We have devised a mammogram modeling system which greatly simplifies the development of, and can improve the accuracy and consistency of, computer-aided display and analysis algorithms for digital mammography. Our system segments the five major components of a mammogram: background, uncompressed-fat, fat, dense, and muscle. Differences in the amount and distribution of these components account ...

background: mammography is the primary imaging technique for detection and diagnosis of breast cancer; however, the contrast of a mammogram image is often poor, especially for dense and glandular tissues. in these cases the radiologist may miss some diagnostically important microcalcifications. in order to improve diagnosis of cancer correctly, image enhancement technology is often used to enha...

Our aim is to propose a new approach to breast pattern classification that will aid in the development of an automated mammographic density analysis procedure. Breast patterns broadly classify the mammographic density and density distribution of each mammogram in order to provide a framework for assessing the risk of breast cancer according to density. However, basic weaknesses of classifying m...

Early detection of breast cancer increases the survival rate and increases the treatment options. One of the most powerful techniques for early detection of breast cancer is based on digital mammogram. A system can be developed for assisting the analysis of digital mammograms using log-Gabor wavelet statistical features. The proposed system involves three major steps called Pre-processing, Proc...

Mammogram is measured the most consistent method for early detection of breast cancer. Computer-aided diagnosis system is also able to support radiologist to detect abnormalities earlier and more rapidly. In this paper the performance evaluation of the computer aided diagnostic system for the classification of mass classification in digital mammogram based on Discrete Wavelet Transform (DWT), S...

Digital breast tomosynthesis combines the advantages of digital mammography and 3D breast imaging. To facilitate the comparison of new tomosynthesis images with previous mammographic exams of the same woman, there is a need for a method to register a mammogram with tomosynthetic images of the same breast; this is the focus of our paper. We have chosen to approach this multimodality registration...

Computer aided detection/diagnosis aims at assisting radiologist in the analysis of digital mammograms. Digital mammogram has emerged as the most popular screening technique for early detection of breast cancer and other abnormalities in human breast tissue. The pectoral muscle represents a predominant density region in most mammograms and can affect/bias the results of image processing methods...

Breast cancer is a serious problem and common form of cancer diagnosed in the woman. Computer Aided Diagnosis (CAD) is a tool which can assist the radiologists in the detection of abnormalities in medical images. In this study, a CAD system for breast cancer using X-ray mammography is presented with a high level of sensitivity by wavelet entropy features. Discrete Wavelet Transform (DWT) of a d...

In the medical field, detection of breast cancer may be a mysterious task. Physicians must deduce conclusion from significantly vague knowledge base. A mammogram can offer early diagnosis at low cost if breasts' satisfactory images are analyzed. multi-decision Intuitionistic Fuzzy Evidential Reasoning (IFER) approach is introduced in this paper to deal with imprecise classification efficiently....