SERR-U-Net: Squeeze-and-Excitation Residual and Recurrent Block-Based U-Net for Automatic Vessel Segmentation in Retinal Image

<div>Training visualization: (a) ACC with increasing epoch, (b) loss with increasing batch, and (c) ACC with increasing batch.</div>

Computational and Mathematical Methods in Medicine

Figure 6: SERR-U-Net: Squeeze-and-Excitation Residual and Recurrent Block-Based U-Net for Automatic Vessel Segmentation in Retinal Image 