Ditemukan 1 dokumen yang sesuai dengan query
Anggrek Citra Nusantara
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Breast cancer can be detected using digital mammograms. In this research study, a system is designed to classify digital mammograms into two classes, namely normal and abnormal, using the k-Nearest Neighbor (kNN) method. Prior to classification, the region of interest (ROI) of a mammogram is cropped, and the feature is extracted using the wavelet transformation method. Energy, mean, and standard deviation from wavelet decomposition coefficients are used as input for the classification. Optimal accuracy is ...
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Depok: Faculty of Engineering, Universitas Indonesia, 2016
UI-IJTECH 7:1 (2016)
Artikel Jurnal Universitas Indonesia Library