Conversion of images into numerical models to determine the condition of breast health on contralateral

Breast cancer is a malignant tumor that is a major health problem for women. When the right breast has been infected by Breast cancer then the contralateral (left breast) should be examined to determine whether that particular area has also been affected by Breast cancer. To solve this problem, scientists have developed a computer Audit for early detection and diagnosis of breast cancer. Conversion of images to numerical models has many advantages and benefits in determining the condition of breast health, such as in determining the breast health percentage. Detection of micro-calcification has been developed by scientists using different methods of digital image processing. In this study, mathematical equations have been developed to determine the breast health by converting images to numerical models based on pixels intensity values that exist on a mammogram. The method uses the gray level image structure characteristics which are referred to as the physical quantity of the film. Linear regression analysis was used for the model analysis and physician collaboration was used to develop the phase suspicious maker. The results show that the conversion of images into numerical models is capable in determining the health condition of the contralateral breasts with a sensitivity of 93.75%.