biological tissues; image classification; image denoising; image segmentation; mammography; medical image processing; radiology; records management; BI-RADS criteria; Chi-square value; Kappa coefficient; breast tissue; data archiving; fibroglandular tissue; mammographic density classification; mammographic images digitization; medical image denoising; medical image segmentation; morphological segmentation; radiology; salt-and-pepper noise; template-based segmentation; Biomedical imaging; Breast cancer; Breast tissue; Image edge detection; Image segmentation; Noise; BI-RADS Criteria; Mammographic Density; Segmentation;
机译:利用基于小波和微调卷积神经网络进行乳房X线图中乳房密度的分类
机译:使用基于小波的微调卷积神经网络对乳腺X线摄影图像中的乳房密度进行分类
机译:正常筛查乳房X线照片的分类受到感知乳房X线乳房密度的强烈影响
机译:使用深度神经网络的乳房X线乳腺密度分类:基于观察者间差异的评估
机译:老年妇女的骨矿物质密度,乳腺摄影密度和性类固醇激素。
机译:Quantra™应该被认为是进行两级乳腺X线密度分类的工具
机译:国家间使用视觉分级对乳房密度分类进行分析。乳房X光检查乳房密度的视觉分级分析