Diagnosis of Malignant Bone Tumors Using Image Processing Technology

The diagnosis of human bone tumors is a vital issue in the field of orthopedics. Bones are not only the body structure that gives humans their distinctive shape, but also the basic support that supports them. In this context, the present study aimed to create a preliminary sample processing program, which consisted of computed tomography (CT) images of healthy and tumour affected bones. These samples were then categorized into various groups according to variation in statistical characteristics using the HDWT algorithm, which brought a new dimension to this research area, increasing the accuracy and efficiency of the algorithm.