Breast cancer causes massive deaths every year. To prevent this, the detection of a tumor in
its initial stage is necessary. And correctly identifying a tumor from an ultrasound image …

MR based methods have gained an important role for the clinical detection and diagnosis of
breast cancer. Dynamic contrast-enhanced MRI of the breast has become a robust and …

In this paper, a heuristic approach to automated nipple detection in digital mammograms is
presented. A multithresholding algorithm is first applied to segment the mammogram and …

Detection of the nipple in mammograms is an important step in algorithms for the detection
of breast cancer. However, locating the nipple position is a challenging task due to distortion …

Several studies have showed that increased mammographic density is an important risk
factor for breast cancer. Dense tissue often appears as textured regions in mammograms, so …

Digital mammography brought many changes in the development of computer aided
detection (CAD) algorithms. Many preprocessing steps on mammograms are made …

The presence of nipples in human trunk images is considered a main problem in psoriasis
images. Existing segmentation methods fail to differentiate between psoriasis lesions and …

The automatic segmentation of relevant structures such as skin edge, chest wall, or nipple in
dynamic contrast enhanced MR imaging (DCE MRI) of the breast provides additional …

Nipple is a vital landmark in the breast lesion diagnosis. Although there are advanced
computer-aided detection (CADe) systems for nipple detection in breast mediolateral …

Mammogram registration is an important preprocessing technique, which helps in finding
asymmetrical regions in left and right breast. However, correct nipple position is the crucial …