To this end, we propose a deep network embedded with rough fuzzy discretization (RFDDN) for OCT fundus image segmentation.  We compare RFDDN with U-Net, ReLayNet, CE-Net, MultiResUNet, and ISCLNet on the two groups of 3D retinal OCT data.  RFDDN is superior to the other five methods on all evaluation indicators.  The results obtained by ISCLNet are the second only inferior to those obtained by RFDDN.  DSC, sensitivity, and specificity of RFDDN are evenly 3.3%, 2.6%, and 7.1% higher than those of ISCLNet, respectively.  HD95 and ASD of RFDDN are evenly 6.6% and 19.7% lower than those of ISCLNet, respectively. 
RFDDN