In mammography the interesting characteristics of an image are malignant masses, microcalcifications and skin thickening, of which the last two are said to be indirect signs of malignancy. The mammograms, as normally viewed, display a small percentage of the information they detect and that is due to the minor difference in x-ray attenuation between normal glandular tissues and malignant diseas...

This paper presents a novel, edge-based segmentation method for identifying the mass contour (boundary) for a suspicious mass region (Region of Interest (ROI)) in a mammogram. The method first applies a contrast stretching function to adjust the image contrast, then uses a filtering function to reduce image noise. Next, for each pixel in a ROI, the energy descriptor (one of the Haralick descrip...

This paper presents a method for breast cancer diagnosis in digital mammogram images. Multi-resolution representations, wavelet or curvelet, are used to transform the mammogram images into a long vector of coefficients. A matrix is constructed by putting wavelet or curvelet coefficients of each image in row vector, where the number of rows is the number of images, and the number of columns is t...

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...

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...

The purpose is to determine breast cancer risk factors and correlates of mammographic parenchymal patterns among Alaska Native women. A retrospective review was performed of mammograms and mammogram records among 528 sequential screening mammogram examinations performed in Anchorage, Alaska. Mammogram density was classified by American College of Radiology (Breast Imaging Reporting and Data Sys...

OBJECTIVES Although rates for first-time and recent mammography screening have increased for women in the US in the past decade, rates for repeat mammography remain low. This study aimed to conduct an analysis of women's mammography experience, to examine the rates of repeat mammography and to identify the significant predictors of repeat mammography within 12 and 18 months of the index mammogr...

Breast cancer is a steadily growing disease that provides elevated mortality than other types for global women. The survival rate of this type can be uplifted through appropriate screening and diagnosis where the role early detection breast significant. In regard, design Computer-Aided Diagnosis (CAD) with improved reliability always in demand earlier detection. work proposed VGG-NiN architectu...

The number of breast cancer diagnosis is the biggest among all cancers, but it can be treated if diagnosed early. Mammography commonly used for detecting abnormalities and diagnosing cancer. Breast screening are still being performed by radiologists. In last decade, deep learning was successfully applied on big image classification databases such as ImageNet. Deep methods automated under invest...

The properties of the Radon transform are used to derive the transformation invariant to translation, rotation and scaling. The invariant transformation involves translation compensation, angle representation and 1-D Fourier transform. The new object recognition method is studied experimentally in two domains, mammogram labels recognition and face recognition. For mammogram labels, the recognit...