This image shows two mammograms of normal, dense breasts. As with the first image, the dark areas are fatty tissue, and the light areas are denser tissue that contains ducts, lobes, and other features. Compare these images and you can see the differences in density in what are both normal...
Measurements were focused on the effects of adaptation to images of normal mammograms, and were tested primarily in observers who were not trained radiologists. Mammograms have steeper power spectra (slopes of ~-3) than natural images (~-2) and thus are physically blurry. Adapting to them ...
The core of this book consists of high-quality images that clearly demonstrate normal breast features and pathologic abnormalities, thus providing essential visual support for radiologists interpreting mammograms. 展开 DOI: doi:http://dx.doi.org/10.1148/radiol.2402062569 被引量: 18 ...
This includes 154,832 women with normal breasts, 6909 women with benign findings, 9690 women with screen-detected cancers and 1888 women with interval cancers. Collection is on-going and all women are followed-up and their clinical status updated according to subsequent screening episodes. The ...
transformation, with parameters randomly picked between 0.8 and 1.2. Lastly, elastic deformation, following the methodology from the original U-Net paper42, was applied using a deformation grid with normal distribution displacements (σ = 2 voxels) and smoothed with a third-order spline filter....
to fool an AI model to give a wrong diagnosis of malignancy, or, similarly, by removing a lesion from an otherwise malignant image to fool an AI model to give a wrong diagnosis of normal, may lead to serious consequences for clinically deployed AI-CAD systems if these GAN models are used...
In this paper we carried out a comparative study of performance of discrete wavelettransformation (DWT) and stationary wavelet transformation (SWT) for classifying mammogram images into Normal, Benignand Malignant. In each wavelet transformations, a fractional part of the highest wavelet coefficients is...
while only C-ML did not follow a normal distribution. There was no significant difference in mean age between the sexes (P = 0.482). The mean values of AS and of each measurement were significantly greater in men than in women (C-ML, P < 0.01; AS, MLF, LAP, C-LAP, and...
and the lesions of the liver tissue adjacent to the cancer. Among them, the degree of differentiation can reflect the degree of malignancy. The higher the degree of differentiation, the closer to the normal tissue cells, the lower the degree of malignancy. The lower the degree of differentiatio...
Image texture, the relative spatial arrangement of intensity values in an image, encodes valuable information about the scene. As it stands, much of this potential information remains untapped. Understanding how to decipher textural details would afford