Automatic detection of vessel structure by deep learning using intravascular ultrasound images of the coronary arteries
Fig 2
Illustration of U-Net used in this study.
The architecture of U-Net used in this study is illustrated. The blue block and orange block are two-dimensional convolutional layers (kernel size = 3 × 3, stride = 1) with dropout (rate = 0.1). The number in the blue block denotes the feature map size. The green block shows the maximum pooling layer (pool size = 2 × 2), the pink block shows the upsampling layer (size = 2 × 2), and the red dashed arrows show the concatenation of the two layers.