Detection of edges in an image is a very important step towards understanding image features. Since edges often occur at image locations representing object boundaries, edge detection is extensively used in image segmentation when images are divided into areas corresponding to different objects. This can be used specifically for enhancing the tumor area in mammographic images. Different methods...

Abstract— Mammogram analysis usually refers to processing of mammograms with the goal of finding abnormality presented in the mammogram. Mammogram segmentation is one of the most critical tasks in automatic mammogram image analysis. Main purpose of mammogram segmentation is to segment suspicious regions by means of an adaptive threshold. In image processing, one of the most efficient techniques...

conclusions in this study, we proposed a new computer aided diagnostic tool for the detection and classification of breast cancer. the obtained results showed that the proposed method is more reliable in diagnostic to assist the radiologists in the detection of abnormal data and to improve the diagnostic accuracy. results after classification with the ensemble supervised algorithm, the performa...

Introduction: In this paper, a method is presented to classify the breast cancer masses according to new geometric features. Methods: After obtaining digital breast mammogram images from the digital database for screening mammography (DDSM), image preprocessing was performed. Then, by using image processing methods, an algorithm was developed for automatic extracting of masses from other norma...

OBJECTIVE To explore knowledge and beliefs (perceived risk factors, susceptibility, benefits, common barriers, and cultural barriers) in relation to mammography screening practices among Chinese American women. DESIGN A descriptive study guided by the Health Belief Model. SETTING Metropolitan area in the northwestern United States. PARTICIPANTS One hundred Chinese immigrant women, 40 year...