we combine the model output into the original CT volume. The 3D CNN was trained using the SGD optimizer with a momentum of 0.9, a peak learning rate of 0.1 for randomly initialized weights, a weight decay of 0.0001, and an initial learning rate of 0.01 that shrank by 0.99995 after each ...
Transluminal Attenuation Gradient (TAG) has been proposed as a non-invasive method for evaluating the functional significance of coronary stenoses using CT Angiography (CTA). However TAG has not previously been used to assess CAA. We hypothesized that abnormal flow dynamics in CAA caused by KD ...