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Feature Extraction Optimization with Combination 2D-Discrete Wavelet Transform and Gray Level Co-Occurrence Matrix for Classifying Normal and Abnormal Breast Tumors

机译：具有组合2D离散小波变换和灰度共生矩阵的特征提取优化，用于分类正常和异常乳腺肿瘤

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Lulu M. Wisudawati; Sarifuddin Madenda; Eri P. Wibowo; Arman A. Abdullah;
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年度 2020
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1. Feature Extraction Optimization with Combination 2D-Discrete Wavelet Transform and Gray Level Co-Occurrence Matrix for Classifying Normal and Abnormal Breast Tumors [J] . Lulu Wisudawati, Sarifuddin Madenda, Eri Wibowo, Modern Applied Science . 2020,第5期

机译：具有组合2D离散小波变换和灰度共生矩阵的特征提取优化，用于分类正常和异常乳腺肿瘤
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Feature Extraction Optimization with Combination 2D-Discrete Wavelet Transform and Gray Level Co-Occurrence Matrix for Classifying Normal and Abnormal Breast Tumors

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