The roles of physicists in medical imaging have expanded over the years, from the study of
imaging systems (sources and detectors) and dose to the assessment of image quality and …

Computer-aided diagnosis (CAD) is rapidly entering the radiology mainstream. It has
already become a part of the routine clinical work for the detection of breast cancer with …

Diagnostic problems abound for individuals, organizations, and society. The stakes are high,
often life and death. Such problems are prominent in the fields of health care, public safety …

In this paper, we investigate several state-of-the-art machine-learning methods for
automated classification of clustered microcalcifications (MCs). The classifier is part of a …

Linking commercial burglaries by modus operandi: tests using regression and ROC
analysis Page 1 Scientific and technical Linking commercial burglaries by modus operandi …

Breast cancer is the most common type of cancer among women in the western world. While
mammography is regarded as the most effective tool for the detection and diagnosis of …

We are developing computerized feature extraction and classification methods to analyze
malignant and benign microcalcifications on digitized mammograms. Morphological features …

The purpose of this study was to evaluate the performance of neural network model self-
organizing maps (SOM) in the classification of benign and malignant sonographic breast …

RATIONALE AND OBJECTIVES: Based on the definitions in mass category of Breast
Imaging Reporting and Data System developed by American College of Radiology, eight …

Background: The American College of Radiology has established guidelines for outcomes
monitoring known as the Breast Imaging Reporting and Data System (BIRADS). These …