We present a method to prompt a clinician to "suspicious" dense regions in temporal mammogram sequences. The particular context that we envisage is mammogram screening, when the clinician compares the most recent mammogram to previous ones in order to detect significant changes. The method uses anisotropic filtering as a pre-processing step in order to significantly reduce the number of candida...

Access to healthcare is essential in the pursuit of universal health coverage. Components of access are availability, accessibility (spatial and non-spatial), affordability and acceptability. Measuring spatial accessibility is common approach to evaluating access to health care. This study aimed to determine the availability and spatial accessibility of subsidised mammogram screening in Peninsu...

Digital image processing techniques are useful in abnormality detection in mammogram images. Recently, texture based image segmentation of mammogram images has become popular due to its better precision and accuracy. Local Binary Pattern has been a recently proposed texture descriptor which attracted the research community rigorously towards texture based analysis of digital images. Many textur...

High quality mammogram images are high resolution and large size images. Processing these images require high computational capabilities. The transmission of these images over the net is sometimes critical especially if the diagnosis of remote radiologists is required. In this paper, a preprocessing technique for reducing the size and enhancing the quality of USF and MIAS mammogram images is in...

In this paper, computer-aided detection and enhancement of microcalci cations in mammogram images are considered. The mammogram image is rst decomposed into subimages using a 'subband' decomposition lter bank which uses nonlinear lters. A suitably identi ed subimage is divided into overlapping square regions in which skewness and kurtosis as measures of the asymmetry and impulsiveness of the di...

Computer aided diagnosis (CAD) systems can be used as a second opinion to the radiologists for diagnosis of breast cancer from mammogram images. In this paper, we have proposed preprocessing method to remove noise from mammogram images. Then, enhancement has been performed. After that, background has been removed. Finally, pectoral muscle separation has been performed. It has been noted that re...

A NOVEL IMAGE ENHANCEMENT METHOD FOR MAMMOGRAM IMAGES Hongda Shen, M.S.T. Western Carolina University (March 2013) Director: Peter C. Tay, PhD Breast cancer has been reported by American Cancer Society as the second leading cause of death among all the cancers of women. It is also reported that the early detection of breast cancer can improve survival rate by allowing a wider range of treatment...

Micro calcification in digital mammogram are an important early sign of breast cancer and their early detection is very important to improve its diagnosis. Computerbased detection system can assist the radiologist to improve the diagnostic accuracy. Digital Mammogram is the low cost and effective for early detection of masses or abnormalities which related to the high risk factor of breast canc...

Mammography is at present most popular and available method for early detection of breast cancer. The most common breast abnormalities that may indicate breast cancer are masses and calcifications. The challenge is to quickly and accurately overcome the development of breast cancer, which affects more and more women through the world. Masses appear in a mammogram as fine, granular clusters, whi...