Figure 5
From: Deep learning segmentation of hyperautofluorescent fleck lesions in Stargardt disease
Architecture of ResNet-UNet. The structure of the ResNet-UNet uses the traditional UNet structure, which comprises of encoder (down-sampling) and decoder (up-sampling) portions. The down-sampling encoder is replaced by the ResNet-34 model. Conv n*n indicates n × n convolutional layer. TransConv 2*2, up 2 indicates 2 × 2 transposed convolution and keeping stride of 2.
