Textural Assessment in Digital Mammograms

This work focuses on testing textural and morphological parameters to assess characteristic features of digital mammograms. The selected images were radiological studies from the Instituto Nacional de Cancerología in Mexico City, evaluated as BI-RADS 4 or 5, meaning "probably malign" or "malign" findings, respectively. All patients were subjected to a biopsy procedure after the image was taken. The study group consisted of patients diagnosed with cancer, while the control group included those without cancer. We propose to analyze textural roughness by the mean height-width ratio of extrema (MHWRE) and morphological features by circularity. Results shows good differentiation (correct diagnosis) for 46% of the images, bad differentiation (wrong diagnosis) for 25%, and undetermined diagnosis for 29% of the cases.