CADMIUM II is a system for the interpretation of mammograms. A novel aspect of the system is that it combines symbolic reasoning with image processing, in contrast with most other approaches, which use only image processing and rely on artificial neural networks (ANNs) to classify mammograms. A problem of ANNs is that the advice they give cannot be traced back to communicable diagnostic inferen...

This study evaluated the effects of interactive voice response (IVR) system reminders to managed care organization (MCO) members to obtain mammograms, Papanicolaou (Pap) tests, and influenza immunizations. The MCO identified 3 member cohorts and sent IVR reminders to get preventive services. Analyses employed claims data to examine relationships between IVR reminders and preventive service use ...

A digital mammogram generally detects varying degrees of breast cancer such as clustered microcalcifications, speculated lesions, circumscribed masses, ill-defined masses, and architectural distortions. Many methods of analysing digital mammograms have been recently examined and yielded varied success. Common techniques from the field of image processing have been applied to digital mammograms ...

Breast cancer is the second leading cause for death among women and it is diagnosed with the help of mammograms. Oncologists are miserably failed in identifying the micro calcification at the early stage with the help of the mammogram visually. In order to improve the performance of the breast cancer screening, most of the researchers have proposed Computer Aided Diagnosis using image processin...

We have been developing an automated detection algorithm for masses on mammograms. There were the cases of missed detections, in most of which the masses existed around thick-mammarygland region or near chest-wall region. The purpose of this study is to develop an algorithm for detecting such masses based on a sector-shape mass-pattern model. After applying the new technique along with our prev...

BACKGROUND Breast cancer rates in women with multiple breast symptoms have not been well described. METHODS We examined the association between self-reported symptoms (lump, nipple discharge, pain, other) and breast cancer risk for screening and diagnostic mammograms in 57,681 women. Subanalyses evaluated risk among women with no prior mammograms, new symptoms, and repeated symptoms. One thou...

Women who carry mutations in either the BRCA1 or BRCA2 genes are at risk for early-onset breast cancer and are recommended to begin screening mammography at age 25 to 30 years. Results of in vitro and animal studies suggest that BRCA1/BRCA2 mutation carriers are hypersensitive to ionizing radiation and possibly to radiation-induced breast cancer. This study was undertaken to investigate the ass...

The effect of reduction in dose levels normally used in mammographic screening procedures on the detection of breast lesions were analyzed. Four types of breast lesions were simulated and inserted into clinically-acquired digital mammograms. Dose reduction by 50% and 75% of the original clinically-relevant exposure levels were simulated by adding corresponding simulated noise into the original ...

OBJECTIVE In countries that have instituted national mammographic screening programmes, mortality from breast cancer has decreased by as much as 63%. Although mortality rates from breast cancer in Jamaica are high, there is no national mammographic screening programme. In this context, opportunistic screening, which depends on contact between healthcare provider and patient, as well as self-ref...