Study On Computer-aided Diagnosis Method Of Mammograms

Breast cancer is one common malignancy which seriously damages the health of women, as causes not yet fully known, the key of the current prevention and treatment of breast cancer lies in "early discovery, early diagnosis and treatment", mammography X-ray photography is the primary means of clinical breast cancer detection. In this paper, it researches on X-ray used in mammography screening and testing of computer-aided diagnostic methods, according to the characteristics of breast X-ray images, obtained using independent component analysis image-based image, the image of the sub-space structure, the image region of interest in sub-space projection factor identification; on the extraction of image feature set based on rough sets to optimize the combination of two technologies to achieve effective image segmentation and feature extraction; support vector machine based on the classical theory, fuzzy set theory, fuzzy support vector set of image features for effective classification of different samples of different weights, is proposed based on the sample method of determining the right density, to eliminate noise and outliers in the sample affect the purpose; proposed based on data fusion two-view breast X-ray image detection in the ipsilateral breast tissue between the different reference frame the view to extract invariant features and similarity features of the region to detect, to improve the detection sensitivity and specificity; final action by the recipient characteristic curve was evaluated on the test results compared.