Wavelet-based image analysis of Mammograms
The need to use reliable computer assisted diagnostic methods is becoming more and more crucial in mammography analysis. This is especially true in a state like Maine, and more generally in smaller hospitals, where there may only be one available radiologist to give a visual assessment of mammograms. We propose to offer a novel methodological approach to be eventually implemented into an automated breast cancer diagnosis assistant. Using the 2D Wavelet Transform Modulus Maxima (WTMM) method, the goal of this project is to determine the fractal dimension of microcalcification clusters and to eventually quantitatively discriminate between benign and malignant samples.