Wavelet Features Extraction for Medical Image Classification
نویسندگان
چکیده
Abstratct: In this paper, we present a method for classification of medical images. Wavelet features of different modalities of medical images are extracted. Then mean and standard deviation of extracted wavelet features are computed. We utilize KNearest Neighbor classifier to classify medical imaging modalities as X-ray, MRI and CT. Experiments are conducted on medical database containing 4,500 images. We achieve 99.96% classification accuracy which presents the efficiency of our proposed approach.
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تاریخ انتشار 2011