Abstract
Breast cancer is one of the leading causes of mortality between women, with one in eight women diagnosed with the disease, but early detection can reduce death rates. Therefore, continuous effort is being made to advance more effective methods for the early and effective diagnosis of breast cancer with high accuracy without human intervention. Classical attempts were manual, time- consuming and ineffective in many situations. The purpose of this work is to detect and locate the presence of malignant tissues in the breast using the morphological technique in mammogram images to diagnose breast cancer because morphology is one of the most reliable methods for early detection of breast cancer. The proposed algorithm is developed using watershed segmentation after the preprocessing is completed by the median filter to eliminate any expected noise, and contouring the tumor by morphological techniques to take the best diagnostic for breast cancer in a mammogram image. Good results are obtained for the measurements used like MSE, PSNR, SNR, entropy for the mammogram images.
Highlights
Cancer is a type of disease in which the cells are changed a propagate out of control
The tumors in breast tissues can be distinguished by their shapes, as the benign tumors are round or oval, while malignant tumors are round and have a spiky outline that appears to be whiter than surrounding tissue due to a presence of calcium deposits which is known as calcification [3]
The image processing methods are utilized to identify breast cancer in mammogram images using MATLAB, which needs careful processing to obtain an accurate diagnosis of the disease without error
Summary
Cancer is a type of disease in which the cells are changed a propagate out of control. Breast cancer occurs when breast tissues change and increase rapidly without control, forming a mass of additional tissues as shown in Figure (1). These tumors can be either malignant or beginner [2]. Most studies have demonstrated that ladies with a family ancestry of breast cancer, regardless of whether the family ancestry of the mother or the father, are more likely to have the disease than men [5]. Primary prevention of this cancer is not possible because the underlying reasons for the disease are still unclear. The early identification of the disease is the basic method to promote diagnosis of breast cancer [6]
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