on the features Osteoporosis affected, and non-affected is classied.
Reference14 articles.
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