Osteoporosis Detection by using CT Images based on Gray Level Co-occurrence Matrix and Rule based Approach |
Author(s): |
| Maya Deoker , P.V.P.I.T; S. N. Patil, P.V.P.I.T |
Keywords: |
| Bone Images, GLCM, SVM |
Abstract |
|
Image processing has a huge potential to do virtually anything. This project comes to the extent of details on detection of osteoporosis through CT scan images. Osteoporosis is a health ailment which causes bones to become so porous that they’ll break easily. Osteoporosis simply means 'porous bones’. Osteoporosis usually affects the complete skeleton however it most commonly causes breaks or fractures to the bones in the wrist, spine, and hip. The aim of the Osteoporosis detection by using CT images based on Gray Level Co-occurrence Matrix and Rule based approach is to recognize and distinguish between an ordinary bone image and osteoporotic bone image having its case as severe or non-severe. |
Other Details |
|
Paper ID: IJSRDV5I80149 Published in: Volume : 5, Issue : 8 Publication Date: 01/11/2017 Page(s): 79-81 |
Article Preview |
|
|
|
|
