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The classification of breast masses into benign and malignant categories plays an important role in the area of computer-aided diagnosis (CAD) of breast cancer. In this paper, one novel scheme based on multi-view information fusion is proposed, in order to improve the accuracy and the robustness of the classification and reduce the false positive rates. Five contour and shape features of the masses...
The purpose of this study is to investigate the significance of the multi-agent interactive information fusion algorithm over the matter of identification of breast masses in digitized images. For the lack of enough correlation information between the individual classifiers, the generalization performance of the Bayesian fusion method is sometimes far from the expected level, and thereby the multi-agent...
Mass segmentation plays an important role in many computer-aided diagnosis (CAD) system. It is usually used as the previous step of mass classification. In this paper, we propose one novel scheme for segmentation of breast mass in digitized mammograms, which is based on gradient vector flow (GVF) snake and multi-scale analysis using Gaussian pyramid. In the proposed method, mammogram is decomposed...
Breast cancer has become one of the most dangerous tumors for middle-aged and older women in China recently. Mammography is its most reliable detection method in the clinic, and computer-aided diagnosis (CAD) could assist the radiologists in reading the mammograms. In this paper, a new algorithm was proposed to estimate the skin-line of the breast automatically, which could be divided into four steps...
Nowadays, breast cancer has become one of the most dangerous tumors for middle-aged and older women in China. Mammography plays an important role in the clinical diagnosis of breast cancer, and microcalcifications (MCs) are one of the main symptoms in the mammograms. In order to assist the radiologists to detect the MCs accurately and rapidly, a novel computer-aided diagnosis method was proposed in...
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