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机译:基于Shearlet的纹理特征提取在超声图像中对乳腺肿瘤进行分类
Department of Ultrasound, Fudan University Shanghai Cancer Center,Department of Oncology, Shanghai Medical College, Fudan University, PR China;
School of Communication and Information Engineering, Shanghai University, No. 149, Yanchang Road, Zhabei District, Shanghai 200072,PR China;
School of Communication and Information Engineering, Shanghai University, PR China;
School of Communication and Information Engineering, Shanghai University, PR China;
School of Communication and Information Engineering, Shanghai University, PR China;
Shearlet transform; Texture feature; Breast tumor; Ultrasound image; Classification;
机译:基于超声纹理特征和Nakagami参数图像对良性和恶性乳腺肿瘤内散射介质的分类。
机译:Contourlet纹理特征提取对乳腺超声图像良性和恶性肿瘤进行分类的分析
机译:通过有效地结合超声图像纹理和形态特征的良性和恶性乳腺肿瘤分类方法
机译:基于Shearlet的超声纹理特征对乳腺癌的分类
机译:使用纹理运动学来从乳腺肿瘤DCE MR图像中获取诊断信息
机译:通过有效地结合超声图像纹理和形态特征的良性和恶性乳腺肿瘤分类方法
机译:利用纹理和形态特征自动检测和分类超声图像中的乳腺肿瘤