In this paper, a novel classification technique for large data set of mammograms using a deep learning method is proposed. The proposed model targets a three-class classification study (normal, malignant, and benign cases). In our model we have presented two methods, namely, convolutional neural network-discrete wavelet (CNN-DW) and convolutional neural network-curvelet transform (CNN-CT). An a...

CONTEXT Multiple national agencies and organizations recommend that women age 40 years and older have an annual screening mammogram. Women who are poor, less educated, lack a usual source of care, and reside in rural Appalachia are less likely to have had a recent mammogram. PURPOSE To increase use of mammography among a rural Appalachian population. METHODS Formed in 1992, the Indiana Coun...

Mammogram images are sensitive in nature and even a minor change in the environment affects the quality of the images. Due to the lack of expert radiologists, it is difficult to interpret the mammogram images. In this paper an algorithm is proposed for a computer-aided diagnosis system, which is based on the wavelet based adaptive sigmoid function. The cascade feed-forward back propagation tech...

In this paper we have proposed a fully automated Computer Aided Diagnostic (CADx) system that can aid the radiologists in reading vast number of mammograms generated during screening procedures. The aim of the proposed system is to minimize the number of false positives and the number of false negatives. The remarkable potential of contourlet transform in extracting texture features of images w...

In this paper, a new image-matching mathematical model is presented with its application to mammogram registration. In a variational framework, an energy minimization problem is formulated and a multigrid resolution algorithm is designed. The model focuses on the matching of regions of interest. It also combines several constraints which are both intensity and segmentation based. A new feature ...

PURPOSE/OBJECTIVES To develop and pilot test a text message notification process to reduce follow-up time for women with abnormal mammograms.
. DESIGN Formative analysis; randomized trial with delayed intervention control group.
. SETTING Tiburcio Vasquez Health Clinic (TVHC), a federally qualified health center in Hayward, California.
. SAMPLE 29 Spanish-speaking Latinas with abnormal ma...

OBJECTIVES To quantify the effect of previous false-positive mammogram results on rescreening rates in a population of women participating in the BreastScreen WA (BSWA) program. DESIGN AND PARTICIPANTS Retrospective cohort study of women aged 50-69 years who received free screening mammograms at BSWA between 1 January 1995 and 31 December 2007. MAIN OUTCOME MEASURES Percentages of women att...

Introduction Mammography quality is a significant issue of national concern. The Mammography Quality Standards Act (MQSA) extends regulation to an unprecedented level of detail in the practice of medicine; however, the Act pertains to the technical quality of mammography and is largely silent on the critical issue of the radiologist’s proficiency in interpreting examination results. The reason ...