Breast region segmentation is the process of splitting mammogram image into breast region and background to focus and limit the search for abnormality on the breast region without the effect of the background on the results. In addition, performance of existing Computer Aided Detection (CAD) systems for detection of malignant tumours in breast tissue have been limited by the methods of segmenta...

In order to improve accuracy of computer-aided diagnosis of breast lumps, the authors introduce an improved interactive segmentation method based on Live Wire. This paper presents the Gabor filters and FCM clustering algorithm is introduced to the Live Wire cost function definition. According to the image FCM analysis for image edge enhancement, we eliminate the interference of weak edge and ac...

For cancer detection and tissue characterization, DCE-MRI segmentation lesion is a critical image analysis task. To segment breast MR images for detection, hard-clustering technique with Grammatical Fireworks algorithm (GFWA) proposed in this paper. GFWA Swarm Programming (SP) system automatically generating computer programs any language. used to create the cluster core clustering article. The...

The paper proposes an approach to the segmentation of solid breast lesions and their peripheral areas in ultrasound images. It is noted that identifying outermost lesion structures important step for further classification, directly affecting final classification its type. main feature proposed implementation takes into account peculiarities pixel brightness variations original image, without u...

Background: India is facing challenging situation because the incidence of breast cancer has increased by 14% and mortality rate 11.1%. Breast- i a new tool for effective screening, especially detecting both non-palpable very small lesions often missed Clinical Breast Examination (CBE). This device expected to help in tiny outpatient clinic itself, helping reducing morbidity associated with lat...

Breast cancer ranks as the second most common malignancy among women and second-most reason for deaths worldwide. Digital Mammogram screening can offer low-cost early diagnosis reduce breast fatality rate victims. This research aims to build a model that automatically assists in classifying malignant benign lesions depicted on digital mammograms without any human interventions. The Mammographic...

Genomic instability is a hallmark of breast and other solid cancers. Presumably caused by critical telomere reduction, GI is responsible for providing the genetic diversity required in the multi-step progression of the disease. We have used multicolor fluorescence in situ hybridization and 3D image analysis to quantify genomic instability cell-by-cell in thick, intact tissue sections of normal ...

The segmentation of whole breast serves as the first step towards automated breast lesion detection. It is also necessary for automatically assessing the breast density, which is considered to be an important risk factor for breast cancer. In this paper we present a fully automated algorithm to segment the whole breast in low-dose chest CT images (LDCT), which has been recommended as an annual ...

Breast asymmetry is an important radiological sign of cancer. This paper describes the first approach aiming to detect all types of asymmetry; previous asymmetrybased research has been focussed on the detection of mass lesions. The conventional approach is to search for brightness or texture differences between corresponding locations on left and right breast images. Due to the difficulty in ac...

PURPOSE Segmentation of breast lesions on dynamic contrast enhanced (DCE) magnetic resonance imaging (MRI) is the first step in lesion diagnosis in a computer-aided diagnosis framework. Because manual segmentation of such lesions is both time consuming and highly susceptible to human error and issues of reproducibility, an automated lesion segmentation method is highly desirable. Traditional au...