Figure 5
From: Automatic enhancement preprocessing for segmentation of low quality cell images
Overview of network structures. The proposed method is based on the U-Net architecture. The encoder and decoder networks consist of six layers. Each layer includes a convolution layer (Conv), batch normalization (BN), activation ReLU (ReLU), and dropout (DP). The first network (Network1) obtains segmentation results and translation filters using two output layers, and the second network (Network2) obtains segmentation results at the output layer.
