Atrous residual convolutional neural network based on u-net for retinal vessel segmentation

HIGHLIGHTS

• who: Jin Wu et al. from the School of Information Science and Engineering, Wuhan University of Science and Technology, Wuhan, and Electronic Engineering, Xinxiang University, Xinxiang, China have published the research: Atrous residual convolutional neural network based on U-Net for retinal vessel segmentation, in the Journal: PLOS ONE of August/22,/2022
• what: The authors propose an ARN model with a atrous block to address these issues which can avoid the loss of data structure and enlarge the receptive field so that each convolution output contains a larger range of information. The analysis of . . .
  

   

  

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