DUNet: A deformable network for retinal vessel segmentation

作者：

Highlights：

• A deep neural network (DUNet) for automatic segmentation of retinal vessel is built.

• DUNet exploits the retinal vessels’ features with a U-shape architecture.

• DUNet captures retinal vessels adaptively, according to vessels’ scales and shapes.

• DUNet extracts more detailed vessels than deformable neural network and U-Net.

• Comparisons between many methods show competitive performance and generalization.

摘要

•A deep neural network (DUNet) for automatic segmentation of retinal vessel is built.•DUNet exploits the retinal vessels’ features with a U-shape architecture.•DUNet captures retinal vessels adaptively, according to vessels’ scales and shapes.•DUNet extracts more detailed vessels than deformable neural network and U-Net.•Comparisons between many methods show competitive performance and generalization.

论文关键词：Retinal blood vessel,Segmentation,DUNet,U-Net,Deformable convolution

论文评审过程：Received 25 December 2018, Revised 26 April 2019, Accepted 27 April 2019, Available online 3 May 2019, Version of Record 4 June 2019.

论文官网地址：https://doi.org/10.1016/j.knosys.2019.04.025