-MRI and Mammogram is one of the best technologies currently being used for diagnosing breast cancer and brain tumour. Breast cancer and brain tumour is diagnosed at advanced stages with the help of the mammogram and MRI image. In this thesis an intelligent system is designed to diagnose tumour through mammograms, using image processing techniques along with intelligent optimization tools, such...

A framework for computer-aided analysis of mammograms is described. General computer vision algorithms are combined with application specific procedures in a hierarchical fashion. The system is under development and is currently limited to detection of a few types of suspicious areas. The image features are extracted by using feature extraction methods where wavelet techniques are utilized. A l...

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...

PURPOSE To investigate the factors affecting the mammographic breast dose. MATERIALS AND METHODS The assessment was done on 622 qualified mammograms obtained with use of "variable kV" technique, i. e., semiautomatic mode, in screen-film mammography. Actual breast doses were calculated and analyzed to determine the roles of two screens and three films, two anode/filter selections (Mo/Mo and Mo...

We have evaluated a method for synthesizing mammograms by comparing the texture of clinical and synthetic mammograms. The synthesis algorithm is based upon simulations of breast tissue and the mammographic imaging process. Mammogram texture was synthesized by projections of simulated adipose tissue compartments. It was hypothesized that the synthetic and clinical texture have similar properties...

BACKGROUND Early detection of breast cancer is associated with the accurate reading of screening mammograms, but factors that influence reading accuracy are not well understood. We thus investigated whether reading volume and other factors were independently associated with accuracy in reading screening mammograms in a population of U.S. radiologists. METHODS A random selection of 110 of 292 ...