Mammography can be considered as the current gold standard for detecting early signs of
breast cancer and is in wide use throughout the world. As confirmed by many studies, breast …

This paper presents a review of recent advances in the development of methods for
segmentation of the breast boundary and the pectoral muscle in mammograms. Regardless …

Accurate classification of different tumors in mammography plays a critical role in the early
diagnosis of breast cancer. However, owing to variations in appearance, it is a challenging …

Extraction of the breast border and simultaneously exclusion of pectoral muscle are principal
steps for diagnosing of breast cancer based on mammogram data. The objective of propose …

Mass localization is a crucial problem in computer-aided detection (CAD) system for the
diagnosis of suspicious regions in mammograms. In this paper, a new automatic mass …

OBJECTIVES: This paper introduces a new graph-based method for segmenting breast
tumors in US images. BACKGROUND AND MOTIVATION: Segmentation for breast tumors in …

Mammograms are X-ray images of breasts which are used to detect breast cancer. The
pectoral muscle is a mass of tissue on which the breast rests. During routine mammographic …

Computer-aided diagnosis systems (CADx) play a major role in the early diagnosis of breast
cancer. Extracting the breast region precisely from a mammogram is an essential …

Removal of noise and pectoral muscles are the two important pre-processing steps in CAD
system for the diagnosis of breast cancer. This work combines Robust Outlyingness Ratio …

In computer-aided diagnosis systems for breast mammography, the pectoral muscle region
can easily cause a high false positive rate and misdiagnosis due to its similar texture and …