Mammography is a specific type of imaging system used to examine the breast as mentioned by Tang et al (2009) and radiology information available online (2010). Wang and Karayiannis (1998) claim that, one of the difficulties with mammography is that mammograms generally have low contrast. This makes it difficult for the radiologists to interpret the results. CAD is used to aid radiologists in t...

Specific anatomical structures from the female body, such as axillary slope, armpit, pectoral muscle, or abdominal tissue, can be present in mammograms and might affect proper mammogram analysis, especially populations with overweight issues, is case Mexico. This work aims to determine if better results obtained an automatic analysis by removing fatty tissues a preprocessing step. The experimen...

The amount of tissue available in the breast, commonly characterized by the breast density, is highly correlated with breast cancer. In fact, dense breasts have higher risk of developing breast cancer. On the other hand, breast density influences the mammographic interpretation since it decreases the sensitivity of breast cancer detection. This sensitivity decrease is due to the fact that both ...

Breast cancer as a medical condition and mammograms as images exhibit many dimensions of variability across the population. Similarly, the way diagnostic systems are used and maintained by clinicians varies between imaging centres and breast screening programmes, and so does the appearance of the mammograms generated. A distributed database that reflects the spread of pathologies across the pop...

Radiologists can use the differences between the left and right breasts, or asymmetry, in mammograms to help detect certain malignant breast cancers. An image similarity method is introduced to make use of this knowledge base to recognize breast cancer. Image similarity is determined using a contextual and then a spatial comparison. The mammograms are filtered to find the most contextually sign...

Computer aided diagnostic systems can assist radiologist in detecting breast cancer at an early stage with improved mammogram interpretation efficiency. In this paper, six fractal based features obtained from the fractal dimension computed using differential box counting method, are used for distinguishing between normal mammograms from the cancerous ones. The new fractal feature f6 derived fro...

Mammograms are one of the most widely used techniques for preliminary screening of breast cancers. There is great demand for early detection and diagnosis of breast cancer using mammograms. Texture based feature extraction techniques are widely used for mammographic image analysis. In specific, wavelets are a popular choice for texture analysis of these images. Though discrete wavelets have bee...

Breast cancer is a most common disease diagnosed in women. The Microcalcification Clusters (MCs) in the mammograms are one of the important early sign. The accurate detection of microcalcifications is a key problem in Computer Aided Detection (CAD). In this paper, we have proposed a novel association rule mining approach for classification of microcalcifications. Initially, the shape features a...

Breast Cancer is the second most frequently diagnosed cancer, leading to cancer death worldwide. Early detection of breast cancer saves lives. Mammograms play an important tool in early detection of breast cancer. Cancer that originates from the breast tissue is called as Breast Cancer. Cancer originating from the inner lining of milk ducts is called as Ductal Carcinomas (70%). Cancer originati...

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...