Mammographic Image Recognition Using Rough Sets and Support Vector Machines
نویسنده
چکیده
Medical image recognition is one of the most important unsolved problems in medicine. Taking the mammogram as the object for research, this paper proposes a method for mammographic image recognition using rough sets and support vector machines (SVMs). Firstly, reduce mammographic noise. Secondly, extract texture and shape features to consist of feature vector that can represent the mammogram accurately. Next, the features are normalized. Finally,attribute reduction by rough sets and classification recognition by SVMs is completed. The experimental results show that this method for mammographic recognition can achieve a satisfactory effect.
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تاریخ انتشار 2014