The use of Image Processing techniques in the field of bio-medical imaging is well known. This paper is an attempt to use image processing algorithms for the enhancing and highlighting suspicious areas in mammogram images for breast cancer detection. An image segmentation method based on morphological watershed transform has been developed. It is based on extraction of watershed lines from a to...

In this work, gray-scale invariant ranklet texture features are proposed for false positive reduction (FPR) in computer-aided detection (CAD) of breast masses. Two main considerations are at the basis of this proposal. First, false positive (FP) marks surviving our previous CAD system seem to be characterized by specific texture properties that can be used to discriminate them from masses. Seco...

Mass lesions are one of the breast cancer tumors. Mammogram images first screening tool to detect tumors in women breast, but due radiologist fatigue, number false positive (FP) and negative (FN) rates increased. The main objective this paper is develop an intelligent computer aided diagnosis (CAD) system that can accurately mass digitized mammogram images. proposed method has three stages. sta...

Mammogram segmentation utilizing multi-region of intrigue is a standout amongst the most rising exploration territory in medical image analysis. The steps engaged with research are grouped into two kinds: 1) mammogram images and 2) extraction texture features from images. To overcome these difficulties, compelling technique proposed this paper that comprises three phases. In principal arrangeme...

Accurate classification of images is essential for the analysis of mammograms in computer aided diagnosis of breast cancer. We propose a new approach to classify mammogram images based on fractal features. Given a mammogram image, we first eliminate all the artifacts and extract the salient features such as Fractal Dimension (FD) and Fractal Signature (FS). These features provide good descripti...

In patients with advanced breast cancer, most new calcifications detected on a mammogram after neoadjuvant chemotherapy are benign dystrophic calcifications, but this is not always observed. We present a patient with advanced breast cancer who had paradoxically increased malignant microcalcifications concomitant with primary tumor regression after undergoing neoadjuvant chemotherapy. After the ...

We present a case of a 57-year-old woman with a past medical history of end-stage renal disease and a recent history of electrical defibrillation who arrived for her annual mammogram with no breast-related complaints. The mammogram showed interval development of unusual clusters of heterogeneous calcifications. The patient underwent stereotactic core-needle biopsy for definitive diagnosis. The ...