Thermal signatures for breast cancer screening comparative study

In this paper the usefulness of the first and second order statistical parameter to calculate signatures of thermal images to distinguish healthy breast one with malignant tumor. We use image histogram and co-occurrence matrix to get thermal signatures and analyze symmetry between left and right side. The proposed approach was used in the pilot investigations in the medical centre which is permanently using thermograph) for breast cancer screening and therapy, as an adjacent method for other classical therapy, such as mammography.