Abstract

 
 
 
 
 
 The main aim of the Computer-Aided Detection/Diagnosis system is to assist the radiologists in examining the digital mammograms. Digital mammogram is the most popular screening technique for early detection of breast cancer. One of the problems in breast mammogram analysis is the presence of pectoral muscles region with high intensity in the upper right or left side of most Media-Lateral Oblique views of mammogram images. Therefore, it is important to remove this pectoral muscle from the image for accurate diagnosis results. The proposed method consists of three main steps. In the first step, noise is reduced using Median filtering. In the second step, artifacts removal and breast region extraction are performed using Otsu method. Finally, the pectoral muscle is extracted and removed using the proposed Split Orientation Local Thresholding (SOLTH) algorithm. For this study, a total of 110 mammogram images from the Mini-Mias database (MIAS) were used to evaluate the proposed method’s performance. The experimental results of automatic pectoral muscle detection and removal were observed by radiologist and showed 90.9% accuracy of acceptable results.
 
 
 
 
 
Highlights
Breast cancer is the second leading cause of cancer related death in women
If the pectoral muscle appears in the view of the Media-Lateral Oblique (MLO), the false positivity will be increased in the Computer-Aided Detection/Diagnosis (CAD) detection of the breast cancer in the mammogram image
Digital mammography is a technique used for early detection of breast cancer, which is one of the leading causes of death for women
Summary
Breast cancer is the second leading cause of cancer related death in women. early detection and diagnostics of breast cancer is substantially increasing the chance of survival [1,2]. The pectoral muscle is the other part that needs to be removed from the breast region It appears as a dense triangular region (i.e. bright pixels) in the top corner of the right or left side of the Media-Lateral Oblique (MLO) in the mammogram image [6]. If the pectoral muscle appears in the view of the MLO, the false positivity will be increased in the CAD detection of the breast cancer in the mammogram image. For this reason, the removal of the pectoral muscle from the mammogram image is necessary before any processing [5]
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