Mammography is the most effective technique for breast cancer screening and detection of
abnormalities. However, early detection of breast cancer is dependent on both the …

Neutrosophic Analysis is a generalization of Set Analysis, which in its turn is a
generalization of Interval Analysis. Neutrosophic Precalculus is referred to indeterminate …

Present study proposes a fast, accurate and automated segmentation approach of
mammographic images using kernel based fuzzy c-means (FCM) clustering technique. This …

Breast cancer is one of the major causes of death among women around the world. To
diagnose this disease using mammography technique, segmentation is an important step to …

Mass segmentation in mammograms is a challenging task if the mass is located in a local
dense background. It can be due to the similarity of intensities between the overlapped …

Breast cancer is the leading cause of deaths among female cancer patients. Mammography
is the most effective technique for breast cancer screening and detection of abnormalities …

An automatic method for detection of mammographic masses is presented which utilizes
statistical region merging for segmentation (SRM) and linear discriminant analysis (LDA) for …

Finding masses in dense background is a difficult task for even experienced radiologist. It is
due to the similarity of intensity between the masses and the overlapped normal dense …

Image-based examination of the breast facilitates the detection of breast diseases,
particularly of present benign and malignant lesions. For computer-aided processing of …

Image segmentation is an important task in the analysis of mammograms and it is
challenging because the masses are low contrast with ambiguous margins. The classical …