background : breast carcinoma is the most common malignant tumor and leading cause of cancer deaths in women. while fine needle aspiration cytology is highly accurate in the diagnosis of breast lesions, it possesses certain drawbacks. in those circumstances intraoperative imprint cytology assumes importance, however, imprint cytology is subjected to interpretative errors. computer image analysi...

abstract objective: evaluating the usefulness of the triple test score (tts) in breast lesions. materials and methods: medical records of 100 cases were evaluated and tts was calculated based on of physical examination, mammography and fine-needle aspiration cytology findings. the diagnostic value of tts was assessed according to histopathology results. results: of the 23 lesions with score of ...

− An accurate and standard techniques for breast tumor segmentation plays a pivotal role in detecting and quantifying breast cancers. Segmentation of breast tumor in mammograms presents many challenges related to selection of optimal threshold in various segmentation techniques. In this paper, a mean based region growing segmentation (MRGS) is presented that automatically finds the seed pixel a...

Breast tumor segmentation is needed for monitoring and quantifying breast cancer. However, automated tumor segmentation in mammograms poses many challenges with regard to characteristics of an image. A comparison of two different semi-automated methods, viz., modified gradient magnitude region growing technique (MGMRGT) and watershed method is undertaken here for evaluating their relative perfo...

The objectives of the study were to develop a framework for automatic outer and inner breast tissue segmentation using multi-parametric MRI images of the breast tumor patients; and to perform breast density and tumor tissue analysis. MRI of the breast was performed on 30 patients at 3T-MRI. T1, T2 and PD-weighted(W) images, with and without fat saturation(WWFS), and dynamic-contrast-enhanced(DC...

Breast cancer is one of the most common diseases diagnosed among female cancer patients. Early detection of breast cancer is needed to reduce the risk of fatality of this disease as no cure has been found yet for this illness. This research is conducted to improve the Gradient Vector Flow (GVF) Snake Active Contour segmentation technique in mammography segmentation. Segmentation of the mammogra...

In this article we present a segmentation algorithm based on computational intelligence paradigms for breast lesions on ultrasound. The parameter tuning of three different pulse-coupled neural networks (PCNN) models was performed through two distinct variants of differential evolution (DE) approach. To demonstrate the effectiveness of these hybrid models (i.e. evolutionary PCNN), a set of exper...

PURPOSE This paper presents a computerized segmentation method for breast lesions on ultrasound (US) images. METHODS It consists of first applying a contrast-enhanced approach, i.e., a contrast-limited adaptive histogram equalization. Then, aiming at removing speckle and enhancing the lesion boundary, an anisotropic diffusion filter, guided by texture descriptors derived from a set of Gabor f...

Hamartoma of the breast is a rare benign breast lesion which is unfamiliar to most clinicians, although the mammographic features are usually characteristic. Hamartomas are composed of ducts, lobules, fat and fibrous tissue. These benign lesions are likely to be increasingly diagnosed because of routine screening and hence clinical awareness is paramount to prevent these lesions from being ...

background: sonoelastography (se) is introduced as a complementary technique for ultrasoungraohy (us) to evaluate breast lesions. this method is based on tissue strain in response to compression and decompression. the current study was designed to investigate the diagnostic performance of se for differentiating between benign and malignant breast lesions methods: a total of 35 women with 45 bre...