BACKGROUND The cumulative risk of a false-positive mammogram can be substantial. We studied which variables affect the chance of a false-positive mammogram and estimated cumulative risks over nine sequential mammograms. METHODS We used medical records of 2227 randomly selected women who were 40-69 years of age on July 1, 1983, and had at least one screening mammogram. We used a Bayesian discr...

INTRODUCTION Breast cancer is the leading cancer in women today and the major challenge is late presentation then later contributes to poor outcome and high fatality rate. Mammography is effective in early detection of breast cancer and consequently significantly improves the breast cancer survival. MATERIALS AND METHODS This cross-sectional study was used to study the knowledge and awareness...

Breast cancer is the second-most common and leading cause of cancer death among women. A Computer Aided Diagnosis (CAD) system for the classification of microcalcification (tumor) lesions in mammogram images is presented in this work. The process uses tumor characteristics in mammogram images, such as shapes (circle or elliptical), sizes (2mm to 5mm), locations (distance from center) and intens...

Breast cancer is the most frequently diagnosed among women. Mammogram is a radiograph of the breast tissue and is one of the most effective, non-invasive methods of detecting breast cancer in its earliest and most treatable stage This paper aims at designing a breast cancer detection system based on Artificial Neural Network (ANN) and Image Processing Techniques in digital mammography. The effe...

A United Kingdom digital mammography national database would have major benefits for the United Kingdom. For example, such an archive could: provide a huge teaching and training resource; be able to aid in the evaluation of innovative software to compute the quality of each mammogram as it is sent to the archive; act as a significant resource for epidemiological studies; and be a tremendous ste...

The main purpose of the proposed system is to develop the diagnosis breast cancer from mammogram image. Presented system includes Preprocessing on mammogram image and uses wavelet feature extraction to improve sensitivity. The proposed system involves three major steps-Preprocessing, Feature Extraction and Classification. Gabor wavelets based features are extracted from medical mammogram images...

In recent years a large number of digital mammograms have been generated in hospitals and breast screening centers. To assist diagnosis through indexing those mammogram databases, we proposed a content-based image retrieval framework along with a novel feature extraction technique for describing the degree of calcification phenomenon revealed in the mammograms and six relevance feedback learnin...

How does it work? During a mammogram, a patient’s breast is placed on a flat support plate and compressed with a parallel plate called a paddle. An x-ray machine produces a small burst of x-rays that pass through the breast to a detector located on the opposite side. The detector can be either a photographic film plate, which captures the x-ray image on film, or a solid-state detector, which tr...