Friday, 28 February 2020

MATLAB Code of Recognition of Osteoporosis of Bone through CT images

Today I am posting MATLAB Implementation of Recognition of Osteoporosis of Bone through CT images. This project is based on biomedical image processing. Osteoporosis is a progressive bone disease that's characterized by a decrease in bone mass and density and that leads to an increased risk of fracture. In osteoporosis, the bone mineral density (BMD) is reduced, bone micro architecture deteriorates, and the amount of variety of proteins in bone are altered. 


The objective of the Osteoporosis detection by using CT images based on Gray Level Co-occurrence Matrix and Rule based approach is to identify and distinguish between a normal bone image and osteoporotic bone image with its case as severe or non-severe.


Fig: Normal Bone and Osteoporosis Bone

MATLAB implementation:

Fig: Blank GUI

Fig: Bone Osteoporosis Classification GUI.

YouTube Video:


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