This work proposes the design of a teaching system for training students in the interpretation of mammograms and diagnosis of breast cancer. The proposed system integrates an illustrated tutorial on radiology of the breast, that is, mammography, which uses education techniques to guide the user (doctors, students, or researchers) through various concepts related to the diagnosis of breast cance...

BACKGROUND Mammography is the primary imaging technique for detection and diagnosis of breast cancer; however, the contrast of a mammogram image is often poor, especially for dense and glandular tissues. In these cases the radiologist may miss some diagnostically important microcalcifications. In order to improve diagnosis of cancer correctly, image enhancement technology is often used to enhan...

AIMS AND OBJECTIVES Breast positioning is the key factor affecting a mammogram. If care is taken during positioning, it maximizes the amount of breast tissue being imaged, eliminates most of the artifacts, and increases sensitivity of the mammogram. This retrospective study was carried out in our department to assess correctness, and also the incorrectness of breast positioning, which need to b...

In this article we present SDCA, which is a system to detect cancerous abnormalities in digital mammograms. The SDCA try to give at radiologist a second opinion in the analysis of a digital mammogram to increase the reliability of detecting breast cancer. SDCA is a semiautomation of KDD process (Knowledge Discovery in Databases). The KDD process is a method that uses strategies of Artificial In...

Many image processing techniques have been developed over the past two decades to help radiologists in diagnosing breast cancer. At the same time, many studies proven that an early diagnosis of breast cancer can increase the survival rate, thus making screening programmes a mandatory step for females. Radiologists have to examine a large number of images. Digital Mammogram has emerged as the mo...

In this study, the mammogram is classified as either normal or cancer pattern. In the last few decades soft computing improves the accuracy of the breast cancer detection in digital mammograms. The standard approach for diagnosis of breast cancer is biopsy. But biopsy makes patient discomfort, bleeding and infection. The CAD (Computer Aided Diagnosis) is developed for the reason of avoid unnece...

Two methods for segmentation and visualization of microcalcifications in digital or digitized mammograms are described. First method is based on modern mathematical morphology, while the second one uses the multifractal approach. In the first method, by using an appropriate combination of some morphological operations, high local contrast enhancement, followed by significant suppression of back...

INTRODUCTION Breast cancer is the most commonly diagnosed cancer and the 2nd leading cause of cancer-related deaths among women in the U.S. Although routine screening via mammogram has been shown to increase survival through early detection and treatment of breast cancer, only 3 out of 5 women age ≥40 are compliant with annual mammogram within the U.S. and the state of Florida. A breadth of lit...

PURPOSE/OBJECTIVES To compare the differences in mammogram completion rates over time between Chinese American women with and without a history of mammogram screening
. DESIGN Secondary analysis of a randomized, controlled intervention study. SETTING Metropolitan areas of Portland, Oregon. SAMPLE 300 foreign-born Chinese immigrant women aged 40 years or older. Of these, 83 women (28%) had...