In order to correctly perceive and interpret mammogram images, assessment and categorization skills have to be taught in order for the reader to detect early breast cancer. Based on the detected finding, a clear recommendation is given by the final assessment category. The sensitivity of mammography...
approximately 2.8 million women have a mammogram as part of thebreast cancer screeningprogram in Germany. However, the results are not always easy to interpret. Therefore, about one in 20 women who undergo
“Looking back, there was clearly no tumor on the previous mammograms, but was there something in these very complex images that would hint at... a wrong development?” Barzilay asked. “It clearly didn’t just appear. Biological processes are in place to make a successful growth and it cl...
Women interpret and understand breast cancer risks differently and enact prevention practices within the parameters afforded by their social class positions. These findings are useful to inform improved public health approaches regarding both modifiable breast cancer risks and increasing mammography screening. ...
Grad-CAM (gradient-weighted class activation mapping) [109] is a technique used in computer vision and deep learning to visualize and interpret the regions of an image that are most influential in the prediction made by a convolutional neural network. Hence, in the proposed methodology, the ...
Grad-CAM (gradient-weighted class activation mapping) [109] is a technique used in computer vision and deep learning to visualize and interpret the regions of an image that are most influential in the prediction made by a convolutional neural network. Hence, in the proposed methodology, the ...