Picture archiving and communication systems (PACS) are typical information systems, which may be undermined by unauthorized users who have illegal access to the systems. This paper proposes a role-based access control framework comprising two main components – a content-based steganographic module and a reversible watermarking module, to protect mammograms on PACSs. Within this framework, the c...

The introduction of the Mammography Screening Program (MSP) in 2005 has changed the early detection of breast cancer in Germany significantly. We analyzed the frequency and ensuing health care costs of mammograms performed for the early detection of breast cancer before and after the introduction of the MSP. Furthermore, we analyzed the influence of the MSP on the demographics of physicians (gy...

BACKGROUND While Medicare claims are a potential resource for clinical mammography research or quality monitoring, the validity of key data elements remains uncertain. Claims codes for digital mammography and computer-aided detection (CAD), for example, have not been validated against a credible external reference standard. METHODS We matched Medicare mammography claims for women who received...

Mammograms are essential radiological images used to diagnose breast cancer well in advance. However, an accurate diagnosis also depends on the quality of mammogram images. Therefore, removal artefacts and enhancement necessary pre-processing steps. Artefact helps exclude unsolicited regions mammograms limits search for suspicious without excessive impact from background. Mammogram enhancements...

Mammograms are used to screen for breast cancer and computerized analysis of these images can aid radiologists in detecting the disease. Any computerized method to analyze digitized mammograms must first partition the image into its visually and anatomically distinct regions. The pectoral muscle appears on mediolateral oblique views of mammograms and needs to be identified and segmented out bef...

In mammography the presence of subtle abnormalities such as stellate patterns and architectual distortions indicates possible malignancy. Radiologists do not always detect these abnormalities in screening mammograms; this has led to interest in computer–aided mammographic interpretation where the radiologist is presented with computer–generated ’prompts’ for abnormalities. A first step in this ...

BACKGROUND Radiologists differ in their ability to interpret screening mammograms accurately. We investigated the relationship of radiologist characteristics to actual performance from 1996 to 2001. METHODS Screening mammograms (n = 469,512) interpreted by 124 radiologists were linked to cancer outcome data. The radiologists completed a survey that included questions on demographics, malpract...

Nowadays computer aided design / diagnosis plays a vital role in detection of breast cancer. This paper deals with an intelligent diagnosis system based on wavelet analysis and principle component analysis. Support vector machine classifi er is used to classify mammograms as either normal or abnormal. Abnormal mammograms are those which include mammograms containing masses and microcalcifi cati...

Of the papers dealing with the task of mammogram registration, the majority deal with the task by matching corresponding control-points derived from anatomical landmark points. One of the caveats encountered when using pure point-matching techniques is their reliance on accurately extracted anatomical features-points. This paper proposes an innovative approach to matching mammograms which combi...