Novel Strategies Towards Early Bone Cancer Detection: Matlab Integrated Image Processing Approach

Abstract

This study uses MATLAB to apply sophisticated image processing techniques, with the goal of revolutionizing the field of bone cancer detection. The study focuses on early detection for bone tumors and uses multivariate photo sensors to record important data at different wavelengths. To improve bone pictures, MATLAB-based preprocessing techniques involving contrast enhancement & noise reduction are used. Afterward, the separation of features is carried out utilizing MATLAB techniques, with a focus on texture and form analysis. In the area of bone screening for cancer, the research attempts for better overall prognosis and early therapy methods by improving diagnosis accuracy. By using a cross-disciplinary strategy, the project hopes to improve computational techniques into medical imaging while also offering academics and doctors useful insights for the continuing battle of bone cancer.