Xiaokun Qian: Comparing the effectiveness of " individual-loss " and " family-loss " messages in promoting mammography (Under the direction of Brian Southwell) The study compared the effectiveness of two loss-framed messages, namely, graphics and text therein with individual-loss or family-loss theme, in increasing women's intention to take and talk about mammogram, and level of negative emotio...

This paper describes a new approach for detection of Microcalcification using Evolutionary algorithms. The proposed system consists of two steps: First, the mammogram images are enhanced using median filter, normalized the image, pectoral muscle region is removed and the border of the mammogram is detected for both left and right images. Second, using the border points and nipple position as th...

-MRI and Mammogram is one of the best technologies currently being used for diagnosing breast cancer and brain tumour. Breast cancer and brain tumour is diagnosed at advanced stages with the help of the mammogram and MRI image. In this thesis an intelligent system is designed to diagnose tumour through mammograms, using image processing techniques along with intelligent optimization tools, such...

Microcalcifications in mammogram have been mainly targeted as a reliable earliest sign of breast cancer and their early detection is vital to improve its prognosis. Since their size is very small and may be easily overlooked by the examining radiologist, computer-based detection output can assist the radiologist to improve the diagnostic accuracy. In this paper, we have proposed an algorithm fo...

The average American radiologist interprets at least 1,777 mammogram reports each year, or approximately one new mammogram every 70 minutes [1]. Because radiologists interpret so many mammograms and because the proper interpretation of a screening mammogram is often a matter of life or death for the woman involved, various attempts have been made to streamline the mammography reporting process ...

Breast cancer is the primary and the most common disease found among women. It is responsible for rapid growth in mortality rate among all types of cancers in women. Today, mammography the most powerful screening technique is used for early detection of cancer which increases the chance of successful treatment. Screening with mammography can show changes in the breast up to 2-3years before a ph...

Among women, 12% possibility of developing a breast cancer and 3.5% possibility of mortality due to this cause is reported [1]. Nowadays early detection of breast cancer became very important. Mammogram a breast X-ray is used to investigate and diagnose breast cancer. In this paper, authors propose GLCM (Grey Level Co-occurrence Matrix) feature based improved mammogram classification using an a...

The purpose of this study was to identify factors associated with diagnostic follow-up after an abnormal mammogram in a national sample of women in the U.S. The sample was selected from the year 2000 National Health Interview Survey and included 1901 women aged 30 and above who reported ever having an abnormal mammogram. The outcome measure was receipt of at least some diagnostic follow-up afte...

We have devised a mammogram modeling system which greatly simplifies the development of, and can improve the accuracy and consistency of, computer-aided display and analysis algorithms for digital mammography. Our system segments the five major components of a mammogram: background, uncompressed-fat, fat, dense, and muscle. Differences in the amount and distribution of these components account ...

Early detection of breast cancer increases the survival rate and increases the treatment options. One of the most powerful techniques for early detection of breast cancer is based on digital mammogram. A system can be developed for assisting the analysis of digital mammograms using log-Gabor wavelet statistical features. The proposed system involves three major steps called Pre-processing, Proc...