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The chaotic vascular network surrounding malignant tumors leads to pulsatile blood flow patterns that differ from those in benign regions of the breast. This study aimed to determine if high-speed electrical impedance tomography (EIT) is able to detect conductivity changes associated with cyclic blood-volume changes and to gauge the potential of using these signatures to differentiate malignant from...
The purpose of this paper is to describe the technical and clinical performance of SoftVue, a breast imaging device based on the principles of ultrasound tomography. We report on initial results from data acquired from 30 participants in a recently undertaken clinical study. Initial results suggest that SoftVue can accurately image the full range of breast anatomy, including both benign lesions and...
The computer-aided detection (CAD) system plays a vital role in early cancer diagnosis and thus aids in reducing the mortality rate of breast cancer. In this study, a hierarchical template matching method is proposed to detect the breast mass in mammograms. First, three types of templates are designed and compared, and the sech template is selected to match the mass. Then, a hierarchical matching...
The two-dimensional (2D) S-transform can provide a more localized measure of image texture than is possible with the Fourier transform (FT). However there is a considerable time penalty: Order(N4 log N) when compared to an Order(N2 log N) FT implementation via the fast Fourier transform (FFT). We investigate the characteristics of the textural features identified when using a 2D variant of the fast...
Computer Aided Diagnosis (CAD) systems have improved diagnosis of abnormalities in mammogram images. The principal feature within the breast region is the breast contour. Extraction of the breast region and delineation of the breast contour allows the search for abnormalities to be limited to the region of the breast without undue influence from the background of the mammogram. After performing an...
The development of computer-aided diagnosis (CAD) for breast magnetic resonance (MR) images has encountered some big challenges. One of these challenges is related to breast lesion segmentation. Accurate segmentation of breast lesions has a vital role in other consequent applications such as feature extraction. Since malignant breast lesions typically appear with irregular borders and shapes in MR...
Clustering ensembles can combine multiple partitions generated by different clustering methods into a final superior clustering result. Compared to single clustering algorithm, it can provide better solutions in terms of robustness, novelty and stability. In this paper, we proposed a new method named CEMF, i.e., Clustering Ensembles Based on Multi-classifier Fusion. We combine the clustering ensembles...
Mammograms are X-ray images which are used in breast cancer detection. In Computer Aided Detection of breast cancer from digital mammogram, elimination of pectoral muscle is a very important and challenging issue. This is because of the fact that pectoral muscle in mediolateral oblique (MLO) mammogram images has common photographic properties with suspicious mass and micro-calcification. Presence...
The incidence of breast cancer and associated deaths are a recognized world health problem. Conventional screening approaches such as x-ray mammography, ultrasound and increasingly contrast-enhanced MRI are life saving to many women. However, the sensitivity and specificity of these modalities are still limited and there is clearly room for alternatives. Microwave imaging is a potentially important...
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